Additional Value of Patient-Reported Symptom Monitoring in Cancer Care: A Systematic Review of the Literature

Symptom-BERT: Enhancing Cancer Symptom Detection in EHR Clinical Notes

CONTEXT

Extracting cancer symptom documentation allows clinicians to develop highly individualized symptom prediction algorithms to deliver symptom management care. Leveraging advanced language models to detect symptom data in clinical narratives can significantly enhance this process.

OBJECTIVE

This study uses a pretrained large language model to detect and extract cancer symptoms in clinical notes.

METHODS

We developed a pretrained language model to identify cancer symptoms in clinical notes based on a clinical corpus from the Enterprise Data Warehouse for Research at a healthcare system in the Midwestern United States. This study was conducted in 4 phases:1 pretraining a Bio-Clinical BERT model on one million unlabeled clinical documents,2 fine-tuning Symptom-BERT for detecting 13 cancer symptom groups within 1112 annotated clinical notes,3 generating 180 synthetic clinical notes using ChatGPT-4 for external validation, and4 comparing the internal and external performance of Symptom-BERT against a non-pretrained version and six other BERT implementations.

RESULTS

The Symptom-BERT model effectively detected cancer symptoms in clinical notes. It achieved results with a micro-averaged F1-score of 0.933, an AUC of 0.929 internally, and 0.831 and 0.834 externally. Our analysis shows that physical symptoms, like Pruritus, are typically identified with higher performance than psychological symptoms, such as anxiety.

CONCLUSION

This study underscores the transformative potential of specialized pretraining on domain-specific data in boosting the performance of language models for medical applications. The Symptom-BERT model's exceptional efficacy in detecting cancer symptoms heralds a groundbreaking stride in patient-centered AI technologies, offering a promising path to elevate symptom management and cultivate superior patient self-care outcomes.

Hope and its relationship with treatment/ physical related factors in lung cancer patients receiving immunotherapy

BACKGROUNDPURPOSE

Immunotherapy is a new treatment option for patients with Lung Cancer (LC). However, relatively limited research has explored about patients' perception of hope and its associated factors during the process. This study aimed to examine level of perceived hope and the factors related to hope, with a particular focus on treatment and physically related factors, in LC patients receiving immunotherapy.

METHODS

A cross-sectional study was conducted and patients who had already received at least one immunotherapy cycle were recruited from two hospitals in northern Taiwan. The questionnaire included a background information form, the Herth's Hope Index, and the Symptom Severity Scale. Stepwise regression was applied to identify the most robust factors related to level of hope in the participants.

RESULTS

A total of 130 patients were recruited. Overall, patients reported moderate to high levels of hope and mild symptoms. Fatigue, weakness, appearance changes, pruritus, and shortness of breath were identified as the most severe symptoms. Further regression analysis showed that patients with poor performance status, less immunotherapy cycles, higher level of fatigue, and more severe pruritus reported to have lower level of hope which explained 47% of the variances.

CONCLUSIONS

This study revealed that lung cancer patients undergoing immunotherapy had moderate level of hope. Patients' performance status, selected symptoms and times of receiving immunotherapy were the robust factors related to hope. Systematic assessment of patients' symptoms and the development of appropriate interventions to reduce distress and enhance hope are strongly recommended for both clinical care and research.

A budget impact analysis of a digital monitoring solution in patients treated with oral anticancer agents: a medico-economic analysis of the randomized phase 3 CAPRI trial

BACKGROUND/OBJECTIVES

Remote patient monitoring (RPM) has demonstrated numerous benefits in cancer care, including improved quality of life, overall survival, and reduced medical resource use. This study presents a budget impact analysis of a nurse navigator-led RPM program, based on the CAPRI trial, from the perspective of the French national health insurance (NHI). The study aimed to assess the impact of the program on medical resource utilization and costs.

METHODS

Medical resource utilization data were collected from both medico-administrative sources and patient-reported questionnaires. Costs were calculated by applying unit costs to resource utilization and estimating the average monthly cost per patient. Sensitivity analyses were conducted to explore different perspectives and varying resource consumption.

RESULTS

The analysis included 559 cancer patients participating in the CAPRI program. From the NHI perspective, the program resulted in average savings of €377 per patient over the 4.58-month follow-up period, mainly due to reduced hospitalizations. The all-payers perspective yielded even greater savings of €504 per patient. Sensitivity analyses supported the robustness of the findings.

CONCLUSION

The budget impact analysis demonstrated that the CAPRI RPM program was associated with cost savings from the perspective of the NHI. The program's positive impact on reducing hospitalizations outweighed the additional costs associated with remote monitoring. These findings highlight the potential economic benefits of implementing RPM programs in cancer care. Further research is warranted to assess the long-term cost-effectiveness and scalability of such programs in the real-world settings.

Patient-Reported Outcome Measures as an Intervention: A Comprehensive Overview of Systematic Reviews on the Effects of Feedback

OBJECTIVES

Patient-reported outcome measures (PROMs) have emerged as a promising approach to involve patients in their treatment process. Beyond serving as outcome measures, PROMs can be applied to provide feedback to healthcare providers and patients, thereby offering valuable insights that can improve health outcomes and care processes. This overview offers a comprehensive synthesis of the effects of PROM feedback, contributing to the evidence-based discussion on PROMs' potential to enhance patient care.

METHODS

Following Cochrane Collaboration recommendations, this overview included literature reviews across diverse treatment areas, investigating the impact of PROM feedback on patient health outcomes (including quality of life, symptoms, or survival) and care process outcomes (including communication, symptom identification, or clinical practice). The methodological quality of the evidence was assessed with a modified version of A Measurement Tool to Assess Systematic Reviews 2, and the potential overlap of primary studies was quantified. Results were narratively synthesized.

RESULTS

Forty reviews grouped into 4 categories of treatment areas were included. Overall, their methodological quality was low. The overall overlap of primary studies was 2.2%, reaching up to 15.7% within specific treatment areas. The results indicate that PROM feedback may enhance the quality-of-care processes, whereas its effects on patient health outcomes remained less conclusive.

CONCLUSIONS

PROM feedback positively influences the interaction between physicians and patients across the included treatment areas. Further research is needed to comprehend the trickle-down effects of PROM feedback and how to enhance its potential in yielding health benefits for patients.

Application of Patient-Reported Outcome Measurements in Adult Tumor Clinical Trials in China: Cross-Sectional Study

BACKGROUND

International health policies and researchers have emphasized the value of evaluating patient-reported outcomes (PROs) in clinical studies. However, the characteristics of PROs in adult tumor clinical trials in China remain insufficiently elucidated.

OBJECTIVE

This study aims to assess the application and characteristics of PRO instruments as primary or secondary outcomes in adult randomized clinical trials related to tumors in China.

METHODS

This cross-sectional study identified tumor-focused randomized clinical trials conducted in China between January 1, 2010, and June 30, 2022. The ClinicalTrials.gov database and the Chinese Clinical Trial Registry were selected as the databases. Trials were classified into four groups based on the use of PRO instruments: (1) trials listing PRO instruments as primary outcomes, (2) trials listing PRO instruments as secondary outcomes, (3) trials listing PRO instruments as coprimary outcomes, and (4) trials without any mention of PRO instruments. Pertinent data, including study phase, settings, geographic regions, centers, participant demographics (age and sex), funding sources, intervention types, target diseases, and the names of PRO instruments, were extracted from these trials. The target diseases involved in the trials were grouped according to the American Joint Committee on Cancer Staging Manual, 8th Edition.

RESULTS

Among the 6445 trials examined, 2390 (37.08%) incorporated PRO instruments as part of their outcomes. Within this subset, 26.82% (641/2390) listed PRO instruments as primary outcomes, 52.72% (1260/2390) as secondary outcomes, and 20.46% (489/2390) as coprimary outcomes. Among the 2,155,306 participants included in these trials, PRO instruments were used to collect data from 613,648 (28.47%) patients as primary or secondary outcomes and from 74,287 (3.45%) patients as coprimary outcomes. The most common conditions explicitly using specified PRO instruments included thorax tumors (217/1280, 16.95%), breast tumors (176/1280, 13.75%), and lower gastrointestinal tract tumors (173/1280, 13.52%). Frequently used PRO instruments included the European Organisation for Research and Treatment of Cancer Quality of Life Core Questionnaire-30, the visual analog scale, the numeric rating scale, the Traditional Chinese Medicine Symptom Scale, and the Pittsburgh Sleep Quality Index.

CONCLUSIONS

Over recent years, the incorporation of PROs has demonstrated an upward trajectory in adult randomized clinical trials on tumors in China. Nonetheless, the infrequent measurement of the patient's voice remains noteworthy. Disease-specific PRO instruments should be more effectively incorporated into various tumor disease categories in clinical trials, and there is room for improvement in the inclusion of PRO instruments as clinical trial end points.

The impact of skeletal muscle index at the third lumbar spine on nosocomial deterioration and short-term prognosis in acute pancreatitis: a retrospective observational study

Objective

To investigate the impact of the third lumbar skeletal muscle index (L3-SMI) assessed by CT on the in-hospital severity and short-term prognosis of acute pancreatitis.

Methods

A total of 224 patients with severe acute pancreatitis admitted to Yantaishan Hospital from January 2021 to June 2022 were selected as the subjects. Based on the in-hospital treatment outcomes, they were divided into a mortality group of 59 cases as well as a survival group of 165 cases. Upon admission, general information such as the Acute Physiology and Chronic Health Evaluation II (APACHE II) score, along with the abdominal CT images of each patient, were analyzed. The L3-SMI was calculated, and the Modified CT Severity Index (MCTSI) and Balthazar CT grade were used to assess the severity of in-hospital complications of acute pancreatitis. The evaluation value of L3-SMI for the prognosis of severe acute pancreatitis was analyzed, as well as the factors influencing the prognosis of severe acute pancreatitis.

Results

No statistically significant differences in gender, age, BMI, etiology, duration of anti-inflammatory drug use, and proportion of surgical patients between the survival and mortality groups were observed. But the mortality group showed higher proportions of patients with an elevated APACHE II score upon admission, mechanical ventilation, and renal replacement therapy, compared to the survival group, with statistically significant differences (P < 0.001). Furthermore, the mortality group had higher MCTSI scores (6.42 ± 0.69) and Balthazar CT grades (3.78 ± 0.45) than the survival group, with statistically significant differences (P < 0.001). The mortality group also had a lower L3-SMI (39.68 ± 3.25) compared to the survival group (42.71 ± 4.28), with statistically significant differences (P < 0.001). L3-SMI exhibited a negative correlation with MCTSI scores and Balthazar CT grades (r = -0.889, -0.790, P < 0.001). Logistic regression analysis, with mortality of acute pancreatitis patients as the dependent variable and MCTSI scores, Balthazar CT grades, L3-SMI, APACHE II score upon admission, mechanical ventilation, and renal replacement therapy as independent variables, revealed that MCTSI scores and L3-SMI were risk factors for mortality in acute pancreatitis patients (P < 0.001). Logistic regression analysis using the same variables confirmed that all these factors were risk factors for mortality in acute pancreatitis patients.

Conclusion

This study confirmed that diagnosing muscle depletion using L3-SMI is a valuable radiological parameter for predicting in-hospital severity and short-term prognosis in patients with acute pancreatitis.

A comparison of the prevalence of dry mouth and other symptoms using two different versions of the Edmonton Symptom Assessment System on an inpatient palliative care unit

BACKGROUND

Symptom assessment is key to effective symptom management and palliative care for patients with advanced cancer. Symptom prevalence and severity estimates vary widely, possibly dependent on the assessment tool used. Are symptoms specifically asked about or must the patients add them as additional symptoms? This study compared the prevalence and severity of patient-reported symptoms in two different versions of a multi-symptom assessment tool. In one version, three symptoms dry mouth, constipation, sleep problems were among those systematically assessed, while in the other, these symptoms had to be added as an "Other problem".

METHODS

This retrospective cross-sectional study included adult patients with advanced cancer at an inpatient palliative care unit. Data were collected from two versions of the Edmonton Symptom Assessment System (ESAS): modified (ESAS-m) listed 11 symptoms and revised (ESAS-r) listed 9 and allowed patients to add one "Other problem". Seven similar symptoms were listed in both versions.

RESULTS

In 2013, 184 patients completed ESAS-m, and in 2017, 156 completed ESAS-r. Prevalence and severity of symptoms listed in both versions did not differ. In ESAS-m, 83% reported dry mouth, 73% constipation, and 71% sleep problems, but on ESAS-r, these symptoms were reported by only 3%, 15% and < 1%, respectively. Although ESAS-r severity scores for these three symptoms were higher than on ESAS-m, differences did not reach statistical significance.

CONCLUSION

We identified significant differences in patient symptom reporting based on whether symptoms like dry mouth, obstipation and sleep problems were specifically assessed or had to be added by patients as an "Other problem".

Real-world use and clinical impact of an electronic patient-reported outcome tool in patients with solid tumors treated with immuno-oncology therapy

BACKGROUND

Utilization of electronic patient-reported outcome (ePRO) tools to monitor symptoms in patients undergoing cancer treatment has shown clinical benefits. Tennessee Oncology (TO) implemented an ePRO platform in 2019, allowing patients to report their health status online. We conducted a real-world, multicenter, observational, non-interventional cohort study to evaluate utilization of this platform in adults with solid tumors who initiated immuno-oncology (IO) therapy as monotherapy or in combination at TO clinics.

METHODS

Patients initiating IO therapy prior to platform implementation were included in a historical control (HC) cohort; those initiating treatment after implementation were included in the ePRO cohort, which was further divided into ePRO users (platform enrollment ≤ 45 days from IO initiation) and non-users. Data were extracted from electronic medical records; patients were followed for up to 6 months (no minimum follow up). Outcomes included patient characteristics, treatment patterns, duration of therapy (DoT), and overall survival (OS).

RESULTS

Data were collected for 538 patients in the HC and 1014 in the ePRO cohort; 319 in the ePRO cohort were ePRO users (uptake rate 31%). Baseline age was higher, more patients had stage IV disease at diagnosis, and more received monotherapy (82 vs 52%, respectively) in the HC vs the ePRO cohort. Median follow-up was 181.0 days (range 0.0-182.6) in the HC and 175.0 (0.0-184.0) in the ePRO cohort. Median DoT of index IO regimen was 5.1 months (95% confidence interval [CI], 4.4-NE) in the HC cohort vs not estimable (NE) in the ePRO cohort. Multivariable regression adjusting for baseline differences confirmed lower risk of treatment discontinuation in the ePRO vs HC cohort: hazard ratio (HR) 0.83 (95% CI, 0.71-0.97); p < 0.05. The estimated 6-month OS rate was 65.5% in the HC vs 72.4% in the ePRO cohort (p < 0 .01). Within the ePRO cohort, DoT of index IO regimen and OS did not differ between users and non-users. In ePRO users, patient platform use was durable over 6 months.

CONCLUSION

Improvements in DoT and OS were seen after ePRO platform implementation. Conclusions are limited by challenges in separating the impact of platform implementation from other changes affecting outcomes.

Predictive value of the Rothman index for unplanned 90-day readmission rates following hospital discharge in oral cancer patients

This study aims to evaluate the predictive capability of the Rothman Index in determining unplanned readmissions within 90 days after discharge for oral cancer patients. The consecutive recruitment was carried out from May 1, 2020, to May 31, 2023, at the outpatient department of Ruijin Hospital of Medical College of Shanghai Jiao Tong University Shanghai Hospital. The evaluation is based on internationally recognized clinical evaluation indicators. A total of 125 recruited patients were grouped as per the presence (n=13) or absence (n=112) of unplanned readmissions within 90 days after discharge. Electronic medical records and patient follow-up records were used to collect details, including gender, age, body mass index, associated conditions such as diabetes and hypertension, treatment approach, and pathological type. In addition, the Rothman Index, postoperative complications, and rates of unplanned readmissions within 90 days post-discharge were assessed following previous literature. Although there was no significant difference in gender, body mass index, and length of hospital stay between the groups (P > 0.05), age, smoking and alcohol consumption history, and the Rothman Index exhibited significant variations (P < 0.05). The Rothman Index was found to be the most strongly correlated with unplanned readmissions within 90 days and could be incorporated in a prediction model. The area under the curve (AUC), as highlighted in the receiver operating characteristic (ROC) curve analysis, for predicting unplanned readmissions within 90 days post-discharge was 0.930, using Rothman Index. This suggests that the Rothman Index could be an effective tool in managing risk in clinical settings due to its potential to accurately predict the rate of unplanned readmissions for oral cancer patients within 90 days of discharge.

Remote Patient-Reported Outcomes and Activity Monitoring to Improve Patient-Clinician Communication Regarding Symptoms and Functional Status: A Randomized Controlled Trial

PURPOSE

Routine collection of patient-generated health data (PGHD) may promote earlier recognition of symptomatic and functional decline. This trial assessed the impact of an intervention integrating remote PGHD collection with patient nudges on symptom and functional status understanding between patients with advanced cancer and their oncology team.

METHODS

This three-arm randomized controlled trial was conducted from November 19, 2020, to December 17, 2021, at a large tertiary oncology practice. We enrolled patients with stage IV GI and lung cancers undergoing chemotherapy. Over 6 months, patients in two intervention arms received PROStep-weekly text message-based symptom surveys and passive activity monitoring using a wearable accelerometer. PGHD were summarized in dashboards given to patients' oncology team before appointments. One intervention arm received an additional text-based active choice prompt to discuss worsening symptoms or functional status with their clinician. Control patients did not receive PROStep. The coprimary outcomes patient perceptions of oncology team symptom and functional understanding at 6 months were measured on a 1-5 Likert scale (5 = high understanding).

RESULTS

One hundred eight patients enrolled: 55% male, 81% White, and 77% had GI cancers. Patient-reported clinician understanding did not differ between control and intervention arms for symptoms (4.5 v 4.5; P = .87) or functional status (4.5 v 4.3; P = .31). In the intervention arms, combined patient adherence to weekly symptom reports and daily activity monitoring was 64% and 53%, respectively. Intervention patients in the PROStep versus PROStep + active choice arms reported low burden from wearing the accelerometer (mean burden [standard deviation], 2.7 [1.3] v 2.1 [1.3]; P = .15) and completing surveys (2.1 [1.2] v 1.9 [1.3]; P = .44).

CONCLUSION

Patients receiving PROStep reported high understanding of symptoms and functional status from their oncology team, although this did not differ from controls.

Patient-Reported Outcome Measures to Improve the Care Continuum for Patients With Metastatic Breast Cancer: Opportunities and Implications for Nursing Practice

OBJECTIVES

Albeit treatable, metastatic breast cancer (MBC) remains incurable. To achieve remaining life years lived well, extended survival should be balanced with optimal health-related quality of life (HRQoL) and timely initiated supportive, palliative, and end-of-life care. The Advanced Breast Cancer (ABC) Global Alliance identified 10 urgent and actionable goals for the decade between 2015 and 2025 to achieve substantial improvement in the lives of patients living with ABC, including MBC. Enhancements are needed for HRQoL, research, quality of care, and survival. We explore the potential of patient-reported outcome measures (PROMs) in addressing these gaps and aim to describe opportunities and current initiatives for improving the MBC care continuum through PROMs.

DATA SOURCES

Narrative description of recent literature on MBC and PROMs.

CONCLUSION

We believe PROMs can make valuable contributions to seven of the 10 goals described: 1) enhancing the understanding of MBC through high-quality data collection, 2) improving HRQoL and raising consideration of survival versus HRQoL, 2) prolonging survival, 4) increasing referral to nonclinical support services, 5) supporting patient-healthcare provider communication, 6) encouraging improvements in healthcare access, and 7) supporting meeting patients' informational needs.

IMPLICATIONS FOR NURSING PRACTICE

Maximizing the benefits of PROMs requires effective implementation. Because nurses and nurse practitioners are at the forefront of care, they can offer a comprehensive understanding of patients' needs and play a crucial role in facilitating the integration of PROMs into routine care for MBC patients and ultimately optimizing patients' outcomes and life years and months left.

Adherence to Patient-Reported Symptom Monitoring and Subsequent Clinical Interventions for Patients With Multiple Myeloma in Outpatient Care: Longitudinal Observational Study

BACKGROUND

The use of software to monitor patient-reported outcome measures (PROMs) can improve outcomes for patients with cancer receiving anticancer therapy; however, evidence from applications used in routine clinical practice is lacking.

OBJECTIVE

We aimed to investigate adherence to and patient perceptions of a weekly, web-based PROM symptom monitoring program in routine clinical practice for patients with Multiple Myeloma. Moreover, we aimed to capture how clinical alerts prompted by the system influenced clinical care.

METHODS

We conducted a single-center longitudinal observational study to evaluate patient adherence to and perceptions of the PROM monitoring software in routine practice. Patients with Multiple Myeloma remotely completed weekly treatment-specific PROMs to monitor key symptoms via a dedicated web-based platform. Alarming symptoms triggered clinical alerts in the application for the treatment team, which could initiate clinical interventions. The primary outcomes were the web-based assessment completion rate and patients' perceptions of the monitoring program, as assessed by an evaluation questionnaire. Moreover, clinical alerts prompted by the system and consequential clinical interventions were analyzed.

RESULTS

Between July 2021 and June 2022, a total of 55 patients were approached for participation; 39 patients participated (24, 61% male, mean age 63.2, SD 9.2 years). The median assessment completion rate out of all weekly scheduled assessments was 70.3% (IQR 41.2%-89.6%). Most patients (77%) felt that the health care team was better informed about their health status due to the web-based assessments. Clinical alerts were triggered for 1758 of 14,639 (12%) reported symptoms. For 548 of 1758 (31.2%) alerts, the symptom had been registered before and no further action was required; for 348 of 1758 (19.9%) alerts, telephone consultation and self-management advice sufficed. Higher-level interventions were seldom needed in response to alerts: referral to a doctor or specialist (88/1758, 5% alerts), medication changes (22/1758, 1.3%), scheduling additional diagnostics (9/1758, 0.5%), or unplanned emergency visits (7/1758, 0.4%). Most patients (55%) reported the calls in response to alerts gave them "quite a bit" or "very much" of an added feeling of security during therapy.

CONCLUSIONS

Our study shows that high adherence to regular and tailored PROM monitoring can be achieved in routine clinical care. The findings provide valuable insight into how the PROM monitoring program and the clinical alerts and resulting interventions shaped clinical practice.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05036863; https://clinicaltrials.gov/study/NCT05036863.

Digital Transformation of Cancer Care in the Era of Big Data, Artificial Intelligence and Data-Driven Interventions: Navigating the Field

OBJECTIVES

To navigate the field of digital cancer care and define and discuss key aspects and applications of big data analytics, artificial intelligence (AI), and data-driven interventions.

DATA SOURCES

Peer-reviewed scientific publications and expert opinion.

CONCLUSION

The digital transformation of cancer care, enabled by big data analytics, AI, and data-driven interventions, presents a significant opportunity to revolutionize the field. An increased understanding of the lifecycle and ethics of data-driven interventions will enhance development of innovative and applicable products to advance digital cancer care services.

IMPLICATIONS FOR NURSING PRACTICE

As digital technologies become integrated into cancer care, nurse practitioners and scientists will be required to increase their knowledge and skills to effectively use these tools to the patient's benefit. An enhanced understanding of the core concepts of AI and big data, confident use of digital health platforms, and ability to interpret the outputs of data-driven interventions are key competencies. Nurses in oncology will play a crucial role in patient education around big data and AI, with a focus on addressing any arising questions, concerns, or misconceptions to foster trust in these technologies. Successful integration of data-driven innovations into oncology nursing practice will empower practitioners to deliver more personalized, effective, and evidence-based care.

Cancer Treatment-Related Ovarian Dysfunction in Women of Childbearing Potential: Management and Fertility Preservation Options

PURPOSE

To review the complex concerns of oncofertility created through increased cancer survivorship and the long-term effects of cancer treatment in young adults.

DESIGN

Review chemotherapy-induced ovarian dysfunction, outline how fertility may be addressed before treatment initiation, and discuss barriers to oncofertility treatment and guidelines for oncologists to provide this care to their patients.

CONCLUSION

In women of childbearing potential, ovarian dysfunction resulting from cancer therapy has profound short- and long-term implications. Ovarian dysfunction can manifest as menstrual abnormalities, hot flashes, night sweats, impaired fertility, and in the long term, increased cardiovascular risk, bone mineral density loss, and cognitive deficits. The risk of ovarian dysfunction varies between drug classes, number of received lines of therapy, chemotherapy dosage, patient age, and baseline fertility status. Currently, there is no standard clinical practice to evaluate patients for their risk of developing ovarian dysfunction with systemic therapy or means to address hormonal fluctuations during treatment. This review provides a clinical guide to obtain a baseline fertility assessment and facilitate fertility preservation discussions.

The Effects of Patient-Reported Outcome Screening on the Survival of People with Cancer: A Systematic Review and Meta-Analysis

This study examined the effects of the routine assessment of patient-reported outcomes (PROs) on the overall survival of adult patients with cancer. We included clinical trials and observational studies with a control group that compared PRO monitoring interventions in cancer clinical practice to usual care. The Cochrane risk-of-bias tools were used. In total, six studies were included in the systematic review: two randomized trials, one population-based retrospectively matched cohort study, two pre−post with historical control studies and one non-randomized controlled trial. Half were multicenter, two were conducted in Europe, three were conducted in the USA and was conducted in Canada. Two studies considered any type of cancer, two were restricted to lung cancer and two were restricted to advanced forms of cancer. PRO screening was electronic in four of the six studies. The meta-analysis included all six studies (intervention = 130.094; control = 129.903). The pooled mortality outcome at 1 year was RR = 0.77 (95%CI 0.76−0.78) as determined by the common effect model and RR = 0.82 (95%CI 0.60−1.12; p = 0.16) as determined by the random-effects model. Heterogeneity was statistically significant (I2 = 73%; p < 0.01). The overall risk of bias was rated as moderate in five studies and serious in one study. This meta-analysis seemed to indicate the survival benefits of PRO screening. As routine PRO monitoring is often challenging, more robust evidence regarding the effects of PROs on mortality would support systematic applications.

Safety of acupuncture in oncology: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Acupuncture is frequently used to treat the side effects of cancer treatment, but the safety of this intervention remains uncertain. The current meta-analysis was conducted to assess the safety of acupuncture in oncological patients.

METHODS

The PubMed, Cochrane Central Register of Controlled Trials, and Scopus databases were searched from their inception to August 7, 2020. Randomized controlled trials in oncological patients comparing invasive acupuncture with sham acupuncture, treatment as usual (TAU), or any other active control were eligible. Two reviewers independently extracted data on study characteristics and adverse events (AEs). Risk of bias was assessed using the Cochrane Risk of Bias Tool.

RESULTS

Of 4590 screened articles, 65 were included in the analyses. The authors observed that acupuncture was not associated an with increased risk of intervention-related AEs, nonserious AEs, serious AEs, or dropout because of AEs compared with sham acupuncture and an active control. Compared with TAU, acupuncture was not associated with an increased risk of intervention-related AEs, serious AEs, or drop out because of AEs but was associated with an increased risk for nonserious AEs (odds ratio, 3.94; 95% confidence interval, 1.16-13.35; P = .03). However, the increased risk of nonserious AEs compared with TAU was not robust against selection bias. The meta-analyses may have been biased because of the insufficient reporting of AEs in the original randomized controlled trials.

CONCLUSIONS

The current review indicates that acupuncture is as safe as sham acupuncture and active controls in oncological patients. The authors recommend researchers heed the CONSORT (Consolidated Standards of Reporting Trials) safety and harm extension for reporting to capture the side effects and better investigate the risk profile of acupuncture in oncology.

LAY SUMMARY

According to this analysis, acupuncture is a safe therapy for the treatment of patients with cancer. Acupuncture seems to be safe compared with sham acupuncture and active controls.