Real world data: an opportunity to supplement existing evidence for the use of long-established medicines in health care decision making

Treatment pattern among patients with relapsed/refractory multiple myeloma (RRMM) who had received pomalidomide-based regimens in Taiwan

BACKGROUND/PURPOSE

The treatment landscape of relapsed/refractory multiple myeloma (RRMM) is rapidly evolving in Taiwan. The present study aimed to assess the treatment patterns among RRMM patients in Taiwan.

METHODS

This retrospective, chart review-based, non-interventional study collected data on RRMM patients (≥20 years old) receiving pomalidomide-based treatment between January 2017 and December 2020 across five sites in Taiwan.

RESULTS

Median age of the study population was 65.6 years. Approximately 75% patients received a doublet regimen and 25% were on a triplet regimen. Disease progression was the most common cause for switching to pomalidomide-based treatments in doublet (71.2%) and triplet (58.3%) groups. Patients in doublet and triplet groups (>80%) received 4 mg pomalidomide as a starting dose. Overall response rate (ORR: 31.5% and 45.8%) and median progression-free survival (PFS: 4.7 and 6.8 months) were reported in the doublet and triplet regimen. Doublet regimen was discontinued mainly due to disease progression or death (78.1%); however, triplet regimen patients mainly terminated their treatment due to reimbursement limitations (29.2%). Healthcare resource utilization (HRU) was comparable between doublet and triplet groups.

CONCLUSION

In Taiwan, half of RRMM patients received pomalidomide-based triplet regimens. Triplet regimens showed a trend towards better outcomes with longer PFS and higher response rates compared to doublets. Notably, the duration of triplet use is influenced by reimbursement limitations. This study provides insight into RRMM treatment patterns in Taiwan and the findings suggest that triplet regimens may be a better alternative than doublet regimens.

Harmonizing Norwegian registries onto OMOP common data model: Mapping challenges and opportunities for pregnancy and COVID-19 research

OBJECTIVE

Norwegian health registries covering entire population are used for administration, research, and emergency preparedness. We harmonized these data onto the Observational Medical Outcomes Partnership common data model (OMOP CDM) and enrich real-world data in OMOP format with COVID-19 related data.

METHODS

Data from six registries (2018-2021) covering birth registrations, selected primary and secondary care events, vaccinations, and communicable disease notifications were mapped onto the OMOP CDM v5.3. An Extract-Transform-Load (ETL) pipeline was developed on simulated data using data characterization documents and scanning tools. We ran dashboard quality checks, cohort generations, investigated differences between source and mapped data, and refined the ETL accordingly.

RESULTS

We mapped 1.5 billion rows of data of 5,673,845 individuals. Among these, there were 804,277 pregnancies, 483,585 mothers together with 792,477 children, and 472,948 fathers. We identified 382,516 positive tests for COVID-19 in 380,794 patients. These figures are consistent with results from source data. In addition to 11 million source codes mapped automatically, we mapped 237 non-standard codes to standard concepts and introduced 38 custom concepts to accommodate pregnancy-related terminologies that were not supported by OMOP CDM vocabularies. A total of 3,700/3,705 (99.8%) checks passed. The 5 failed checks could be explained by the nature of the data and only represent a small number of records.

DISCUSSION AND CONCLUSION

Norwegian registry data were successfully harmonized onto OMOP CDM with high level of concordance and provides valuable source for federated COVID-19 related research. Our mapping experience is highly valuable for data partners with Nordic health registries.

A future of AI-driven personalized care for people with multiple sclerosis

Multiple sclerosis (MS) is a devastating immune-mediated disorder of the central nervous system resulting in progressive disability accumulation. As there is no cure available yet for MS, the primary therapeutic objective is to reduce relapses and to slow down disability progression as early as possible during the disease to maintain and/or improve health-related quality of life. However, optimizing treatment for people with MS (pwMS) is complex and challenging due to the many factors involved and in particular, the high degree of clinical and sub-clinical heterogeneity in disease progression among pwMS. In this paper, we discuss these many different challenges complicating treatment optimization for pwMS as well as how a shift towards a more pro-active, data-driven and personalized medicine approach could potentially improve patient outcomes for pwMS. We describe how the 'Clinical Impact through AI-assisted MS Care' (CLAIMS) project serves as a recent example of how to realize such a shift towards personalized treatment optimization for pwMS through the development of a platform that offers a holistic view of all relevant patient data and biomarkers, and then using this data to enable AI-supported prognostic modelling.

[Invasive neurostimulation in neuro-urology: state of the art]

Modulation or stimulation of the nerves supplying the lower urinary tract is a possible treatment option for dysfunction of the lower urinary tract, pelvic floor and rectum if conservative or minimally invasive treatment approaches fail. This overview shows the possibilities and limitations of sacral neuromodulation, sacral deafferentation with sacral anterior root stimulation and conus deafferentation.Sacral neuromodulation (SNM) is a procedure for the treatment of refractory pelvic floor dysfunction of various origins (idiopathic, neurogenic or post-operative), such as overactive bladder, non-obstructive retention and faecal incontinence. A particular advantage of SNM is the possibility of prior test stimulation with a high prognostic value. The procedure is minimally invasive, reversible and associated with relatively low morbidity rates.Following the introduction of MRI-compatible SNM systems, there has been renewed interest in the treatment of neurogenic bladder dysfunction. A recent meta-analysis reports similar success rates as in the idiopathic patient population.Sacral deafferentation with implantation of a sacral anterior root stimulator (SARS/SDAF) is an excellent therapeutic option for patients with spinal cord injury, which can significantly improve the quality of life of those affected and, in addition to treating neurogenic lower urinary tract dysfunction, can also have a positive effect on neurogenic bowel dysfunction, neurogenic sexual dysfunction or autonomic dysreflexia. If conservative or minimally invasive treatment fails, it is crucial for the success of this procedure to consider SDAF/SARS at an early stage in order to avoid irreversible organic damage.Conus deafferentation (KDAF) is a less invasive surgical treatment option for patients with spinal cord injury for whom sacral deafferentation would be indicated but who would not benefit from the simultaneous implantation of a sacral anterior root stimulator. In principle, these patients also have the option of being subsequently treated with an extradural implant and thus utilising the advantages of anterior root stimulation. Indications for KDAF are autonomic dysreflexia, therapy-refractory detrusor overactivity, recurrent urinary tract infections, urinary incontinence and spasticity triggered by detrusor overactivity. With KDAF, we have a safe and efficient procedure with great potential for improving the spectrum of paraplegiological and neuro-urological treatment.

Towards equitable AI in oncology

Artificial intelligence (AI) stands at the threshold of revolutionizing clinical oncology, with considerable potential to improve early cancer detection and risk assessment, and to enable more accurate personalized treatment recommendations. However, a notable imbalance exists in the distribution of the benefits of AI, which disproportionately favour those living in specific geographical locations and in specific populations. In this Perspective, we discuss the need to foster the development of equitable AI tools that are both accurate in and accessible to a diverse range of patient populations, including those in low-income to middle-income countries. We also discuss some of the challenges and potential solutions in attaining equitable AI, including addressing the historically limited representation of diverse populations in existing clinical datasets and the use of inadequate clinical validation methods. Additionally, we focus on extant sources of inequity including the type of model approach (such as deep learning, and feature engineering-based methods), the implications of dataset curation strategies, the need for rigorous validation across a variety of populations and settings, and the risk of introducing contextual bias that comes with developing tools predominantly in high-income countries.

Methods to advance health equity and social justice in healthcare: Protocol for a scoping review on the utilisation of routinely collected data

BACKGROUND

Many areas of healthcare are impacted by a paucity of research that is translatable to clinical practice. Research utilising real-world data, such as routinely collected patient data, may be one option to efficiently create evidence to inform practice and service delivery. Such studies are also valuable for exploring (in)equity of services and outcomes, and benefit from using non-selected samples representing the diversity of the populations served in the 'real world'. This scoping review aims to identify and map the published research which utilises routinely collected clinical healthcare data. A secondary aim is to explore the extent to which this literature supports the pursuit of social justice in health, including health inequities and intersectional approaches.

METHOD

This review utilises Arksey and O'Malley's methodological framework for scoping reviews and draws on the recommended enhancements of this framework to promote a team-based and mixed methods approach. This includes searching electronic databases and screening papers based on a pre-specified inclusion and exclusion criteria. Data relevant to the research aims will be extracted from included papers, including the clinical/professional area of the topic, the source of data that was used, and whether it addresses elements of social justice. All screening and reviewing will be collaborative and iterative, drawing on strengths of the research team and responsive changes to challenges will be made. Quantitative data will be analysed descriptively, and conceptual content analysis will be utilised to understand qualitative data. These will be collectively synthesised in alignment to the research aims.

CONCLUSION

Our findings will highlight the extent to which such research is being conducted and published, including gaps and make recommendations for future endeavours for real-world data studies. The findings from this scoping review will be relevant for practitioners and researchers, as well as health service managers, commissioners, and research funders.

Prescription Drug Utilization among Patients with Essential Tremor: A Cross-Sectional Study of More Than 36,000 Patients

BACKGROUND

Essential tremor (ET) is a chronic, progressive neurological disease that affects an estimated 7 million individuals in the United States (ie, 2.2% of the entire U.S. population). Despite its high prevalence, there are a few published studies on patterns of prescription medication use among patients.

OBJECTIVE

The aim was to examine prescription drug medication use among ET patients.

METHODS

This is a cross-sectional study of ET patients, age ≥40, with at least 1 prescription medication fill using the Optum's de-identified Clinformatics Data Mart Database from 2018 through 2019. We examined patterns of fills of key agents used to treat ET.

RESULTS

The final sample comprised 36,839 ET patients in the United States; 89% had at least 1 prescription drug claim over a 2-year period, indicating that 9 of 10 ET patients take a medication to treat their disease. For each of the 3 most frequently prescribed medications, only a modest fraction (1/5 to 1/4) of patients were taking that medication. Adherence to these agents was 52% to 61%. A high percentage of patients had fills for more than 1 of the main agents we studied.

CONCLUSION

These data illustrate a need for medication in the ET population. There is only 1 FDA-approved medication to treat ET, propranolol, and less than 25% of ET patients used this drug during our study period. At the same time, no single agent was utilized by more than one quarter of ET patients, adherence was low, and use of multiple agents was common. For such a common disease, the pharmacotherapeutic landscape is impoverished.

Factors Involved in Anti-VEGF Treatment Decisions for Neovascular Age-Related Macular Degeneration: Insights from Real-World Clinical Practice

Background

Anti-vascular endothelial growth factor (anti-VEGF) agents are widely prescribed for the treatment of neovascular age-related macular degeneration (nAMD). Although studies have investigated patient choice of anti-VEGF agent, little is known regarding factors that influence physician preference of anti-VEGF agent for their patients.

Objective

To describe physician rationale and challenges in prescribing anti-VEGF treatments for patients with nAMD.

Methods

Data were drawn from the Adelphi Real World nAMD Disease Specific Programme™, a cross-sectional survey with retrospective data capture of physicians and their patients with nAMD in the United States between October 2021 and May 2022. Physicians (n = 56) reported data for up to 13 consecutively consulting patients (n = 451), including current anti-VEGF treatments used, factors affecting physicians' choice of anti-VEGF agent and treatment strategy, and restrictions on specific agents.

Results

Most physicians prefer employing a "treat-and-extend" treatment strategy, over "fixed interval" or "pro re nata" strategies. However, in routine clinical practice, "treat-and-extend" was reported for less than half of nAMD-diagnosed eyes. Top factors influencing physician choice of anti-VEGF agent and treatment strategy included maximizing clinical benefit (eg visual acuity gains and fluid control), patient convenience, and reducing out-of-pocket costs. However, physicians also reported facing substantial roadblocks in prescribing their choice of anti-VEGF agent, including restrictions on approved agents and gaps in insurance coverage. Persistent fluid was the most common physician-selected reason for switching a patient away from an anti-VEGF agent.

Conclusion

Physicians face barriers to prescribing their preferred anti-VEGF agents in real-world healthcare settings. Overcoming these challenges may improve treatment outcomes for patients with nAMD.

Genetic predisposition and antipsychotic treatment effect on metabolic syndrome in schizophrenia: a ten-year follow-up study using the Estonian Biobank

Background

Schizophrenia (SCZ) patients exhibit 30% higher prevalence of metabolic syndrome (MetS) compared to the general population with its suboptimal management contributing to increased mortality. Large-scale studies providing real-world evidence of the underlying causes remain limited.

Methods

To address this gap, we used real-world health data from the Estonian Biobank, spanning a median follow-up of ten years, to investigate the impact of genetic predisposition and antipsychotic treatment on the development of MetS in SCZ patients. Specifically, we set out to characterize antipsychotic treatment patterns, genetic predisposition of MetS traits, MetS prognosis, and body mass index (BMI) trajectories, comparing SCZ cases (n = 677) to age- and sex-matched controls (n = 2708).

Findings

SCZ cases exhibited higher genetic predisposition to SCZ (OR = 1.75, 95% CI 1.58-1.94), but lower polygenic burden for increased BMI (OR = 0.88, 95% CI 0.88-0.96) and C-reactive protein (OR = 0.88, 95% CI 0.81-0.97) compared to controls. While SCZ cases showed worse prognosis of MetS (HR 1.95, 95% CI 1.54-2.46), higher antipsychotic adherence within the first treatment year was associated with reduced long-term MetS incidence. Linear mixed modelling, incorporating multiple BMI timepoints, underscored the significant contribution of both, antipsychotic medication, and genetic predisposition to higher BMI, driving the substantially upward trajectory of BMI in SCZ cases.

Interpretation

These findings contribute to refining clinical risk prediction and prevention strategies for MetS among SCZ patients and emphasize the significance of incorporating genetic information, long-term patient tracking, and employing diverse perspectives when analyzing real-world health data.

Funding

EU Horizon 2020, Swedish Research Council, Estonian Research Council, Estonian Ministry of Education and Research, University of Tartu.

Real-world evidence: Long-term safety of deferiprone in a large cohort of patients with sickle cell disease enrolled in a registry for up to 10 years

Patients with sickle cell disease (SCD) and other anemias who receive blood transfusions are at risk of organ damage due to transfusional iron overload. Deferiprone is an iron chelator with a well-established safety and efficacy profile that is indicated for the treatment of transfusional iron overload. Here, we report safety data from the large-scale, retrospective Ferriprox® Total Care Registry, which involved all patients with SCD taking deferiprone following the 2011 approval of deferiprone in the United States through August 2020. A total of 634 patients who had initiated deferiprone treatment were included. The mean (SD) duration of deferiprone exposure in the registry was 1.6 (1.6) years (range 0 to 9.7 years). In the overall patient population (N = 634), 64.7% (n = 410) of patients reported a total of 1885 adverse events (AEs). In subgroup analyses, 54.6% (n = 71) of pediatric patients and 67.3% (n = 339) of adult patients reported AEs. The most common AEs reported in patients receiving deferiprone were sickle cell crisis (22.7%), nausea (12.1%), vomiting (8.7%), abdominal discomfort (5.4%), and fatigue (5.4%). Neutropenia was reported in four (0.6%) patients and severe neutropenia/agranulocytosis (defined as absolute neutrophil count <0.5 × 109/L) was reported in two (0.3%) patients. Of patients with evaluable data, all cases of neutropenia and severe neutropenia/agranulocytosis resolved with deferiprone discontinuation. Results from the nearly 10 years of real-world data collected in the Ferriprox® Total Care Registry demonstrate that deferiprone is safe and well tolerated in patients with SCD or other anemias who have transfusional iron overload.

Efficacy and safety of crizotinib in the treatment of advanced non-small cell lung cancer with ROS1 gene fusion: a systematic literature review and meta-analysis of real-world evidence

BACKGROUND

Crizotinib was approved to treat patients with advanced non-small cell lung cancer (aNSCLC) with ROS proto-oncogene 1 (ROS1) gene fusion in 2016. We conducted a systematic literature review to identify real-world evidence (RWE) studies and estimated the efficacy and safety of crizotinib using meta-analyses (MA) for objective response rate (ORR), real-world progression-free survival (PFS), and overall survival (OS).

METHODS

We searched MEDLINE®, Embase, and Cochrane CENTRAL from January 2016 to March 2023 using Ovid® for published single-arm or comparative RWE studies evaluating patients (N ≥ 20) receiving crizotinib monotherapy for aNSCLC with ROS1 gene fusion. Pooled estimates for ORR and grade 3/4 adverse events (AEs) were derived using the metafor package in R while pooled estimates for median real-world PFS (rwPFS) and OS were derived using reconstructed individual patient data from published Kaplan-Meier curves. The primary analysis included all studies regardless of crizotinib line of therapy; a subgroup analysis (SA) was conducted using studies evaluating patients receiving first-line crizotinib.

RESULTS

Fourteen studies met the eligibility criteria and were considered feasible for MA. For the primary analysis, the pooled ORR (N = 9 studies) was 70.6 % (95 % confidence interval [CI]: 57.0, 81.3), median rwPFS was 14.5 months (N = 11 studies), and OS was 40.2 months (N = 9 studies). In the SA, the pooled ORR (N = 4 studies) was 81.1 % (95 % CI: 76.1, 85.2) and the median rwPFS (N = 4 studies) and OS (N = 2 studies) were 18.1 and 60 months, respectively. All MAs were associated with significant heterogeneity (I2 > 25 %). Grade 3/4 AEs occurred in 18.7 % of patients (pooled estimate).

CONCLUSION

The results from this study are consistent with clinical trial data and, taken collectively, supports crizotinib as a safe and effective treatment across different lines of therapy in patients with ROS1 aNSCLC in the real-world setting.

Efficacy and Safety of adjunctive Perampanel in a prospective, real-world, Phase IV study in Indian patients aged ≥12 years for Treatment of focal-onset Epilepsy: Study 508

OBJECTIVE

ESPRITE (Study 508; NCT03836924) evaluated the real-world safety, tolerability, and efficacy of adjunctive perampanel in patients aged ≥12 years with focal-onset seizures (FOS), with or without focal to bilateral tonic-clonic seizures (FBTCS), in India.

METHODS

ESPRITE was a prospective, multicenter, single-arm, observational, Phase IV study with a 6-month Treatment Period. Patients were aged ≥12 years and had been prescribed perampanel for adjunctive treatment of FOS, with or without FBTCS. Assessments included incidence of treatment-emergent adverse events (TEAEs; primary endpoint), median percent reduction in seizure frequency per 28 days from baseline, 50% responder rates, and seizure-freedom rates.

RESULTS

Overall, 200 patients were enrolled (199 patients in the Safety Analysis Set and 174 patients who completed all visits in the main efficacy analyses). TEAEs (all mild or moderate in severity) were reported in 18.1% (n = 36/199) of patients (the most common were dizziness [3.0%] and irritability [2.0%]). TEAEs leading to discontinuation of perampanel were reported in 2.0% of patients; no deaths or serious TEAEs occurred. At 6 months, median percent reduction in seizure frequency was 100.0%, 50% responder rate was 83.3%, and seizure-freedom rate was 49.4%.

SIGNIFICANCE

Adjunctive perampanel (at a mean daily dose of 4 mg/day) was shown to be well tolerated and effective in patients aged ≥12 years with FOS, with or without FBTCS, from India.

PLAIN LANGUAGE SUMMARY

Many patients do not receive adequate treatment for epilepsy and need effective seizure control medications. In this 6-month clinical study, 199 patients from India, aged 12 years or older, added perampanel to the anti-seizure medications they were already taking. At 6 months, 49% of patients experienced no seizures since starting perampanel and seizure frequency was reduced by half in 83% of patients. Side effects occurred in 18% of patients (most commonly dizziness and irritability) and caused 2% to stop perampanel; no deaths were reported. Perampanel was an effective and generally safe added medication for patients with epilepsy from India.

PERPRISE: A prospective non-interventional study of PERampanel as only adjunctive treatment in patients with PRImary or SEcondarily generalized tonic-clonic seizures: First interim analysis

OBJECTIVE

To report the interim results of the PERPRISE study (Study 509; NCT04202159), which is evaluating perampanel as the only adjunctive anti-seizure medication (ASM) in adults with focal to bilateral tonic-clonic seizures (FBTCS) or primary generalized tonic-clonic seizures (GTCS).

METHODS

PERPRISE is an ongoing 12-month multicenter, prospective, observational, non-interventional study of perampanel in a real-world setting in Germany. Patients are aged ≥18 years with FBTCS or GTCS due to focal or idiopathic generalized epilepsy. Perampanel, as an adjunctive therapy to ASM monotherapy ('add-on therapy') or as a substitute for one ASM in dual therapy ('substitution therapy'), is prescribed in line with its SmPC. The Interim Analysis Set comprises the first 100 patients who received ≥1 dose of perampanel and attended or discontinued prior to the ~6-month visit. Interim endpoints include retention rate, measures of effects on seizure frequency, and treatment-emergent adverse events (TEAEs).

RESULTS

One hundred patients were included in the Interim Analysis Set (add-on, n = 43 [43.0%]; substitution, n = 55 [55.0%]; unknown, n = 2). The 6-month retention rate was 78.0% (add-on, 83.7%; substitution, 72.7%). For the overall population with GTCS and/or FBTCS, seizure-freedom rate at 6 months was 58.8% (add-on, 72.2%; substitution, 47.9%) and 50% responder rate at 6 months was 82.6% (add-on, 89.2%; substitution, 76.6%). Retention rates and seizure outcomes were better with perampanel as an early-line treatment than as a late-line treatment. TEAEs were reported by 48 patients (48.0%), most commonly dizziness (n = 9), fatigue (n = 7), and irritability (n = 7). Sixteen patients (16.0%) withdrew from perampanel treatment due to TEAEs.

SIGNIFICANCE

The interim analysis of PERPRISE offers insight into the real-world use of perampanel in Germany, including for the first time, clinical practice data from patients with GTCS and switching ASMs within a dual therapy. Further data from PERPRISE will be of value to inform clinical decision-making in this patient cohort.

PLAIN LANGUAGE SUMMARY

Patients with epilepsy often take more than one medication for seizure control. This 12month study looked at patients in Germany receiving perampanel as only add-on medication. The interim analysis shows, that at 6 months, over 70% of the 100 patients continued to use perampanel; 59% experienced no seizures during treatment with perampanel, and in 83%, seizure frequency was reduced by half. Side effects occurred in 48% of patients (most commonly dizziness, fatigue, and irritability) and caused 16% to withdraw from the study. Overall, perampanel was a suitable as only add-on medication for patients with epilepsy.

Maximizing the Value of Real-World Data and Real-World Evidence to Accelerate Healthcare Transformation in China: Summary of External Advisory Committee Meetings

Use of real-world data (RWD) is gaining wide attention. To bridge the gap between diverse healthcare stakeholders and to leverage the impact of Chinese real-world evidence (RWE) globally, a multi-stakeholder External Advisory Committee (EAC) and EAC meetings were initiated, aiming to elucidate the current and evolving RWD landscape in China, articulate the values of RWE in ensuring Chinese patients' equitable access to affordable medicines and solutions, and identify strategic opportunities and partnerships for expansion of RWE generation in China. Chinese and international experts who are clinicians and academic researchers were selected as EAC members based on their professional background and familiarity with RWD/RWE. Three EAC meetings were held quarterly in 2023. Various topics were presented and discussed for insights and suggestions. Nine experts from China, one from South Korea, and two from Europe were selected as EAC members and attended these meetings. Experts' presentations were summarized by theme, including the RWD landscape and RWE enablement in China, as well as global development of a patient-centric ecosystem. Experts' insights and suggestions on maximizing the RWD/RWE value to accelerate healthcare transformation in China were collected. We concluded that though data access, sharing, and quality are still challenging, RWD is developing to support evidence generation in the medicinal product lifecycle, inform clinical practice, and empower patient management in China. RWD/RWE creates value, accelerates healthcare transformation, and improves patient outcomes. Fostering a patient-centric ecosystem across healthcare stakeholders and maintaining global partnerships and collaboration are essential for unlocking the power of RWD/RWE.

Application of causal inference methods in individual-participant data meta-analyses in medicine: addressing data handling and reporting gaps with new proposed reporting guidelines

Observational data provide invaluable real-world information in medicine, but certain methodological considerations are required to derive causal estimates. In this systematic review, we evaluated the methodology and reporting quality of individual-level patient data meta-analyses (IPD-MAs) conducted with non-randomized exposures, published in 2009, 2014, and 2019 that sought to estimate a causal relationship in medicine. We screened over 16,000 titles and abstracts, reviewed 45 full-text articles out of the 167 deemed potentially eligible, and included 29 into the analysis. Unfortunately, we found that causal methodologies were rarely implemented, and reporting was generally poor across studies. Specifically, only three of the 29 articles used quasi-experimental methods, and no study used G-methods to adjust for time-varying confounding. To address these issues, we propose stronger collaborations between physicians and methodologists to ensure that causal methodologies are properly implemented in IPD-MAs. In addition, we put forward a suggested checklist of reporting guidelines for IPD-MAs that utilize causal methods. This checklist could improve reporting thereby potentially enhancing the quality and trustworthiness of IPD-MAs, which can be considered one of the most valuable sources of evidence for health policy.

Patient-reported experience with Fabry disease and its management in the real-world setting: results from a double-blind, cross-sectional survey of 280 respondents

BACKGROUND

Fabry disease (FD) is a rare X-linked lysosomal storage disorder with a heterogeneous clinical presentation. Patients with FD may exhibit early signs/symptoms including neuropathic pain, gastrointestinal complaints, and dermatologic manifestations. FD may ultimately progress to renal, neurologic, and cardiac dysfunction. Current treatments for FD have significantly improved the management and outcomes for patients with FD, but important clinical and convenience limitations still exist.

METHODS

To illuminate the impact of FD on daily life from the patient's perspective, we asked adult patients (≥ 18 years old) with FD in the United States and Canada to complete a 33-question online survey to assess patient-reported disease severity, management, and treatment outcomes.

RESULTS

A total of 280 respondents with FD completed the survey; they had a mean age of 47 years, and 68% (191/280) were women. Most were currently receiving FD treatment (84%, 234/280) with enzyme replacement therapy (ERT) (89%, 208/234) or chaperone therapy (11%, 26/234). Common symptoms included low energy/fatigue (72%, 201/280), tingling (62%, 174/280) or pain in the hands/feet (60%, 168/280), ringing in ears/hearing loss (54%, 151/280), general body pains/pain crises (51%, 143/280), and abdominal/stomach pain (50%, 140/280). More than half (51%, 144/280) of respondents reported their symptoms as bothersome (38%, 106/280) or difficult to control (14%, 38/280). Temporary symptom worsening between infusions was reported by about half of respondents: 51% (108/211) currently receiving ERT and 48% (14/29) previously receiving ERT. Only 48% (59/122) of respondents reported their symptom worsening to their physician. Of those who reported it, 41% (24/59) said that their physician prescribed medication to manage their symptoms or changed their treatment regimen.

CONCLUSIONS

Our analysis highlights the gap between current standard-of-care in disease monitoring and patient perception of disease progression among patients with FD. This information may be helpful for healthcare providers and drug developers seeking to improve the care of patients with FD by addressing unmet needs of high relevance.

The Critical Intersect of Regulations, Health Technology Assessment, and Drug Safety Assessments

Health technology assessment (HTA) is a multidisciplinary process that determines the value of health technology at different points in its lifecycle. Safety issues have become more important since regulatory authorities are increasingly adopting flexible standards, processes, and evidentiary requirements for drug approval. In this article, we compared the different role of regulatory authorities and HTA agencies. Additionally, the experience of regulatory-HTA collaboration for assessment and/or decision-making on safety issues in the lifecycle of a health technology is illustrated, including olmesartan (angiotensin II receptor antagonist) and the direct-acting hepatitis C virus (HCV) antiviral agents. Post-licensing data can be derived from various sources such as electronic health records, medical claims, drug and disease registries, post-authorization safety studies (PASS) or post-authorization safety efficacy studies (PAES), periodic benefit-risk assessment reports, as well as HTA reassessment reports, which incorporate utilization information from patients in a real-world setting and provide crucial evidence for various purposes. With the ongoing accumulation of safety and efficacy information during post-regulatory approval, a standardized process for continuous data collection and active reassessment of risk and benefit becomes crucial for managing the lifecycle of health technologies. In order to define evidence requirements clearly, reduce uncertainty, and minimize delays in HTA approval, early engagement and collaboration of HTA agencies in the regulatory review processes have become more common. However, there is currently limited interaction and collaboration between regulatory authorities and HTA agencies. This article aims to identify the challenges faced by regulators and HTA agencies today, emphasizing the significance of conducting regulatory reviews and health technology assessments throughout a technology's lifecycle, underlining the value of utilizing real-world data and evidence, and emphasizing the necessity of enhancing collaboration between regulatory authorities and HTA agencies, all within the overarching context of drug safety.

Stepwise prolongation of overall survival from first to third generation EGFR-TKIs for EGFR mutation-positive non-small-cell lung cancer: the Tokushukai REAl-world Data project (TREAD 01)

OBJECTIVE

The introduction of new-generation epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) has afforded promising overall survival outcomes in clinical trials for non-small-cell lung cancer. We aim to investigate the current adoption rate of these agents and the real-world impact on overall survival among institutions.

METHODS

In a nationwide retrospective cohort study of 46 Tokushukai Medical Group hospitals in Japan, we analyzed clinical data of consecutive patients with non-small-cell lung cancer receiving EGFR-TKIs between April 2010 and March 2020. Univariate and multivariate Cox regression analyses examined the associations between overall survival and patient/tumor-related factors and first-line EGFR-TKIs.

RESULTS

A total of 758 patients (58.5% females; median age, 73 years) were included. Of 40 patients diagnosed in 2010, 72.5% received gefitinib, whereas 81.3% of 107 patients diagnosed in 2019 received osimertinib as the first-line EGFR-TKI. With a median follow-up of 15.8 months, the median overall survival was 28.4 months (95% confidence interval, 15.3-31.0). In a multivariate Cox regression analysis, age, body mass index, disease status, EGFR mutational status and first-line epidermal growth factor receptor tyrosine kinase inhibitor were identified as significant prognostic factors after adjusting for background factors including study period, hospital volume and hospital type. The estimated 2-year overall survival rates for gefitinib, erlotinib, afatinib and osimertinib were 70.1% (95% confidence interval 59.7-82.4), 67.8% (95% confidence interval 55.3-83.2), 75.5% (95% confidence interval 64.7-88.0) and 90.8% (95% confidence interval 84.8-97.3), respectively. The median time to treatment failure of gefitinib, erlotinib, afatinib and osimertinib were 12.8, 8.8, 12.0 and 16.9 months or more, respectively.

CONCLUSIONS

Our real-world data revealed that the swift and widespread utilization of newer-generation EGFR-TKIs in patients with EGFR mutation-positive non-small-cell lung cancer, and that these newer-generation EGFR-TKIs can prolong overall survival regardless of hospital volume or type. Therefore, osimertinib could be a reasonable first choice treatment for these patients across various clinical practice settings.

Evaluating the effect of inequalities in oral anti-coagulant prescribing on outcomes in people with atrial fibrillation

Aims

Whilst anti-coagulation is typically recommended for thromboprophylaxis in atrial fibrillation (AF), it is often never prescribed or prematurely discontinued. The aim of this study was to evaluate the effect of inequalities in anti-coagulant prescribing by assessing stroke/systemic embolism (SSE) and bleeding risk in people with AF who continue anti-coagulation compared with those who stop transiently, permanently, or never start.

Methods and results

This retrospective cohort study utilized linked Scottish healthcare data to identify adults diagnosed with AF between January 2010 and April 2016, with a CHA2DS2-VASC score of ≥2. They were sub-categorized based on anti-coagulant exposure: never started, continuous, discontinuous, and cessation. Inverse probability of treatment weighting-adjusted Cox regression and competing risk regression was utilized to compare SSE and bleeding risks between cohorts during 5-year follow-up. Of an overall cohort of 47 427 people, 26 277 (55.41%) were never anti-coagulated, 7934 (16.72%) received continuous anti-coagulation, 9107 (19.2%) temporarily discontinued, and 4109 (8.66%) permanently discontinued. Lower socio-economic status, elevated frailty score, and age ≥ 75 were associated with a reduced likelihood of initiation and continuation of anti-coagulation. Stroke/systemic embolism risk was significantly greater in those with discontinuous anti-coagulation, compared with continuous [subhazard ratio (SHR): 2.65; 2.39-2.94]. In the context of a major bleeding event, there was no significant difference in bleeding risk between the cessation and continuous cohorts (SHR 0.94; 0.42-2.14).

Conclusion

Our data suggest significant inequalities in anti-coagulation prescribing, with substantial opportunity to improve initiation and continuation. Decision-making should be patient-centred and must recognize that discontinuation or cessation is associated with considerable thromboembolic risk not offset by mitigated bleeding risk.

Use of Novel National Data Sets to Monitor Chemotherapy Use and Outcomes: A Retrospective Cohort Study of Non-Small-Cell Lung Cancer in Aotearoa New Zealand

PURPOSE

Te Aho o Te Kahu, the New Zealand Cancer Control Agency, is establishing a systemic anticancer therapy (SACT) database (Anti-Cancer Therapy-Nationally Organized Workstream [ACT-NOW]) which can be linked to other national health data collections. In this article, we explore the application of ACT-NOW data in the monitoring of uptake and outcomes after the public funding of pemetrexed in Aotearoa New Zealand.

METHODS

We used the ACT-NOW collection to identify patients with advanced nonsquamous non-small-cell lung cancer, who were treated with first-line platinum-based doublet chemotherapy over an 8-year period. Data were extracted for a period of 4 years before and 4 years after the national funding of pemetrexed (November 1, 2017). Treatments were classified as historical platinum doublet (cisplatin or carboplatin with gemcitabine, vinorelbine, paclitaxel, or docetaxel) or platinum pemetrexed doublet (cisplatin or carboplatin with pemetrexed). The primary outcome was the proportion of patients receiving each treatment type, before and after November 1, 2017. To prototype linkage to outcomes data, we evaluated hospitalization and 1-year overall survival (OS) rates by treatment.

RESULTS

A total of 331 patients were included from four cancer centers. All patients (116 of 116) who were treated with first-line platinum-based doublet chemotherapy between November 2013 and November 2017 received historical platinum doublet chemotherapy. After the introduction of pemetrexed, between November 2017 and November 2021, 94% (203 of 215) were treated with platinum pemetrexed doublet chemotherapy and 6% (12 of 215) with historical platinum doublet chemotherapy. Linkage to outcomes data for 1-year OS, hospitalization rates, and lengths of stay outcome data were achievable.

CONCLUSION

The ACT-NOW data set has the potential to facilitate evaluation of the impact of national-level SACT funding decisions on prescribing practice and specific patient outcomes. Our results support the use of these data to inform resource planning and quality improvement.

Tools for assessing quality of studies investigating health interventions using real-world data: a literature review and content analysis

OBJECTIVES

We aimed to identify existing appraisal tools for non-randomised studies of interventions (NRSIs) and to compare the criteria that the tools provide at the quality-item level.

DESIGN

Literature review through three approaches: systematic search of journal articles, snowballing search of reviews on appraisal tools and grey literature search on websites of health technology assessment (HTA) agencies.

DATA SOURCES

Systematic search: Medline; Snowballing: starting from three articles (D'Andrea et al, Quigley et al and Faria et al); Grey literature: websites of European HTA agencies listed by the International Network of Agencies for Health Technology Assessment. Appraisal tools were searched through April 2022.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

We included a tool, if it addressed quality concerns of NRSIs and was published in English (unless from grey literature). A tool was excluded, if it was only for diagnostic, prognostic, qualitative or secondary studies.

DATA EXTRACTION AND SYNTHESIS

Two independent researchers searched, screened and reviewed all included studies and tools, summarised quality items and scored whether and to what extent a quality item was described by a tool, for either methodological quality or reporting.

RESULTS

Forty-nine tools met inclusion criteria and were included for the content analysis. Concerns regarding the quality of NRSI were categorised into 4 domains and 26 items. The Research Triangle Institute Item Bank (RTI Item Bank) and STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) were the most comprehensive tools for methodological quality and reporting, respectively, as they addressed (n=20; 17) and sufficiently described (n=18; 13) the highest number of items. However, none of the tools covered all items.

CONCLUSION

Most of the tools have their own strengths, but none of them could address all quality concerns relevant to NRSIs. Even the most comprehensive tools can be complemented by several items. We suggest decision-makers, researchers and tool developers consider the quality-item level heterogeneity, when selecting a tool or identifying a research gap.

OSF REGISTRATION NUMBER

OSF registration DOI (https://doi.org/10.17605/OSF.IO/KCSGX).

Real-life study to assess effectiveness and safety of eculizumab in patients with neuromyelitis optica spectrum disorders in France: protocol for ECUP4, an observational study

Background

Eculizumab, a humanized monoclonal antibody targeting the C5 complement protein, has been approved for the treatment of neuromyelitis optica spectrum disorders (NMOSD) in adult patients who are anti-aquaporin-4 (AQP4) antibody positive (Ab+). The aim of this study is to evaluate the long-term effectiveness and safety of eculizumab in French adults with NMOSD and to describe patients' characteristics, disability, and quality of life using data collected in a real-world setting.

Methods

This is the protocol for ECUP4, an ongoing prospective, observational, non-comparative, multicenter study conducted in 32 reference centers in France. Eligible patients must also be enrolled in NOMADMUS, a nested cohort of the French national multiple sclerosis registry (OFSEP). The primary endpoint is the annualized relapse rate. Secondary endpoints include the long-term safety of eculizumab, as well as patients' characteristics, treatment outcomes, disability, pain, visual acuity, and quality of life. Visits and treatments follow routine clinical practice. The case report forms (CRF) comprise data recorded in the context of the NOMADMUS cohort, collected during routine visits. The inclusion period is planned for 3 years, with no limitation on the number of patients enrolled. The maximum follow-up duration will be 5.5 years.

Conclusion

The efficacy and safety of eculizumab in patients with AQP4+ NMOSD have been demonstrated in randomized clinical trials that showed a significant reduction in the risk of relapse, with a safety profile consistent with other indications. This study will provide clinical and patient-reported evidence of the benefits of eculizumab, using data from a real-world setting in France.

Trial registration number

This study is registered at the French public repertory Health data Hub, N° F20211228123801. All information can be accessed at: https://www.health-data-hub.fr/.

Real-world treatment outcomes of metastatic biliary tract cancer patients in Japan: the Tokushukai REAl-world data project 04 (TREAD 04)

OBJECTIVES

To investigate temporal trends in treatment patterns and prognostic factors for overall survival in patients with metastatic biliary tract cancer.

METHODS

From the Tokushukai REAl-world Data project, we identified 945 patients with metastatic biliary tract cancer treated with gemcitabine, tegafur/gimeracil/oteracil, gemcitabine plus cisplatin, gemcitabine plus tegafur/gimeracil/oteracil or gemcitabine plus cisplatin and tegafur/gimeracil/oteracil between April 2010 and March 2022. Stratified/conventional Cox regression analyses were conducted to examine the association between overall survival and patient- and tumour-related factors, study period, hospital volume, hospital type and first-line chemotherapy regimen. Using inverse probability of treatment weighting with propensity scores, overall survival was also compared between monotherapy and combination therapy groups.

RESULTS

We enrolled 366 patients (199 men; median age, 72 years). Over a median follow-up of 5.2 months, the median overall survival was 7.0 months (95% confidence interval 6.2-9.0), and the median time to treatment failure was 3.5 months (95% confidence interval 3.1-4.5). Median overall survival and time to treatment failure for gemcitabine/tegafur-gimeracil-oteracil/gemcitabine plus cisplatin/gemcitabine plus tegafur-gimeracil-oteracil/gemcitabine plus cisplatin and tegafur-gimeracil-oteracil regimen were 6.2/6.6/7.9/16.2/15.1 and 2.8/3.4/4.1/15.3/7.4 months, respectively. Primary disease site, previous surgery, previous endoscopic procedures and hospital type were identified as significant prognostic factors. Inverse probability of treatment weighting analysis demonstrated that combination therapy had a significantly better prognosis than monotherapy (hazard ratio 0.61, 95% confidence interval 0.43-0.88, P = 0.006).

CONCLUSIONS

Our real-world data analysis showed that standard care for metastatic biliary tract cancer is widely used in hospitals throughout Japan and verified the survival benefits of combination therapy over monotherapy observed in prior clinical trials.

CLINICAL TRIAL NUMBER

UMIN000050590 (http://www.umin.ac.jp/ctr/index.htm).

Extrafine single inhaler triple therapy effectiveness in COPD patients previously treated with multiple-inhaler triple therapy: the TRIWIN study

BACKGROUND

The extrafine single inhaler triple therapy (efSITT) containing beclomethasone dipropionate/formoterol fumarate/glycopyrronium 87/5/9 μg has proved to be efficacious in patients with chronic obstructive pulmonary disease (COPD) in randomized control trials.

OBJECTIVE

TRIWIN study evaluated the effectiveness of efSITT delivering beclomethasone dipropionate/formoterol fumarate/glycopyrronium 87/5/9 μg in COPD patients previously treated with multiple-inhaler triple therapy (MITT) in a real-world study in Greece.

DESIGN

Prospective, multicenter, observational, non-interventional study was conducted over 24 weeks.

METHODS

A total of 475 eligible patients had moderate-to-severe COPD, an indication for treatment with efSITT, and were symptomatic despite receiving MITT. COPD Assessment Test (CAT) score, pulmonary function parameters, use of rescue medication, and adherence to inhaler use were recorded at baseline (Visit 1), 3 (Visit 2), and 6 months (Visit 3) after treatment.

RESULTS

Mean CAT score decreased from 21.4 points at Visit 1, to 16.6 at Visit 2 and 15.1 at Visit 3 (p < 0.001 for all pair comparisons). At Visit 3, 79.8% of patients reached a CAT improvement exceeding minimal clinically important difference (⩾2), compared to baseline. Mean forced expiratory volume in 1 s (%pred.) increased from 55.4% at Visit 1 to 63.5% at the end of study period (p < 0.001), while mean forced vital capacity (%pred.) increased from 71.1% at Visit 1, to 76.7% at Visit 3 (p < 0.001). The mean Test of Adherence to Inhalers score increased from 42.5 to 45.3 and 46.3 points, for the three visits, respectively (p < 0.001 comparing Visits 1/2 and Visits 1/3; p = 0.006 comparing Visits 2/3). The percentage of patients showing good adherence rose from 33.7% at baseline to 58.3% at Visit 3. The percentage of patients using rescue medication during the last month dropped from 16.2% to 7.4% at the end of study period (p < 0.001). Pulmonary function parameters also improved.

CONCLUSION

The TRIWIN results suggest that extrafine beclomethasone dipropionate/formoterol fumarate/glycopyrronium is effective in improving health status, pulmonary function, and adherence and in reducing rescue medication use in COPD patients previously treated with MITT, in a real-world setting in Greece.

Overview of global real-world data sources for pediatric pharmacoepidemiologic research

PURPOSE

Given limited information available on real-world data (RWD) sources with pediatric populations, this study describes features of globally available RWD sources for pediatric pharmacoepidemiologic research.

METHODS

An online questionnaire about pediatric RWD sources and their attributes and capabilities was completed by members and affiliates of the International Society for Pharmacoepidemiology and representatives of nominated databases. All responses were verified by database representatives and summarized.

RESULTS

Of 93 RWD sources identified, 55 unique pediatric RWD sources were verified, including data from Europe (47%), United States (38%), multiregion (7%), Asia-Pacific (5%), and South America (2%). Most databases had nationwide coverage (82%), contained electronic health/medical records (47%) and/or administrative claims data (42%) and were linkable to other databases (65%). Most (71%) had limited outside access (e.g., by approval or through local collaborators); only 10 (18%) databases were publicly available. Six databases (11%) reported having >20 million pediatric observations. Most (91%) included children of all ages (birth until 18th birthday) and contained outpatient medication data (93%), while half (49%) contained inpatient medication data. Many databases captured vaccine information for children (71%), and one-third had regularly updated data on pediatric height (31%) and weight (33%). Other pediatric data attributes captured include diagnoses and comorbidities (89%), lab results (58%), vital signs (55%), devices (55%), imaging results (42%), narrative patient histories (35%), and genetic/biomarker data (22%).

CONCLUSIONS

This study provides an overview with key details about diverse databases that allow researchers to identify fit-for-purpose RWD sources suitable for pediatric pharmacoepidemiologic research.

Recent advancement in integrating artificial intelligence and information technology with real-world data for clinical decision-making in China: A scoping review

OBJECTIVE

Striking innovations and advancements have been achieved with the use of artificial intelligence and healthcare information technology being integrated into clinical real-world data. The current scoping review aimed to provide an overview of the current status of artificial intelligence-/information technology-based clinical decision support tools in China.

METHODS

PubMed/MEDLINE, Embase, China National Knowledge Internet, and Wanfang data were searched for both English and Chinese literature. The gray literature search was conducted for commercially available tools. Original studies that focused on clinical decision support tools driven by artificial intelligence or information technology in China and were published between 2010 and February 2022 were included. Information extracted from each article was further synthesized by themes based on three types of clinical decision-making.

RESULTS

A total of 37 peer-reviewed publications and 13 commercially available tools were included in the final analysis. Among them, 32.0% were developed for disease diagnosis, 54.0% for risk prediction and classification, and 14.0% for disease management. Chronic diseases were the most popular therapeutic areas of exploration, with particular emphasis on cardiovascular and cerebrovascular diseases. Single-center electronic medical records were the mainstream data sources leveraged to inform clinical decision-making, with internal validation being predominately used for model evaluation.

CONCLUSIONS

To effectively promote the extensive use of real-world data and drive a paradigm shift in clinical decision-making in China, multidisciplinary collaboration of key stakeholders is urgently needed.

Real‑world treatment outcomes among patients with metastatic pancreatic cancer in Japan: The Tokushukai real‑world data project

The present study aimed to investigate temporal trends in treatment patterns and prognostic factors for overall survival (OS) among patients with metastatic pancreatic cancer. From the Tokushukai REAl-world Data project, 1,093 patients with metastatic pancreatic cancer treated with gemcitabine, tegafur/gimeracil/oteracil (S-1), gemcitabine plus S-1, gemcitabine plus nab-paclitaxel, or fluorouracil, folic acid, oxaliplatin and irinotecan (FOLFIRINOX) between April 2010 and March 2020 were identified. Stratified/conventional Cox regression analyses were conducted to examine associations between patient- and tumor-related factors, study period, hospital volume, hospital type and first-line chemotherapy regimens. Overall, 846 patients were selected (503 male patients; median age, 70 years) after excluding ineligible patients. Over a median follow-up of 5.4 months, the median OS was 6.8 months (95% confidence interval, 6.3-7.4). The median OS for gemcitabine, S-1, gemcitabine plus S-1, gemcitabine plus nab-paclitaxel and FOLFIRINOX regimens was 5.9, 5.3, 7.7, 9.0 and 9.5 months, respectively. The median OS for 2010-2013, 2014-2017 and 2017-2020 was 6.2, 7.1 and 7.8 months, respectively. Performance status, body mass index and first-line chemotherapy regimens were identified to be significant prognostic factors. In summary, the real-world data indicated that standard care, including chemotherapy, for metastatic pancreatic cancer was widely used in hospitals throughout Japan and verified the survival benefits of gemcitabine plus nab-paclitaxel and FOLFIRINOX observed in prior clinical trials. This trial has been registered in the University Hospital Medical Information Network Clinical Trials Registry as UMIN000050590 on April 1, 2023.

The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research

BACKGROUND

Investigating low-prevalence diseases such as multiple sclerosis is challenging because of the rather small number of individuals affected by this disease and the scattering of real-world data across numerous data sources. These obstacles impair data integration, standardization, and analysis, which negatively impact the generation of significant meaningful clinical evidence.

OBJECTIVE

This study aims to present a comprehensive, research question-agnostic, multistakeholder-driven end-to-end data analysis pipeline that accommodates 3 prevalent data-sharing streams: individual data sharing, core data set sharing, and federated model sharing.

METHODS

A demand-driven methodology is employed for standardization, followed by 3 streams of data acquisition, a data quality enhancement process, a data integration procedure, and a concluding analysis stage to fulfill real-world data-sharing requirements. This pipeline's effectiveness was demonstrated through its successful implementation in the COVID-19 and multiple sclerosis global data sharing initiative.

RESULTS

The global data sharing initiative yielded multiple scientific publications and provided extensive worldwide guidance for the community with multiple sclerosis. The pipeline facilitated gathering pertinent data from various sources, accommodating distinct sharing streams and assimilating them into a unified data set for subsequent statistical analysis or secure data examination. This pipeline contributed to the assembly of the largest data set of people with multiple sclerosis infected with COVID-19.

CONCLUSIONS

The proposed data analysis pipeline exemplifies the potential of global stakeholder collaboration and underlines the significance of evidence-based decision-making. It serves as a paradigm for how data sharing initiatives can propel advancements in health care, emphasizing its adaptability and capacity to address diverse research inquiries.

Guideline Development for Medical Device Technology: Issues for Consideration

Advances in the development of innovative medical devices and telehealth technologies create the potential to improve the quality and efficiency of diabetes care through collecting, aggregating, and interpreting relevant health data in ways that facilitate more informed decisions among all stakeholder groups. Although many medical societies publish guidelines for utilizing these technologies in clinical practice, we believe that the methodologies used for the selection and grading of the evidence should be revised. In this article, we discuss the strengths and limitations of the various types of research commonly used for evidence selection and grading and present recommendations for modifying the process to more effectively address the rapid pace of device and technology innovation and new product development.

From randomised controlled trials to real-world data: Clinical evidence to guide management of diabetic macular oedema

Randomised clinical trials (RCTs) are generally considered the gold-standard for providing scientific evidence for treatments' effectiveness and safety but their findings may not always be generalisable to the broader population treated in routine clinical practice. RCTs include highly selected patient populations that fit specific inclusion and exclusion criteria. Although they may have a lower level of certainty than RCTs on the evidence hierarchy, real-world data (RWD), such as observational studies, registries and databases, provide real-world evidence (RWE) that can complement RCTs. For example, RWE may help satisfy requirements for a new indication of an already approved drug and help us better understand long-term treatment effectiveness, safety and patterns of use in clinical practice. Many countries have set up registries, observational studies and databases containing information on patients with retinal diseases, such as diabetic macular oedema (DMO). These DMO RWD have produced significant clinical evidence in the past decade that has changed the management of DMO. RWD and medico-administrative databases are a useful resource to identify low frequency safety signals. They often have long-term follow-up with a large number of patients and minimal exclusion criteria. We will discuss improvements in healthcare information exchange technologies, such as blockchain technology and FHIR (Fast Healthcare Interoperability Resources), which will connect and extend databases already available. These registries can be linked with existing or emerging retinal imaging modalities using artificial intelligence to aid diagnosis, treatment decisions and provide prognostic information. The results of RCTs and RWE are combined to provide evidence-based guidelines.

Supporting translation of research evidence into practice-the use of Normalisation Process Theory to assess and inform implementation within randomised controlled trials: a systematic review

BACKGROUND

The status of randomised controlled trials (RCTs) as the 'gold standard' for evaluating efficacy in healthcare interventions is increasingly debated among the research community, due to often insufficient consideration for implementation. Normalisation Process Theory (NPT), which focuses on the work required to embed processes into practice, offers a potentially useful framework for addressing these concerns. While the theory has been deployed in numerous RCTs to date, more work is needed to consolidate understanding of if, and how, NPT may aid implementation planning and processes within RCTs. Therefore, this review seeks to understand how NPT contributes to understanding the dynamics of implementation processes within RCTs. Specifically, this review will identify and characterise NPT operationalisation, benefits and reported challenges and limitations in RCTs.

METHODS

A qualitative systematic review with narrative synthesis of peer-reviewed journal articles from eight databases was conducted. Studies were eligible for inclusion if they reported sufficient detail on the use of NPT within RCTs in a healthcare domain. A pre-specified data extraction template was developed based on the research questions of this review. A narrative synthesis was performed to identify recurrent findings.

RESULTS

Searches identified 48 articles reporting 42 studies eligible for inclusion. Findings suggest that NPT is primarily operationalised prospectively during the data collection stage, with limited sub-construct utilisation overall. NPT is beneficial in understanding implementation processes by aiding the identification and analysis of key factors, such as understanding intervention fidelity in real-world settings. Nearly three-quarters of studies failed to report the challenges and limitations of utilising NPT, though coding difficulties and data falling outside the NPT framework are most common.

CONCLUSIONS

NPT appears to be a consistent and generalisable framework for explaining the dynamics of implementation processes within RCTs. However, operationalisation of the theory to its full extent is necessary to improve its use in practice, as it is currently deployed in varying capacities. Recommendations for future research include investigation of NPT alongside other frameworks, as well as earlier operationalisation and greater use of NPT sub-constructs.

TRIAL REGISTRATION

The protocol for this systematic review was accepted for public registration on PROSPERO (registration number: CRD42022345427) on 26 July 2022.

Real-world treatment patterns of rheumatoid arthritis in Brazil: analysis of DATASUS national administrative claims data for pharmacoepidemiology studies (2010-2020)

Our study assessed DATASUS as a potential source for pharmacoepidemiologic studies in rheumatoid arthritis (RA) in the Brazilian population focusing on treatment patterns and determinants of initiating or switching to a novel therapy. This was a descriptive database study of RA patients with at least one claim of RA and ≥ 2 claims of disease-modifying anti-rheumatic drug (DMARD); conventional synthetic (cs), biologic (b) or targeted synthetic (ts) DMARD with more than 6 months of follow-up from 01-Jan-2010 to 31-Dec-2020. Analyses were stratified for SUS-exclusive and SUS+ private user cohorts. We identified 250,251 patients with RA in DATASUS: mean age of 58.4 years, majority female (83%) and white (58%). 62% were SUS-exclusive and 38% SUS+ private. Most common bDMARDs were adalimumab and etanercept. Age (adjusted odds ratio 1.78 [50+]; 95% CI 1.57-2.01), SUS exclusive status (0.53; 0.47-0.59), distance to clinic [160+ km] (0.57; 0.45-0.72), and pre-index csDMARD claims (1.23; 1.08-1.41) were independent predictors of initiating a novel oral tsDMARD. Switching from bDMARD to tsDMARD, associations were similar, except for the direction of associations for SUS exclusive status (adjusted hazard ratio 1.10; 1.03-1.18), distance to clinic (1.18; 1.03-1.35), and number of previous bDMARD (0.15; 0.14-0.16). DATASUS is a source suitable for treatment-related analyses in RA reflecting the public health system in Brazil.

Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network

BACKGROUND

Important clinical information of patients is present in unstructured free-text fields of Electronic Health Records (EHRs). While this information can be extracted using clinical Natural Language Processing (cNLP), the recognition of negation modifiers represents an important challenge. A wide range of cNLP applications have been developed to detect the negation of medical entities in clinical free-text, however, effective solutions for languages other than English are scarce. This study aimed at developing a solution for negation recognition in Spanish EHRs based on a combination of a customized rule-based NegEx layer and a convolutional neural network (CNN).

METHODS

Based on our previous experience in real world evidence (RWE) studies using information embedded in EHRs, negation recognition was simplified into a binary problem ('affirmative' vs. 'non-affirmative' class). For the NegEx layer, negation rules were obtained from a publicly available Spanish corpus and enriched with custom ones, whereby the CNN binary classifier was trained on EHRs annotated for clinical named entities (cNEs) and negation markers by medical doctors.

RESULTS

The proposed negation recognition pipeline obtained precision, recall, and F1-score of 0.93, 0.94, and 0.94 for the 'affirmative' class, and 0.86, 0.84, and 0.85 for the 'non-affirmative' class, respectively. To validate the generalization capabilities of our methodology, we applied the negation recognition pipeline on EHRs (6,710 cNEs) from a different data source distribution than the training corpus and obtained consistent performance metrics for the 'affirmative' and 'non-affirmative' class (0.95, 0.97, and 0.96; and 0.90, 0.83, and 0.86 for precision, recall, and F1-score, respectively). Lastly, we evaluated the pipeline against two publicly available Spanish negation corpora, the IULA and NUBes, obtaining state-of-the-art metrics (1.00, 0.99, and 0.99; and 1.00, 0.93, and 0.96 for precision, recall, and F1-score, respectively).

CONCLUSION

Negation recognition is a source of low precision in the retrieval of cNEs from EHRs' free-text. Combining a customized rule-based NegEx layer with a CNN binary classifier outperformed many other current approaches. RWE studies highly benefit from the correct recognition of negation as it reduces false positive detections of cNE which otherwise would undoubtedly reduce the credibility of cNLP systems.

Efficacy of immune checkpoint inhibitor therapy for advanced urothelial carcinoma in real-life clinical practice: results of a multicentric, retrospective study

Clinical trials revealed significant antitumor activity for immune checkpoint inhibitors (ICI) in metastatic urothelial carcinoma (mUC). Due to their strict eligibility criteria, clinical trials include selected patient cohorts, and thus do not necessarily represent real-world population outcomes. In this multicentric, retrospective study, we investigated real-world data to assess the effectiveness of pembrolizumab and atezolizumab and to evaluate the prognostic value of routinely available clinicopathological and laboratory parameters. Clinical and follow-up data from mUC patients who received ICIs (01/2017-12/2021) were evaluated. Overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), and duration of response (DOR) were used as endpoints. Patients' (n = 210, n = 76 atezolizumab and 134 pembrolizumab) median OS and PFS were 13.6 and 5.9 months, respectively. Impaired ECOG-PS, the presence of visceral, liver or bone metastases, and hemoglobin levels were independently associated with poor OS and DCR. Furthermore, Bellmunt risk factors and the enhanced Bellmunt-CRP score were shown to be prognostic for OS, PFS and DCR. In conclusion, ICIs are effective treatments for a broad range of mUC patients. Our results confirmed the prognostic value of numerous risk factors and showed that Bellmunt risk scores can further be improved when adding CRP to the model.

Real-world evidence to advance knowledge in pulmonary hypertension: Status, challenges, and opportunities. A consensus statement from the Pulmonary Vascular Research Institute's Innovative Drug Development Initiative's Real-world Evidence Working Group

This manuscript on real-world evidence (RWE) in pulmonary hypertension (PH) incorporates the broad experience of members of the Pulmonary Vascular Research Institute's Innovative Drug Development Initiative Real-World Evidence Working Group. We aim to strengthen the research community's understanding of RWE in PH to facilitate clinical research advances and ultimately improve patient care. Herein, we review real-world data (RWD) sources, discuss challenges and opportunities when using RWD sources to study PH populations, and identify resources needed to support the generation of meaningful RWE for the global PH community.

A cost-consequence analysis of adding pertuzumab to the neoadjuvant combination therapy in HER2-positive high-risk early breast cancer in Italy

INTRODUCTION

Clinical trials confirmed the beneficial effects of adding pertuzumab (P) to the combination of trastuzumab-chemotherapy (TC) in the (neo)adjuvant setting of high-risk HER2-positive early breast cancer (HER2+BC). We evaluated the clinical, economic and societal impact of adding pertuzumab to neoadjuvant TC combination (TPC) in Italy.

METHODS

A cost-consequence analysis comparing TPC vs. TC was performed developing a cohort-based multi-state Markov model to estimate the clinical, societal and economic impact of the neoadjuvant therapy of TPC versus TC in HER2+BC at high-risk of recurrence. The model works on a cycle length of 1 month and 5-years-time horizon. Literature review-based data were used to populate the model. The following clinical and economic outcomes were estimated: cumulative incidence of loco-regional/distant recurrences, life of years and QALY and both direct and indirect costs (€). Finally, sensitivity analyses were performed.

RESULTS

TPC was associated with a 75,630 € saved of direct costs. Specifically, it was associated with an initial increase of treatment costs (+4.8%) followed by reduction of recurrence management cost (-20.4%). TPC was also associated with an indirect cost reduction of 1.40%, as well as decreased incidence of distant recurrence (-20.14%), days of work lost (-1.53%) and days lived with disability (-0.50%). Furthermore, TPC reported 10,47 QALY gained (+2.77%) compared to TC. The probability to achieve the pathological complete response (pCR) was the parameter that mostly affected the results in the sensitivity analysis.

CONCLUSION

Our findings suggested that TPC combination could be a cost-saving option in patients with HER2+BC at high-risk of recurrence.

Antidiabetic Molecule Efficacy in Patients with Type 2 Diabetes Mellitus-A Real-Life Clinical Practice Study

In this paper, we aim to evaluate the efficacy of antidiabetic cardioprotective molecules such as Sodium-Glucose Cotransporter-2 Inhibitors (SGLT-2i) and Glucagon-like Peptide 1 Receptor Agonists (GLP-1 RAs) when used with other glucose-lowering drugs, lipid-lowering, and blood pressure (BP)-lowering drugs in a real-life setting. A retrospective, observational study on 477 patients admitted consecutively in 2019 to the outpatient clinic of a tertiary care unit for Diabetes Mellitus was conducted. Body mass index (BMI), blood pressure (BP) (both systolic and diastolic), and metabolic parameters, as well as A1c hemoglobin, fasting glycaemia and lipid profile, including total cholesterol (C), HDL-C, LDL-C and triglycerides), were evaluated at baseline and two follow-up visits were scheduled (6 months and 12 months) in order to assess the antidiabetic medication efficacy. Both SGLT-2i and GLP-1 RAs were efficient in terms of weight control reflected by BMI; metabolic control suggested by fasting glycaemia and A1c; and the diastolic component of BP control when comparing the data from the 6 and 12-month visits to the baseline, and when comparing the 12-month visit to the 6-month visit. Moreover, when comparing SGLT-2i and GLP-1 RAs with metformin, there are efficacy data for SGLT-2i at baseline in terms of BMI, fasting glycaemia, and HbA1c. In this retrospective study, both classes of cardioprotective molecules, when used in conjunction with other glucose-lowering, antihypertensive, and lipid-lowering medications, appeared to be efficient in a real-life setting for the management of T2DM.

Contributions of cost-effectiveness analyses (CEA) to influenza vaccination policy for older adults in Europe

This review describes the importance of economic evaluations and real-world evidence (RWE) for the assessment of enhanced influenza vaccines for older adults in Europe. Individuals ≥65 years of age are at increased risk of severe influenza outcomes and many countries in Europe recommend enhanced vaccines for this population to mitigate immunosenescence. Some National Immunization Technical Advisory Groups (NITAGs) may preferentially recommend a specific enhanced vaccine, necessitating comparative economic evaluation and estimation of relative vaccine effectiveness between enhanced vaccine options in the absence of direct head-to-head efficacy data. Distinct approaches to economic modeling and cost-effectiveness analysis (CEA) guide national vaccination policies in Europe, including how underlying data, such as RWE, are used in these models. RWE is an important evidence source for input into CEA models based on disease factors (e.g., antigenic shift and seasonal variation) and practical factors (e.g., limitations of performing multiple randomized clinical trials to capture seasonal variation; the need to obtain relevant patient-oriented, real-world endpoints, such as hospitalizations). CEA is considered crucial to vaccine assessment among certain countries in Europe, but further harmonization of economic evaluations, including the use of RWE, across NITAGs in Europe may be of benefit, alongside standardized approaches for vaccine appraisal. In the future, more countries may use RWE as an input in CEA models to support NITAG recommendations for enhanced influenza vaccines in older populations, especially considering the value of RWE for the assessment of influenza epidemiology and vaccine effectiveness as stated by the World Health Organization, and the availability of a broad RWE base for certain enhanced vaccines.

Application of Causal Inference Methods to Pooled Longitudinal Non- Randomized Studies: A Methodological Systematic Review

Observational data provide invaluable real-world information in medicine, but certain methodological considerations are required to derive causal estimates. In this systematic review, we evaluated the methodology and reporting quality of individual-level patient data meta-analyses (IPD-MAs) published in 2009, 2014, and 2019 that sought to estimate a causal relationship in medicine. We screened over 16,000 titles and abstracts, reviewed 45 full-text articles out of the 167 deemed potentially eligible, and included 29 into the analysis. Unfortunately, we found that causal methodologies were rarely implemented, and reporting was generally poor across studies. Specifically, only three of the 29 articles used quasi-experimental methods, and no study used G-methods to adjust for time-varying confounding. To address these issues, we propose stronger collaborations between physicians and methodologists to ensure that causal methodologies are properly implemented in IPD-MAs. In addition, we put forward a suggested checklist of reporting guidelines for IPD-MAs that utilize causal methods. This checklist could improve reporting thereby potentially enhancing the quality and trustworthiness of IPD-MAs, which can be considered one of the most valuable sources of evidence for health policy.

Using administrative healthcare data to evaluate drug repurposing opportunities for cancer: the possibility of using beta-blockers to treat breast cancer

Introduction: Cancer registries and hospital electronic medical records are commonly used to investigate drug repurposing candidates for cancer. However, administrative data are often more accessible than data from cancer registries and medical records. Therefore, we evaluated if administrative data could be used to evaluate drug repurposing for cancer by conducting an example study on the association between beta-blocker use and breast cancer mortality. Methods: A retrospective cohort study of women aged ≥50 years with incident breast cancer was conducted using a linked dataset with statewide hospital admission data and nationwide medication claims data. Women receiving beta blockers and first-line anti-hypertensives prior to and at diagnosis were compared. Breast cancer molecular subtypes and metastasis status were inferred by algorithms from commonly prescribed breast cancer antineoplastics and hospitalization diagnosis codes, respectively. Subdistribution hazard ratios (sHR) and corresponding 95% confidence intervals (CIs) for breast cancer mortality were estimated using Fine and Gray's competing risk models adjusted for age, Charlson comorbidity index, congestive heart failure, myocardial infraction, molecular subtype, presence of metastasis at diagnosis, and breast cancer surgery. Results: 2,758 women were hospitalized for incident breast cancer. 604 received beta-blockers and 1,387 received first-line antihypertensives. In total, 154 breast cancer deaths were identified over a median follow-up time of 2.7 years. We found no significant association between use of any beta-blocker and breast-cancer mortality (sHR 0.86, 95%CI 0.58-1.28), or when stratified by beta-blocker type (non-selective, sHR 0.42, 95%CI 0.14-1.25; selective, sHR 0.95, 95%CI 0.63-1.43). Results were not significant when stratified by molecular subtypes (e.g., triple negative breast cancer (TNBC), any beta blocker, sHR 0.16, 95%CI 0.02-1.51). Discussion: It is possible to use administrative data to explore drug repurposing opportunities. Although non-significant, an indication of an association was found for the TNBC subtype, which aligns with previous studies using registry data. Future studies with larger sample size, longer follow-up are required to confirm the association, and linkage to clinical data sources are required to validate our methodologies.

Real-World Evidence in Cost-Effectiveness Analysis of Enhanced Influenza Vaccines in Adults ≥ 65 Years of Age: Literature Review and Expert Opinion

Influenza vaccination can benefit most populations, including adults ≥ 65 years of age, who are at greater risk of influenza-related complications. In many countries, enhanced vaccines, such as adjuvanted, high-dose, and recombinant trivalent/quadrivalent influenza vaccines (aTIV/aQIV, HD-TIV/HD-QIV, and QIVr, respectively), are recommended in older populations to provide higher immunogenicity and increased relative vaccine efficacy/effectiveness (rVE) than standard-dose vaccines. This review explores how efficacy and effectiveness data from randomized controlled trials and real-world evidence (RWE) are used in economic evaluations. Findings from published cost-effectiveness analyses (CEA) on enhanced influenza vaccines for older adults are summarized, and the assumptions and approaches used in these CEA are assessed alongside discussion of the importance of RWE in CEA. Results from many CEA showed that adjuvanted and high-dose enhanced vaccines were cost-effective compared with standard vaccines, and that differences in rVE estimates and acquisition price may drive differences in cost-effectiveness estimates between enhanced vaccines. Overall, RWE and CEA provide clinical and economic rationale for enhanced vaccine use in people ≥ 65 years of age, an at-risk population with substantial burden of disease. Countries that consider RWE when making vaccine recommendations have preferentially recommended aTIV/aQIV, as well as HD-TIV/HD-QIV and QIVr, to protect older individuals.

Data Challenges for Externally Controlled Trials: Viewpoint

The preferred evidence of a large randomized controlled trial is difficult to adopt in scenarios, such as rare conditions or clinical subgroups with high unmet needs, and evidence from external sources, including real-world data, is being increasingly considered by decision makers. Real-world data originate from many sources, and identifying suitable real-world data that can be used to contextualize a single-arm trial, as an external control arm, has several challenges. In this viewpoint article, we provide an overview of the technical challenges raised by regulatory and health reimbursement agencies when evaluating comparative efficacy, such as identification, outcome, and time selection challenges. By breaking down these challenges, we provide practical solutions for researchers to consider through the approaches of detailed planning, collection, and record linkage to analyze external data for comparative efficacy.

A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools

COVID-19 highlighted the need for use of real-world data (RWD) in critical care as a near real-time resource for clinical, research, and policy efforts. Analysis of RWD is gaining momentum and can generate important evidence for policy makers and regulators. Extracting high quality RWD from electronic health records (EHRs) requires sophisticated infrastructure and dedicated resources. We sought to customize freely available public tools, supporting all phases of data harmonization, from data quality assessments to de-identification procedures, and generation of robust, data science ready RWD from EHRs. These data are made available to clinicians and researchers through CURE ID, a free platform which facilitates access to case reports of challenging clinical cases and repurposed treatments hosted by the National Center for Advancing Translational Sciences/National Institutes of Health in partnership with the Food and Drug Administration. This commentary describes the partnership, rationale, process, use case, impact in critical care, and future directions for this collaborative effort.

"Extrafine single inhaler triple therapy effect on health status, lung function and adherence in COPD patients: A Panhellenic prospective non-interventional study - The TRIBUNE study"

The extrafine single inhaler triple therapy (efSITT) containing beclometasone dipropionate/formoterol fumarate/glycopyrronium 87/5/9μg has proved to be efficacious in patients with Chronic Obstructive Pulmonary Disease (COPD) in randomized control trials. TRIBUNE study aimed to assess the efSITT effectiveness on health status, lung function, adherence and rescue medication use in COPD patients in Greece in a real-world setting. This was a 24-week prospective, multicenter, observational study in 1195 patients with moderate/severe COPD and history of at least one exacerbation during the previous year despite dual therapy. Health status (COPD Assessment Test/CAT), lung function parameters and rescue medication use were recorded at baseline, 3 (Visit 2/V2) and 6 months (Visit 3/V3) after treatment. Adherence (Test of Adherence to Inhalers/TAI) and self-reported overall impression of health condition change (Visual Analogue Scale/VAS) were recorded at V2 and V3. Mean CAT score decreased from 20.9 points at V1, to 15.1 at V2 and 13 at V3 (p < 0.001, all pair comparisons). 85.9% of patients achieved a CAT decrease of minimal clinically important difference (MCID) or more (≥2) at V3, compared to V1. Mean FEV1 increased from 1.4 ± 0.5L on V1, to 1.6 ± 0.5L on V3 (p < 0.001, N = 275). The percentage of patients with "good adherence" increased from 58.4% (V2) to 64.0% (V3). Rescue medication use and VAS also significantly improved. The efSITT achieves improved outcomes on health status, lung function and rescue medication use as well as satisfactory adherence and patient-reported improvement of health condition, in moderate/severe COPD patients previously treated with a dual combination in a Greek real-world setting.

Use of Structured Template and Reporting Tool for Real-World Evidence for Critical Appraisal of the Quality of Reporting of Real-World Evidence Studies: A Systematic Review

OBJECTIVES

Real-world evidence (RWE) studies are increasingly being used to support healthcare decisions. Various frameworks, tools, and checklists exist for ensuring quality of real-world data, designing robust studies, and assessing potential for bias. In January 2021, Structured Template and Reporting Tool for RWE (STaRT-RWE) was released to further reduce ambiguity, assumptions, and misinterpretation while planning, implementing, and reporting RWE studies of the safety and effectiveness of treatments. The objective of this study was to identify gaps in the reporting quality of published RWE studies by using this template for critical appraisal.

METHODS

Two reviewers conducted a keyword search on PubMed for free-full-text research articles using real-world data, RWE design, and safety with or without effectiveness outcomes of a medicinal product or intervention in humans of any age or gender, published in English between January 13, 2021, and January 13, 2022. Assessment of risk of bias was done using Assessment of Real-World Observational Studies critical appraisal tool. Deficiencies in methods and findings as per STaRT-RWE template were reported as frequencies.

RESULTS

A total of 54 of 2374 retrieved studies were included in the review. Based on the STaRT-RWE template, the studies inadequately reported empirically defined covariates, power and sample size calculation, attrition, sensitivity analyses, index date (day 0) defining criterion, predefined covariates, outcome, metadata about data source and software, objective, inclusion and exclusion criteria, analysis specifications, and follow-up.

CONCLUSIONS

The use of STaRT-RWE template along with its tables, design diagram, and library of published studies has a potential of improving robustness of RWE studies.

Real-world treatment response in Japanese patients with cancer using unstructured data from electronic health records

Purpose

We generated methods for evaluating clinical outcomes including treatment response in oncology using the unstructured data from electronic health records (EHR) in Japanese language.

Methods

This retrospective analysis used medical record database and administrative data of University of Miyazaki Hospital in Japan of patients with lung/breast cancer. Treatment response (objective response [OR], stable disease [SD] or progressive disease [PD]) was adjudicated by two evaluators using clinicians’ progress notes, radiology reports and pathological reports of 15 patients with lung cancer (training data set). For assessing key terms to describe treatment response, natural language processing (NLP) rules were created from the texts identified by the evaluators and broken down by morphological analysis. The NLP rules were applied for assessing data of other 70 lung cancer and 30 breast cancer patients, who were not adjudicated, to examine if any difference in using key terms exist between these patients.

Results

A total of 2,039 records in progress notes, 131 in radiology reports and 60 in pathological reports of 15 patients, were adjudicated. Progress notes were the most common primary source data for treatment assessment (60.7%), wherein, the most common key terms with high sensitivity and specificity to describe OR were “reduction/shrink”, for SD were “(no) remarkable change/(no) aggravation)” and for PD were “(limited) effect” and “enlargement/grow”. These key terms were also found in other larger cohorts of 70 patients with lung cancer and 30 patients with breast cancer.

Conclusion

This study demonstrated that assessing response to anticancer therapy using Japanese EHRs is feasible by interpreting progress notes, radiology reports and Japanese key terms using NLP.

Unit information prior for incorporating real-world evidence into randomized controlled trials

Randomized controlled trials (RCTs) have been widely recognized as the gold standard to infer the treatment effect in clinical research. Recently, there has been growing interest in enhancing and complementing the result in an RCT by integrating real-world evidence from observational studies. The unit information prior (UIP) is a newly proposed technique that can effectively borrow information from multiple historical datasets. We extend this generic approach to synthesize the non-randomized evidence into a current RCT. Not only does the UIP only require summary statistics published from observational studies for ease of implementation, but it also has clear interpretations and can alleviate the potential bias in the real-world evidence via weighting schemes. Extensive numerical experiments show that the UIP can improve the statistical efficiency in estimating the treatment effect for various types of outcome variables. The practical potential of our UIP approach is further illustrated with a real trial of hydroxychloroquine for treating COVID-19 patients.

Exploring the Correlations Between Measures of Listening Effort in Adults and Children: A Systematic Review with Narrative Synthesis

Listening effort (LE) describes the cognitive resources needed to process an auditory message. Our understanding of this notion remains in its infancy, hindering our ability to appreciate how it impacts individuals with hearing impairment effectively. Despite the myriad of proposed measurement tools, a validated method remains elusive. This is complicated by the seeming lack of association between tools demonstrated via correlational analyses. This review aims to systematically review the literature relating to the correlational analyses between different measures of LE. Five databases were used- PubMed, Cochrane, EMBASE, PsychINFO, and CINAHL. The quality of the evidence was assessed using the GRADE criteria and risk of bias with ROBINS-I/GRADE tools. Each statistically significant analysis was classified using an approved system for medical correlations. The final analyses included 48 papers, equating to 274 correlational analyses, of which 99 reached statistical significance (36.1%). Within these results, the most prevalent classifications were poor or fair. Moreover, when moderate or very strong correlations were observed, they tended to be dependent on experimental conditions. The quality of evidence was graded as very low. These results show that measures of LE are poorly correlated and supports the multi-dimensional concept of LE. The lack of association may be explained by considering where each measure operates along the effort perception pathway. Moreover, the fragility of significant correlations to specific conditions further diminishes the hope of finding an all-encompassing tool. Therefore, it may be prudent to focus on capturing the consequences of LE rather than the notion itself.

Development of a real-world database for asthma and COPD: The SingHealth-Duke-NUS-GSK COPD and Asthma Real-World Evidence (SDG-CARE) collaboration

PURPOSE

The SingHealth-Duke-GlaxoSmithKline COPD and Asthma Real-world Evidence (SDG-CARE) collaboration was formed to accelerate the use of Singaporean real-world evidence in research and clinical care. A centerpiece of the collaboration was to develop a near real-time database from clinical and operational data sources to inform healthcare decision making and research studies on asthma and chronic obstructive pulmonary disease (COPD).

METHODS

Our multidisciplinary team, including clinicians, epidemiologists, data scientists, medical informaticians and IT engineers, adopted the hybrid waterfall-agile project management methodology to develop the SingHealth COPD and Asthma Data Mart (SCDM). The SCDM was developed within the organizational data warehouse. It pulls and maps data from various information systems using extract, transform and load (ETL) pipelines. Robust user testing and data verification was also performed to ensure that the business requirements were met and that the ETL pipelines were valid.

RESULTS

The SCDM includes 199 data elements relevant to asthma and COPD. Data verification was performed and found the SCDM to be reliable. As of December 31, 2019, the SCDM contained 36,407 unique patients with asthma and COPD across the spectrum from primary to tertiary care in our healthcare system. The database updates weekly to add new data of existing patients and to include new patients who fulfil the inclusion criteria.

CONCLUSIONS

The SCDM was systematically developed and tested to support the use RWD for clinical and health services research in asthma and COPD. This can serve as a platform to provide research and operational insights to improve the care delivered to our patients.

Asia Partnership Conference of Pharmaceutical Associations (APAC) Report on Regulatory Agility Implemented During the COVID-19 Pandemic: Inspiring Partnerships and Recommendations for the Way Forward

PURPOSE

Asia Partnership Conference of Pharmaceutical Associations (APAC) promote regulatory agility of four important best practices i.e. reliance, digital platform, accepting electronic document and process integration. Dialogues and strong partnership witnessed reforms and efficiencies amidst the pandemic. In tracking the progress of regulatory agility, APAC identifies areas for improvement and recommends prioritizing these areas for change.

METHODS

As one voice, 13 main industry associations under the umbrella of APAC sent joint letters to our National Regulatory Authorities (NRAs) with a call to maintain regulatory agility and consider new ways of working. Consequently, APAC surveyed its member associations to measure regulatory agilities implemented by the NRAs during 2020 and 2021 in view of the pandemic.

RESULTS

This paper reports progress in implementing regulatory agility, e.g. the number of economies that can accept electronic Certificate of Pharmaceutical Products (eCPP) has reached 100% for the economies that require CPP and more than 90% can waive onsite inspection in the presence of Good Manufacturing Practice (GMP) certificate and/or inspection report. The paper also features the progress made in Malaysia, the Philippines, and the ASEAN (Association of South East Asian Nations) regional reliance initiative to reduce inefficiencies and duplications.

CONCLUSIONS

We have demonstrated the power of working together to enable regulatory agilities and efficiencies. APAC will continue to track the progress of all economies including India within the areas for improvement prioritized and discussed in this paper. APAC is also committed to working with key stakeholders including our NRAs in Asia to sustain and enable a new era of innovation ushered in by COVID-19 to benefit patients.