The wooden artifacts from Schöningen's Spear Horizon and their place in human evolution

Ethnographic records show that wooden tools played a pivotal role in the daily lives of hunter-gatherers including food procurement tools used in hunting (e.g., spears, throwing sticks) and gathering (e.g. digging sticks, bark peelers), as well as, domestic tools (e.g., handles, vessels). However, wood rarely survives in the archeological record, especially in Pleistocene contexts and knowledge of prehistoric hunter-gatherer lifeways is strongly biased by the survivorship of more resilient materials such as lithics and bones. Consequently, very few Paleolithic sites have produced wooden artifacts and among them, the site of Schöningen stands out due to its number and variety of wooden tools. The recovery of complete wooden spears and throwing sticks at this 300,000-y-old site (MIS 9) led to a paradigm shift in the hunter vs. scavenger debate. For the first time and almost 30 y after their discovery, this study introduces the complete wooden assemblage from Schöningen 13 II-4 known as the Spear Horizon. In total, 187 wooden artifacts could be identified from the Spear Horizon demonstrating a broad spectrum of wood-working techniques, including the splitting technique. A minimum of 20 hunting weapons is now recognized and two newly identified artifact types comprise 35 tools made on split woods, which were likely used in domestic activities. Schöningen 13 II-4 represents the largest Pleistocene wooden artifact assemblage worldwide and demonstrates the key role woodworking had in human evolution. Finally, our results considerably change the interpretation of the Pleistocene lakeshore site of Schöningen.

Federated Learning Survival Model and Potential Radiotherapy Decision Support Impact Assessment for Non-small Cell Lung Cancer Using Real-World Data

AIMS

The objective of this study was to develop a two-year overall survival model for inoperable stage I-III non-small cell lung cancer (NSCLC) patients using routine radiation oncology data over a federated (distributed) learning network and evaluate the potential of decision support for curative versus palliative radiotherapy.

METHODS

A federated infrastructure of data extraction, de-identification, standardisation, image analysis, and modelling was installed for seven clinics to obtain clinical and imaging features and survival information for patients treated in 2011-2019. A logistic regression model was trained for the 2011-2016 curative patient cohort and validated for the 2017-2019 cohort. Features were selected with univariate and model-based analysis and optimised using bootstrapping. System performance was assessed by the receiver operating characteristic (ROC) and corresponding area under curve (AUC), C-index, calibration metrics and Kaplan-Meier survival curves, with risk groups defined by model probability quartiles. Decision support was evaluated using a case-control analysis using propensity matching between treatment groups.

RESULTS

1655 patient datasets were included. The overall model AUC was 0.68. Fifty-eight percent of patients treated with palliative radiotherapy had a low-to-moderate risk prediction according to the model, with survival times not significantly different (p = 0.87 and 0.061) from patients treated with curative radiotherapy classified as high-risk by the model. When survival was simulated by risk group and model-indicated treatment, there was an estimated 11% increase in survival rate at two years (p < 0.01).

CONCLUSION

Federated learning over multiple institution data can be used to develop and validate decision support systems for lung cancer while quantifying the potential impact of their use in practice. This paves the way for personalised medicine, where decisions can be based more closely on individual patient details from routine care.

Danish value sets for the EORTC QLU-C10D utility instrument

PURPOSE

In this study, we developed Danish utility weights for the European Organisation for Research and Treatment of Cancer (EORTC) QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30.

METHODS

Following a standardized methodology, 1001 adult participants from the Danish general population were quota-sampled and completed a cross-sectional web-based survey and discrete choice experiment (DCE). In the DCE, participants considered 16 choice sets constructed from the key 10 dimensions of the QLU-C10D and chose their preferred health state for each one. Utility weights were calculated using conditional logistic regression with correction for non-monotonicity.

RESULTS

The sample (n = 1001) was representative of the Danish general population with regard to age and gender. The domains with the largest utility decrements, i.e., the domains with the biggest impact on health utility, were physical functioning (- 0.224), pain (- 0.160), and role functioning (- 0.136). The smallest utility decrements were observed for the domains lack of appetite (- 0.024), sleep disorders (- 0.057), and fatigue (- 0.064). Non-monotonicity of severity levels was observed for the domains sleep disturbances, lack of appetite, and bowel problems. Deviations from monotonicity were not statistically significant.

CONCLUSION

The EORTC QLU-C10D is a relatively new multi-attribute utility instrument and is a promising cancer-specific health technology assessment candidate measure. The country-specific Danish utility weights from this study can be used for cost-utility analyses in Danish patients and for comparison with other country-specific utility data.

Integration of Daily Patient-Reported Outcome Measures in Pediatric Stem Cell Transplantation

Patients' reports of their health status are increasingly used in hematopoietic stem cell transplantation (SCT) to better understand the negative impact on symptom burden and quality of life. Little is known regarding the implementation in routine clinical care, particularly how it can be used to improve supportive care. We sought to the evaluate feasibility of capturing daily patient-reported outcomes (PROs) in the acute phase of SCT to measure physical and psychosocial symptom burden. In this single-center prospective observational study, we assessed daily PRO from conditioning to neutrophil engraftment in children (age 1 to 18 year) who underwent allogeneic or autologous SCT for malignant and nonmalignant disease. The most common acute adverse effects of chemotherapy (pain, nausea, loss of appetite, sleep disturbance, and physical performance impairment) were reported daily via ePROtect, a web-based program designed to integrate health responses. From February 2021 to March 2023, 20 children undergoing allogeneic (allo-) SCT (n = 11) or autologous (auto-) SCT (n = 9) and their proxies consented to participation, all of whom were included in this analysis. A total of 359 PRO questionnaires were completed, corresponding to a median daily completion rate of 72.7% (interquartile range, 60.4% to 83.6%). After conditioning, pain perception anticipated the rise of infectious parameters and the development of mucositis, thus initiating supportive treatment. Patients reported the strongest symptom burden at a median of 8.5 days post-transplantation. At 4 weeks post-transplantation, baseline values were restored for all symptoms. There were no significant differences between auto-SCT and allo-SCT, except for nausea and loss of appetite after administration of antithymocyte globulin in allo-SCT. This study empirically documents the daily health status of children undergoing SCT and proposes an attractive modus operandi on how continuous feedback on health-related symptoms can be integrated into daily clinical practice.

International validation of a health-related quality-of-life questionnaire for Hodgkin lymphoma: the EORTC QLQ-HL27

Hodgkin lymphoma (HL) has become 1 of the most curable cancers. Therefore, rigorous assessment of health-related quality of life (HRQoL) and symptom burden of these patients is essential to support informed clinical decisions. The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group previously developed the EORTC Quality of Life Questionnaire (QLQ) Hodgkin Lymphoma 27. This paper reports the final results of an international study by the EORTC group to develop a HRQoL disease-specific measure for these patients: the EORTC QLQ-HL27. Patients with a confirmed diagnosis of HL (N = 381) were enrolled from 12 countries and completed the EORTC QLQ-C30, QLQ-HL27, and a debriefing questionnaire at baseline (any time after diagnosis). A subset completed a retest (n = 126) or responsiveness-to-change analyses (RCA) second measurement (n = 98). Psychometrics were evaluated. Confirmatory factor analysis showed an acceptable fit of the 27 items of the QLQ-HL27 on its 4 scales (symptom burden, physical condition/fatigue, emotional impact, and worries about health/functioning). Test-retest reliability, convergent validity, known-group comparisons, and RCA find satisfactory results. Symptom burden and fatigue was higher among patients on treatment (with 36%-83% reporting at least a few problems) compared with those who had completed treatment (19%-61% reporting at least a few problems). Prevalence of worries about health and functioning (reporting at least some worry) was similar for patients on treatment (51%-81%) vs those who had completed treatment (52%-78%). Implementation of the EORTC QLQ-HL27 in research and clinical applications will increase sensitivity of HRQoL assessment in patients with HL. High quality data generated through use of this questionnaire are expected to facilitate clinical decision making in the HL setting.

General population normative data from seven European countries for the K10 and K6 scales for psychological distress

The 10-item Kessler Psychological Distress scale (K10) and its 6-item short-form version (K6) measure psychological distress, particularly anxiety or depressive symptoms. While these questionnaire scales are widely used in various settings and populations, general population normative data are rarely available. To facilitate the interpretation of K10 and K6 scores, we provide normative general population data from seven European countries. We used an online survey to collect K10 data from general population samples in Austria, Italy, Germany, France, the Netherlands, Poland and Spain. We calculated the age- and sex-specific normative values separately for each country. For more specific estimates of K10 and K6 scores for individuals or groups, we also established a multivariable regression model based on socio-demographic and health data. In total, N = 7,087 adults participated in our study (51.6% women; mean age, 49.6 years). The mean K10 score in the total sample was 8.5 points (standard deviation, 7.3) on 0-40 points metric, with mean scores in individual countries ranging from 6.9 (the Netherlands) to 9.9 (Spain). Women showed higher scores than men and younger participants scored higher than older participants. Our study is the first to present normative K10 and K6 data from several European countries using a consistent sampling approach. These reference values will facilitate the interpretation of K10 and K6 scores in clinical research and practice and also highlight the variation in psychological distress levels across countries and groups according to their socio-demographic and health characteristics.

Can Advanced Radiotherapy Clinical Trials be Conducted in Resources Limited Countries?

PURPOSE/OBJECTIVE(S)

The Lancet Oncology Commission on Cancer in Sub-Saharan Africa (SSA) highlighted the region's increasing cancer incidence and mortality, and recommended a series of actions to address this growing crisis. One such approach recommended by the Commission to increase access to curative treatment is the use of hypofractionated radiotherapy (HFRT). Here we highlight the barriers and facilitators to launching HFRT in SSA, as identified through the HypoAfrica clinical trial.

MATERIALS/METHODS

HypoAfrica is a longitudinal multi-center clinical trial that was launched in late 2021 at three centers in Nigeria, Tanzania, and South Africa. The goal of HypoAfrica was to assess the feasibility of implementing HFRT for localized prostate cancer in SSA. To date, 155 of 182 subjects have been enrolled in this study. During the last year, a team of radiation oncology professionals from Africa, Europe, Australia, and USA met once every Saturday and reviewed the sites' data to identify the barriers to the implementation of HFRT and find solutions to overcome these challenges. With the intent to expand HFRT trials and practice to new SSA countries and radiotherapy centers, we also conducted an online survey to elucidate the readiness of radiotherapy centers across SSA to perform HFRT.

RESULTS

The major challenge identified by this team was securing high-quality data that will yield statistically significant results. Factors that contribute to quality data are: harmonization of machine and patient-specific quality assurance (QA) procedures across the centers, data quality harmonization, and challenges associated with machine maintenance. Immediate solutions implemented included introduction of low-cost QA tools for patient-specific QA measurements, ongoing training of the site's healthcare professionals, implementation of preventative maintenance for Linacs, and data centralization infrastructure. These actions have resulted in the production of a high-quality, standardized dataset. Planned longer-term solutions to HFRT challenges include implementation of ongoing training, telehealth for remote support and QA, and the creation of an Imaging and Radiation Oncology Core for Africa. The online survey indicated that 61% of respondents' institutions perform HFRT for palliative purposes, emphasizing the readiness of sites in SSA to utilize HFRT for curative purposes.

CONCLUSION

The study serves as a useful guide for increasing access to HFRT treatment in resource-limited settings and for conducting multicenter radiotherapy clinical trials.

The effect of inflammation, SARS-CoV-2 infection, age and mental health on serotonin, and kynurenine and catecholamine pathway metabolites

BACKGROUND

A high prevalence of mental disorders following COVID-19 has been described. It is therefore essential to elucidate underlying biological mechanisms linking SARS-CoV-2 infection and mental health. The kynurenine and catecholamine metabolic pathways are modulated by inflammation and can affect systemic levels of serotonin and dopamine. Their activity may hence link physical disorders with mental health. We investigated factors that affect kynurenine and catecholamine pathway activity in SARS-CoV-2 infection and recovery.

METHODS

The cross-sectional SIMMUN (n = 165) and longitudinal INCOV cohort (n = 167, Su et al. 2022) were analyzed. Demographic and clinical characteristic, inflammatory markers, SARS-CoV-2 infection, symptoms of depression and anxiety (HADS), and mental stress (PSS-4) served as explanatory variables. Blood serotonin and markers of kynurenine (kynurenine/tryptophan ratio), and catecholamine pathway activity (dopamine 3-O-sulfate, phenylalanine/tyrosine ratio) were modeled by multi-parameter linear regression.

RESULTS

In the SIMMUN cohort, the inflammatory marker neopterin (β = 0.47 [95% CI: 0.34-0.61]), SARS-CoV-2-positivity (0.42 [0.16-0.68]), mental stress (0.18 [0.055-0.31]), and age (0.26 [0.12-0.39]) were positively associated with the kynurenine/tryptophan ratio. The phenylalanine/tyrosine ratio was lower in SARS-CoV-2-positive than uninfected participants (-0.38 [-0.68 to -0.08]). In the INCOV cohort, markers of inflammation were associated with lower serotonin (IL6: -0.22 [-0.38 to -0.053]) and dopamine 3-O-sulfate levels (interferon-gamma: -0.15 [-0.26 to -0.036]). Serotonin (0.76 [0.34-1.2]) and dopamine 3-O-sulfate levels (0.63 [0.28-0.99]) were higher during recovery than in acute SARS-CoV-2 infection.

CONCLUSION

SARS-CoV-2 infection, inflammation, age and mental stress are key independent predictors of kynurenine pathway activity, which may influence serotonin availability. The catecholamine pathway was also affected in SARS-CoV-2 infection. Altered activity of these pathways may contribute to impaired mental health following COVID-19.

The EORTC QLU-C10D: the Hong Kong valuation study

OBJECTIVE

The EORTC QLU-C10D is a new preference-based measure derived from the EORTC QLQ-C30. Country-specific value sets are required to support the cost-utility analysis of cancer-related interventions. This study aimed to generate an EORTC QLU-C10 value set for Hong Kong (HK).

METHODS

A HK online panel was quota-sampled to achieve an adult general population sample representative by sex and age. Participants were invited to complete an online discrete choice experiment survey. Each participant was asked to complete 16 choice-pairs, randomly assigned from a total of 960 choice-pairs, each comprising two QLU-C10D health states and a duration attribute. Conditional and mixed logistic regression analyses were used to analyse the data.

RESULTS

The analysis included data from 1041 respondents who had successfully completed the online survey. The distribution of sex did not differ from that of the general population, but a significant difference was found among age groups. A weighting analysis for non-representative variable (age) was used. Utility decrements were generally monotonic, with the largest decrements for physical functioning (- 0.308), role functioning (- 0.165), and pain (- 0.161). The mean QLU-C10D utility score of the participants was 0.804 (median = 0.838, worst to best = - 0.169 to 1). The value of the worst health state was - 0.223, which was sufficiently lower than 0 (being dead).

CONCLUSIONS

This study established HK utility weights for the QLU-C10D, which can facilitate cost-utility analyses across cancer-related health programmes and technologies.

Usability of Electronic Patient-Reported Outcome Measures for Older Patients With Cancer: Secondary Analysis of Data from an Observational Single Center Study

BACKGROUND

Patient-reported outcomes are considered the gold standard for assessing subjective health status in oncology patients. Electronic assessment of patient-reported outcomes (ePRO) has become increasingly popular in recent years in both clinical trials and practice. However, there is limited evidence on how well older patients with cancer can complete ePRO assessments.

OBJECTIVE

We aimed to investigate how well adult patients with cancer of different age ranges could complete ePRO assessments at home and in a treatment facility and to identify factors associated with the ability to complete questionnaires electronically.

METHODS

This retrospective longitudinal single-center study involved survivors of cancer who participated in inpatient rehabilitation. Patients completed ePRO assessments before rehabilitation at home (T1) and after rehabilitation at the facility (T2). We analyzed the rate of patients who could complete the ePRO assessment at T1 and T2, the proportion of patients who required assistance, and the time it took patients to complete standardized questionnaires. Multivariate logistic regression analyses were conducted to identify predictors of ePRO completion rate and the need for assistance.

RESULTS

Between 2017 and 2022, a total of 5571 patients were included in this study. Patients had a mean age of 60.3 (SD 12.2) years (range 18 to 93 years), and 1135 (20.3%) of them were classified as geriatric patients (>70 years). While more than 90% (5060/5571) of all patients completed the ePRO assessment, fewer patients in the age group of >70 years (924/1135, 81.4% at T1 vs 963/1135, 84.8% at T2) completed the assessment. Approximately 19% (1056/5571) of patients reported a need for assistance with the ePRO assessment at home, compared to 6.8% (304/4483) at the institution. Patients older than 70 years had a significantly higher need for assistance than those in younger age groups. Moreover, a gender difference was observed, with older women reporting a higher need for assistance than men (71-80 years: women requiring assistance 215/482, 44.6% vs men 96/350, 27.4%; P<.001 and >80 years: women 102/141, 72.3% vs men 57/112, 50.9%; P<.001). On average, patients needed 4.9 (SD 3.20) minutes to remotely complete a 30-item questionnaire (European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire) and patients in the older age groups took significantly longer compared to younger age groups. Lower age and higher physical functioning were the clearest predictors for both the ePRO completion rate and the need for assistance in the multivariate regression analysis.

CONCLUSIONS

This study's results indicate that ePRO assessment is feasible in older individuals with cancer, but older patients may require assistance (eg, from relatives) to complete home-based assessments. It may be more feasible to conduct assessments in-house in this population. Additionally, it is crucial to carefully consider which resources are necessary and available to support patients in using ePRO devices.

International validation of two EORTC questionnaires for assessment of health-related quality of life for patients with high-grade non-Hodgkin lymphoma (QLQ-NHL-HG29) and low-grade non-Hodgkin lymphoma (QLQ-NHL-LG20)

BACKGROUND

Health-related quality of life (HRQOL) is a critical aspect to consider when making treatment decisions for patients with non-Hodgkin-lymphoma (NHL). This international study by the European Organisation for Research and Treatment of Cancer (EORTC) tested the psychometric properties of two newly developed measures for patients with high-grade (HG)- and low-grade (LG)-NHL: the EORTC QLQ-NHL-HG29 and the EORTC QLQ-NHL-LG20 to supplement the core questionnaire (EORTC QLQ-C30).

METHODS

Overall, 768 patients with HG-NHL (N = 423) and LG-NHL (N = 345) from 12 countries completed the QLQ-C30, QLQ-NHL-HG29/QLQ-NHL-LG20 and a debriefing questionnaire at baseline, and a subset at follow-up for either retest (N = 125/124) or responsiveness to change (RCA; N = 98/49).

RESULTS

Confirmatory factor analysis showed an acceptable to good fit of the 29 items of the QLQ-NHL-HG29 on its five scales (symptom burden [SB], neuropathy, physical condition/fatigue [PF], emotional impact [EI], and worries about health/functioning [WH]), and of the 20 items of the QLQ-NHL-LG20 on its four scales (SB, PF, EI, and WH). Completion took on average 10 minutes. Test-retest reliability, convergent validity, known-group comparisons, and RCA find satisfactory results of both measures. A total of 31%-78% of patients with HG-NHL and 22%-73% of patients with LG-NHL reported symptoms and/or worries (e.g., tingling in hands/feet, lack of energy, and worries about recurrence). Patients reporting symptoms/worries had substantially lower HRQOL compared to those without.

DISCUSSION

The use of the EORTC QLQ-NHL-HG29 and QLQ-NHL-LG20 questionnaires in clinical research and practice will provide clinically relevant data to better inform treatment decision-making.

PLAIN LANGUAGE SUMMARY

The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group developed two questionnaires. These questionnaires measure health-related quality of life. The questionnaires are for patients with high-grade or low-grade non-Hodgkin lymphoma. They are called the EORTC QLQ-NHL-HG29 and QLQ-NHL-LG20. The questionnaires are now internationally validated. This study demonstrates that the questionnaires are reliably and valid, which are important aspects of a questionnaire. The questionnaires can now be used in clinical trials and practice. With the information gathered from the questionnaires, patients and clinicians can better evaluate treatments and discuss the best choice for a patient.

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.

A double-pointed wooden throwing stick from Schöningen, Germany: Results and new insights from a multianalytical study

The site of Schöningen (Germany), dated to ca. 300,000 years ago, yielded the earliest large-scale record of humanly-made wooden tools. These include wooden spears and shorter double-pointed sticks, discovered in association with herbivores that were hunted and butchered along a lakeshore. Wooden tools have not been systematically analysed to the same standard as other Palaeolithic technologies, such as lithic or bone tools. Our multianalytical study includes micro-CT scanning, 3-dimensional microscopy, and Fourier transform infrared spectroscopy, supporting a systematic technological and taphonomic analysis, thus setting a new standard for wooden tool analysis. In illustrating the biography of one of Schöningen's double-pointed sticks, we demonstrate new human behaviours for this time period, including sophisticated woodworking techniques. The hominins selected a spruce branch which they then debarked and shaped into an aerodynamic and ergonomic tool. They likely seasoned the wood to avoid cracking and warping. After a long period of use, it was probably lost while hunting, and was then rapidly buried in mud. Taphonomic alterations include damage from trampling, fungal attack, root damage and compression. Through our detailed analysis we show that Middle Pleistocene humans had a rich awareness of raw material properties, and possessed sophisticated woodworking skills. Alongside new detailed morphometrics of the object, an ethnographic review supports a primary function as a throwing stick for hunting, indicating potential hunting strategies and social contexts including for communal hunts involving children. The Schöningen throwing sticks may have been used to strategically disadvantage larger ungulates, potentially from distances of up to 30 metres. They also demonstrate that the hominins were technologically capable of capturing smaller fast prey and avian fauna, a behaviour evidenced at contemporaneous Middle Pleistocene archaeological sites.

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules

Knowledge graph embedding models have gained significant attention in AI research. The aim of knowledge graph embedding is to embed the graphs into a vector space in which the structure of the graph is preserved. Recent works have shown that the inclusion of background knowledge, such as logical rules, can improve the performance of embeddings in downstream machine learning tasks. However, so far, most existing models do not allow the inclusion of rules. We address the challenge of including rules and present a new neural based embedding model (LogicENN). We prove that LogicENN can learn every ground truth of encoded rules in a knowledge graph. To the best of our knowledge, this has not been proved so far for the neural based family of embedding models. Moreover, we derive formulae for the inclusion of various rules, including (anti-)symmetric, inverse, irreflexive and transitive, implication, composition, equivalence and negation. Our formulation allows to avoid grounding for implication and equivalence relations. Our experiments show that LogicENN outperforms the existing models in link prediction.

Remote EPID-based dosimetric auditing using DVH patient dose analysis

Objective.The aim of this work was to develop and validate a method for remote dosimetric auditing that enables dose-volume histogram parameter comparisons of measured and planned dose in the patient CT volume.Approach. The method is derived by adapting and combining a remote electronic portal imaging (EPID) based auditing method (Virtual Epid based Standard Phantom Audit-VESPA) and a method to estimate 3D in-patient dose distributions from planar dosimetric measurements. The method was tested with a series of error-induced plans including monitor unit and multileaf collimator (MLC) positioning errors. A pilot audit study was conducted with eleven radiotherapy centres. IMRT plans from two clinical trials, a post-prostatectomy (RAVES trial) plan and a head and neck (HPV trial) plan were utilized. Clinically relevant DVH parameters for the planned dose and estimated measured dose were compared.Main results. The method was found to reproduce the induced dose errors within 0.5% and was sensitive to MLC positioning errors as small as 0.5 mm. For the RAVES plan audit all DVH results except one were within 3% and for the HPV plan audit all DVH results were within 3% except three with a maximum difference of 3.2%.Significance. The results from the audit method produce clinically meaningful DVH metrics for the audited plan and could enable an improved understanding of a centre's radiotherapy quality.

Disagreement between mothers' and fathers' rating of health-related quality of life in children with cancer

PURPOSE

Serial assessment of health condition based on self-report made by children and their proxies has consistently shown a lack of congruence. The study explored the discrepancies between mother's, father's, and children's reports on health-related quality of life (HRQOL) during the first two months of pediatric cancer treatment.

METHODS

In this cohort study, children and parents completed the generic and cancer-specific Pediatric Quality-of-Life Inventory (PedsQL) questionnaires at initial diagnosis and in the subsequent months. Evaluation of discrepancies included intraclass correlations between mother-child and father-child dyads at different domain levels.

RESULTS

Thirty-six children with a diagnosis of cancer between May 2020 and November 2021 and their parents were included in this study. At diagnosis, mother-child dyads showed better agreement on more domains of the PedsQL Generic Core Scale than father-child dyads; moderate agreement persisted for both parents at subsequent time points on the physical domain. The disease-specific PedsQL Cancer Module revealed moderate and better agreement for mother-child dyads during active cancer therapy. In particular, agreement of mother-child dyads was pronounced for domains such as worry (0.77 [95% CI 0.52-0.89, P < 0.001]), whereas fathers tended to overestimate the child's symptom burden for most of the remaining domains of the PedsQL Cancer Module.

CONCLUSION

This cohort study shows that both parent proxy reports can provide valid information on child's HRQOL, but that fathers tend to overestimate, particularly for non-observable domains. Proxy reports derived from mothers more closely agreed with children's HRQOL and might be more weighted, if there is uncertainty between parents.

Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

The heterogeneity in recently published knowledge graph embedding models' implementations, training, and evaluation has made fair and thorough comparisons difficult. To assess the reproducibility of previously published results, we re-implemented and evaluated 21 models in the PyKEEN software package. In this paper, we outline which results could be reproduced with their reported hyper-parameters, which could only be reproduced with alternate hyper-parameters, and which could not be reproduced at all, as well as provide insight as to why this might be the case. We then performed a large-scale benchmarking on four datasets with several thousands of experiments and 24,804 GPU hours of computation time. We present insights gained as to best practices, best configurations for each model, and where improvements could be made over previously published best configurations. Our results highlight that the combination of model architecture, training approach, loss function, and the explicit modeling of inverse relations is crucial for a model's performance and is not only determined by its architecture. We provide evidence that several architectures can obtain results competitive to the state of the art when configured carefully. We have made all code, experimental configurations, results, and analyses available at https://github.com/pykeen/pykeen and https://github.com/pykeen/benchmarking.

Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO's and Advanced Virgo's Third Observing Run

We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2  M_{⊙} and 1.0  M_{⊙} in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend our previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio q≥0.1. We do not report any gravitational-wave candidates. The most significant trigger has a false alarm rate of 0.14  yr^{-1}. This implies an upper limit on the merger rate of subsolar binaries in the range [220-24200]  Gpc^{-3} yr^{-1}, depending on the chirp mass of the binary. We use this upper limit to derive astrophysical constraints on two phenomenological models that could produce subsolar-mass compact objects. One is an isotropic distribution of equal-mass primordial black holes. Using this model, we find that the fraction of dark matter in primordial black holes in the mass range 0.2  M_{⊙}<m_{PBH}<1.0  M_{⊙} is f_{PBH}≡Ω_{PBH}/Ω_{DM}≲6%. This improves existing constraints on primordial black hole abundance by a factor of ∼3. The other is a dissipative dark matter model, in which fermionic dark matter can collapse and form black holes. The upper limit on the fraction of dark matter black holes depends on the minimum mass of the black holes that can be formed: the most constraining result is obtained at M_{min}=1  M_{⊙}, where f_{DBH}≡Ω_{DBH}/Ω_{DM}≲0.003%. These are the first constraints placed on dissipative dark models by subsolar-mass analyses.

Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

BACKGROUND

Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications.

METHODS

We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC).

FINDINGS

In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]).

INTERPRETATION

In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required.

FUNDING

British Journal of Surgery Society.

Use of Daily Patient-Reported Outcome Measurements in Pediatric Cancer Care

IMPORTANCE

Patient-reported outcome measurements (PROMs) are emerging as an important component of adult cancer care, but little has been done with regard to PROMs for pediatric cancer care.

OBJECTIVES

To identify pediatric patients with cancer who are at risk of severe adverse effects of treatment and provide individualized supportive care using PROMs.

DESIGN, SETTING, AND PARTICIPANTS

This single-center cohort study with PROMs implemented in daily clinical routine was conducted from May 1, 2020, to November 15, 2021, among pediatric patients with a cancer diagnosis or their proxies. Inclusion criteria were treatment with chemotherapy and at least 30 days of active participation. Patients were followed up until completion of therapy or through ongoing therapy until November 15, 2021; data were analyzed from November 15, 2021, through January 31, 2022.

EXPOSURES

Cancer treatment, including chemotherapy, surgery, and radiotherapy.

MAIN OUTCOMES AND MEASURES

The primary outcome was occurrence and severity of ubiquitous complications of cancer treatment, such as nausea, appetite loss, pain, sleep disturbance, and deterioration of physical functioning. The secondary outcome was the identification of early and appropriate clinical interventions based on detection of cancer-related symptoms via PROMs.

RESULTS

A total of 4410 daily PROMs from 7082 therapy days for 40 children (35 children aged 5-18 years and 5 proxies for children aged 1-4 years) (median age, 9.1 [IQR, 6.3-12.2] years; 26 [65.0%] male) were analyzed during a median follow-up of 145.5 (IQR, 103.8-244.5) days. All participants were White. The overall median completion rate was 60.1% (IQR, 37.9%-81.0%); this rate was slightly lower during home care vs inpatient stay (57.5% [IQR, 30.7%-85.9%] vs 65.0% [IQR, 49.6%-92.5%], respectively; P = .01), with a decreasing trend over time (65.6% [IQR, 51.6%-85.9%] for the first 90 days vs 42.9% [IQR, 29.3%-82.3%] for beyond 90 days; P < .001). Severe symptoms were reported on 657 days (14.9%); most symptoms were associated with physical functioning, followed by pain, sleep disturbance, and nausea and appetite loss. In total, 321 adverse events (AEs) and cases of health deterioration were documented, and PROMs were completed for 251 (78.2%) of these events. Across all AEs, self-reported pain was the most useful marker, particularly when analyzed on the day before onset, and was associated with an odds ratio of 3.65 (95% CI, 1.54-8.62; P = .005) for the presence of mucositis.

CONCLUSIONS AND RELEVANCE

The findings of this cohort study suggest that PROMs reflect daily symptoms in pediatric patients with cancer and assist in clinical management and intervention for AEs.

Surface guided radiation therapy: An international survey on current clinical practice

Introduction

Surface Guided Radiation Therapy (SGRT) is being increasingly implemented into clinical practice across a number of techniques and irradiation-sites. This technology, which is provided by different vendors, can be used with most simulation- and delivery-systems. However, limited guidelines and the complexity of clinical settings have led to diverse patterns of operation. With the aim to understand current clinical practice a survey was designed focusing on specifics of the clinical implementation and usage.

Materials and methods

A 32-question survey covered: type and number of systems, quality assurance (QA), clinical workflows, and identification of strengths/limitations. Respondents from different professional groups and countries were invited to participate. The survey was distributed internationally via ESTRO-membership, social media and vendors.

Results

Of the 278 institutions responding, 172 had at least one SGRT-system and 136 use SGRT clinically. Implementation and QA were primarily based on the vendors' recommendations and phantoms. SGRT was mainly implemented in breast RT (116/136), with strong but diverse representation of other sites. Many (58/135) reported at least partial elimination of skin-marks and a third (43/126) used open-masks. The most common imaging protocol reported included the combination of radiographic imaging with SGRT. Patient positioning (115/136), motion management (104/136) and DIBH (99/136) were the main applications.Main barriers to broader application were cost, system integration issues and lack of demonstrated clinical value. A lack of guidelines in terms of QA of the system was highlighted.

Conclusions

This overview of the SGRT status has the potential to support users, vendors and organisations in the development of practices, products and guidelines.

ESTRO-ACROP guideline on surface guided radiation therapy

Surface guidance systems enable patient positioning and motion monitoring without using ionising radiation. Surface Guided Radiation Therapy (SGRT) has therefore been widely adopted in radiation therapy in recent years, but guidelines on workflows and specific quality assurance (QA) are lacking. This ESTRO-ACROP guideline aims to give recommendations concerning SGRT roles and responsibilities and highlights common challenges and potential errors. Comprehensive guidelines for procurement, acceptance, commissioning, and QA of SGRT systems installed on computed tomography (CT) simulators, C-arm linacs, closed-bore linacs, and particle therapy treatment systems are presented that will help move to a consensus among SGRT users and facilitate a safe and efficient implementation and clinical application of SGRT.

Usability evaluation of the Computer-Based Health Evaluation System (CHES) eDiary for patients with faecal incontinence: a pilot study

Background

Faecal incontinence (FI) is prevalent in 15–20% of elderly individuals and is frequently monitored in clinical trials and practice. Bowel diaries are the most common way to document FI, but, in clinical practice, are mainly used as paper-based versions. Electronic diaries (eDiaries) offer many potential benefits over paper-based diaries. The aim of this study was to develop and test an eDiary to document FI.

Methods

We migrated a paper FI diary to an eDiary app based on the Computer-based Health Evaluation System (CHES). To assess usability, we conducted functionality and usability tests at two time points in a sample of patients with FI. In the first assessment, the eDiary functionalities were tested, patients completed the System Usability Scale (SUS, range 0–100) and compared the paper diary with the eDiary. We set a threshold for minimum acceptable average usability at 70 points. Patients were then instructed to use the eDiary for 2 days at home and contacted to report on their usage and completed the SUS a second time.

Results

We recruited a sample of N = 14 patients to use the eDiary. All patients were able to use all functionalities of the eDiary and only a few patients with lower technological literacy or access to devices (n = 3) needed initial assistance. The mean usability rating given at the first time point was high with 88 points (SD 18, 95% CI 78.2–96.8) and most patients (n = 10) reported they would prefer the eDiary over the paper-based version. Nine patients (n = 9) participated in the follow-up assessment and the mean SUS rating at the second time point was 97 points (SD 7, 95% CI 92.8–100).

Conclusion

The eDiary showed excellent usability scores for the assessment of FI at both assessments. Generally, patients preferred the eDiary over the paper-based version. We recommend the eDiary for usage with patients who own and use a smartphone and discuss potential solutions for patients with lower technological literacy or access.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-01818-5.

International validation of the EORTC QLQ-CLL17 questionnaire for assessment of health-related quality of life for patients with chronic lymphocytic leukaemia

Selecting the most appropriate chronic lymphocytic leukaemia (CLL) treatment is challenging. Patient-reported health-related quality of life (HRQoL) is therefore a critical aspect to consider. This international study by the European Organization for Research and Treatment of Cancer (EORTC) tested the psychometric properties of a newly developed measure for CLL patients: the EORTC QLQ-CLL17 to supplement the core questionnaire (EORTC QLQ-C30). Patients with CLL (n = 341) from 12 countries completed the QLQ-C30, QLQ-CLL17 and a debriefing questionnaire. Sociodemographic and clinical data were recorded from medical records. A high percentage (30%-66%) reported symptoms and/or worries (e.g. aches/pains in muscles, lack of energy and worry/fears about health). Confirmatory factor analysis showed an acceptable to good fit of the 17 items on the three scales (i.e. symptom burden, physical condition/fatigue and worries/fears about health and functioning). Completion took on average 8 min. Test-retest and convergent validity was demonstrated. The QLQ-CLL17 differentiated between patients with an Eastern Cooperative Oncology group (ECOG) performance of 0 versus 1-3 (p's < 0.01 and clinically relevant). The newly developed EORTC QLQ-CLL17 will increase sensitivity of HRQoL assessment in patients with CLL. Implementation of this questionnaire both in clinical research and practice will help to generate unique clinically relevant data to better inform CLL treatment decision-making.

Geometric morphometric analysis of morphologic disparity, intraspecific variation and ontogenetic allometry of beyrichitine ammonoids

Beyrichitine ammonoids of NV Nevada reveal a high taxonomic diversity of Anisian (Middle Triassic). This diversity is, however, in contrast to their relatively low morphologic disparity. Depending on the exact definition, morphologic disparity of a data set is a direct consequence of the sum of all ontogenetic changes. In the past, however, the interplay of both morphological processes has only rarely been addressed. Using geometric morphometric methods, this study aims at a quantification of allometric processes and the morphologic disparity of beyrichitine ammonoids. The multivariate statistical analysis revealed that morphologic disparity, intraspecific variation respectively, within and between the studied species seems to be the result of deviations in the ontogenetic allometric growth pattern (i.e. heterochrony). During deposition of the studied stratigraphic sequence, a general progressive pedomorphism (juvenilization) was observed. The intraspecific variability pattern coincides with the total morphologic disparity of the analyzed species, which suggests that intraspecific variability facilitated morphologic disparity. The comparison of ontogenetic allometric patterns and changes in intraspecific variation and morphologic disparity are likely to refine our understanding of the intrinsic factors influencing the speciation of this group.

[Factors influencing the choice of androgen deprivation therapy for patients with hormone-sensitive prostate cancer : Results of the ProComD study]

BACKGROUND

Androgen deprivation therapy (ADT) with a GnRH agonist or the GnRH antagonist degarelix is a central component in the treatment of prostate cancer (PCa). Little is currently known regarding the decision criteria. Knowledge of these could improve the success of treatment in the future.

OBJECTIVES

To identify factors influencing the treatment decision in patients with hormone-sensitive prostate cancer receiving ADT and to determine the incidence of concomitant disease in both treatment groups.

METHODS

The two-arm, prospective, non-interventional study "ProComD" was conducted from September 2014 to June 2019 at 80 study centers in Germany. After the therapy decision was made, patients with hormone-sensitive prostate cancer needing ADT were included in the study. Data were collected during routine visits.

RESULTS

Data from 413 patients were evaluated (degarelix N = 268; GnRH agonists N = 145). Key factors influencing the therapy decision for both treatment options included comorbidities (42% of all patients), compliance (64%), and age (81%). The source of information consulted most frequently regarding existing comorbidities was the patient's medical history conducted by the treating urologist themselves (65% in both groups). For patients with pre-existing cardiovascular diseases, the doctor's letter (45.8% degarelix vs. 38.9% GnRH agonists) or the medical history questionnaire (38.9% degarelix vs. 20% GnRH agonists) was additionally taken into account.

CONCLUSION

Comorbidities along with age and compliance are among the key factors influencing the treatment decisions made by urologists.

Clinical Outcome Assessment in Cancer Rehabilitation and the Central Role of Patient-Reported Outcomes

Simple Summary

After completion of acute cancer treatment, it is important to support patients in recovering physically and psychologically and to help them regain their social life. This is the goal of cancer rehabilitation. If we want to know which rehabilitation interventions are helpful, we must measure their effects. This can be done by asking clinicians, testing patients’ performance, observing their behaviors, or by asking patients directly about their experience. This paper focuses on reports from the patients. We give an overview of available questionnaires and offer advice regarding their use. Furthermore, we discuss how to integrate them into clinical practice and research. The most promising way to collect such data are electronic systems, which offer many advantages. The goal of assessing the patient perspective is to help patients, clinicians, and health insurance providers to decide which rehabilitation interventions suit patients’ needs, and therefore, which ones should be chosen and reimbursed.

Abstract

The aim of cancer rehabilitation is to help patients regain functioning and social participation. In order to evaluate and optimize rehabilitation, it is important to measure its outcomes in a structured way. In this article, we review the different types of clinical outcome assessments (COAs), including Clinician-Reported Outcomes (ClinROs), Observer-Reported Outcomes (ObsROs), Performance Outcomes (PerfOs), and Patient-Reported Outcomes (PROs). A special focus is placed on PROs, which are commonly defined as any direct report from the patient about their health condition without any interpretation by a third party. We provide a narrative review of available PRO measures (PROMs) for relevant outcomes, discuss the current state of PRO implementation in cancer rehabilitation, and highlight trends that use PROs to benchmark value-based care. Furthermore, we provide examples of PRO usage, highlight the benefits of electronic PRO (ePRO) collection, and offer advice on how to select, implement, and integrate PROs into the cancer rehabilitation setting to maximize efficiency.

Implementation of daily patient-reported outcome measurements to support children with cancer

BACKGROUND

Several stakeholders, including patients and health care providers, suggest symptom self-reporting measurements for a more patient-directed cancer control approach. However, services tailored to measure daily reporting and implementing it in clinical care are lacking. This study aimed to evaluate the feasibility and value of daily patient-reported outcome measures (PROMs) by children receiving chemotherapy for cancer.

METHODS

Health status was recorded daily with a web-based child-friendly patient portal (ePROtect). Following aspects of feasibility and usability were assessed: (a) the completion rate and time, (b) user feedback on usability and satisfaction, and (c) the performed interventions if moderate to severe symptom deterioration was noted.

RESULTS

Twelve children (median age: 7.2 years) were included. A total number of 891 daily reports were collected during the study period; the median percentage of ePROtect completion days was 85.3% (interquartile range [IQR] 64.2-100.0) and 55.9% (IQR 51.9-76.9) for inpatient and outpatient stay, respectively. Mean time to complete the questionnaire was 47.6 seconds. Severe symptoms were reported in 14.7% of measurement time points, which led to prompt health care interventions in 57 cases, including extension of supportive care (n = 37) and pre-emptive inpatient admissions (n = 5). Over 80% of the patients (10/12) and their proxies (16/18) provided feedback with high rating for satisfaction (>90%) and usefulness (>80%) of ePROtect.

CONCLUSION

Our study shows that daily symptom monitoring is feasible for all children with newly diagnosed cancer aged 5-18 years. Monitoring offers the opportunity to identify symptoms early and trigger appropriate clinical action.

The Attitude towards Polypills Questionnaire (APPQ): a phase I-III development and validation study in patients with cerebrovascular disease

Background and purpose

The polypill approach has been proposed to reduce patients’ pill burden, increase medication adherence and lower stroke incidence. However, little is known about patients’ attitudes towards polypills for cerebrovascular medication.

Methods

Based on the European Organization for Research and Treatment of Cancer Quality of Life Group questionnaire development guidelines, a questionnaire to measure patients’ attitudes towards polypills for the secondary prevention of stroke (phase I–III) was developed. In phase I, issues were generated via literature review and interviews with patients and healthcare professionals. The issues were operationalized into items in phase II. In phase III the questionnaire was validated in a large single‐centre sample, and test–retest and internal validity were evaluated.

Results

In phase I, 34 relevant issues were identified through literature search and interviews. Pre‐testing the questionnaire indicated high applicability and comprehensibility. The final Attitudes towards Polypills Questionnaire was tested in N = 260 patients and showed a two‐factor structure. The factors were labelled ‘concerns’ and ‘benefits’. The scales showed acceptable and good internal validity (concerns, Cronbach's α = 0.85; benefits, α = 0.93), but the scales’ test–retest validity was ambiguous. On a 0 to 3 rating scale, concerns were rated lower than benefits (mean 1.07, SD 0.69 vs. mean 1.87, SD 0.89).

Conclusions

The Attitudes towards Polypills Questionnaire showed high comprehensibility and content validity to assess German language patients’ attitudes towards a polypill medication. Our data and questionnaire may aid the implementation of polypill treatments in clinical practice and can be used in the design of future clinical trials on polypill therapy. Further validation of the questionnaire is advised.

Bridging the gap in outpatient care: Can a daily patient-reported outcome measure help?

BACKGROUND

Childhood patients have high risks for developing debilitating somatic and mental health side-effects as a consequence of the many different approaches employed in treating their cancer. Early recognition and close monitoring of clinical and psychological problems are essential in planning appropriate interventions and preventing further deterioration.

CASE

ePROtect was established as an easy-to-use application for daily self-reporting of symptoms during cancer therapy. ePROtect includes six to eight questions pertaining to seven common symptoms: appetite loss, fatigue, nausea, pain, physical functioning, cognitive impairments and sleep quality. The case of a child diagnosed with Burkitt leukemia developing chemotherapy-induced oral mucositis in home care is presented to show the therapeutic impact of early symptom detection with a daily web-based tool.

CONCLUSION

This case highlights how electronic patient-reported outcome measures (PROM) can directly facilitate patient care in real time and might be incorporated in future clinical routine.

Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

Using the Computer-based Health Evaluation System (CHES) to Support Self-management of Symptoms and Functional Health: Evaluation of Hematological Patient Use of a Web-Based Patient Portal

Background

Patient portals offer the possibility to assess patient-reported outcome measures (PROMs) remotely, and first evidence has demonstrated their potential benefits.

Objective

In this study, we evaluated patient use of a web-based patient portal that provides patient information and allows online completion of PROMs. A particular focus was on patient motivation for (not) using the portal. The portal was developed to supplement routine monitoring at the Department of Internal Medicine V in Innsbruck.

Methods

We included patients with multiple myeloma and chronic lymphocytic leukemia who were already participating in routine monitoring at the hospital for use of the patient portal. Patients were introduced to the portal and asked to complete questionnaires prior to their next hospital visits. We used system access logs and 3 consecutive semistructured interviews to analyze patient use and evaluation of the portal.

Results

Between July 2017 and August 2020, we approached 122 patients for participation in the study, of whom 83.6% (102/122) consented to use the patient portal. Patients were on average 60 (SD 10.4) years old. Of patients providing data at all study time points, 37% (26/71) consistently used the portal prior to their hospital visits. The main reason for not completing PROMs was forgetting to do so in between visits (25/84, 29%). During an average session, patients viewed 5.3 different pages and spent 9.4 minutes logged on to the portal. Feedback from interviews was largely positive with no patients reporting difficulties navigating the survey and 50% of patients valuing the self-management tools provided in the portal. Regarding the portal content, patients were interested in reviewing their own results and reported high satisfaction with the dynamic self-management advice, also reflected in the high number of clicks on those pages.

Conclusions

Patient portals can contribute to patient empowerment by offering sought-after information and self-management advice. In our study, the majority of our patients were open to using the portal. The low number of technical complaints and average time spent in the portal demonstrate the feasibility of our patient portal. While initial interest was high, long-term use was considerably lower and identified as the main area for improvement. In a next step, we will improve several aspects of the patient portal (eg, including a reminder to visit the portal before the next appointment and closer PROM symptom monitoring via an onconurse).

The cancer patient's perspective of COVID-19-induced distress-A cross-sectional study and a longitudinal comparison of HRQOL assessed before and during the pandemic

Background

To permit timely mitigation of adverse effects on overall clinical outcome, it is essential to understand how the pandemic influences distress and health‐related quality of life (HRQOL) in cancer patients during the coronavirus disease 2019 (COVID‐19) pandemic.

Methods

In this cross‐sectional study, adult cancer patients, without COVID‐19 symptoms, completed a 13‐item questionnaire about the pandemic's impacts on distress and everyday‐life; associations with age, sex, or impaired HRQOL were then assessed by binary logistic regressions. In a subsample of patients with HRQOL assessment available from both before and during the pandemic, we evaluated the pandemic's impact on longitudinal changes in HRQOL reported within 6 months before versus during the COVID‐19 lockdown using McNemar's test, and thresholds for clinical importance.

Results

We consecutively enrolled 240 patients with solid (50%) or hematological (50%) cancers. Median age was 67 years, 46% were females. The majority ranked heeding their health (80%) and keeping their appointment schedule in hospital (78%) as important. Being younger than 60, or aged 60–70 was independently associated with limitations in everyday life (OR = 3.57, p < 0.001; and 2.05, p = 0.038); female individuals and those with restricted emotional functioning were more distressed by the COVID‐19 situation (OR = 2.47, p = 0.040; and 3.17, p = 0.019); the latter group was also significantly more concerned about being a patient at risk (OR = 2.21, p = 0.029). Interestingly, in a subsample of patients (n = 47), longitudinal comparisons pre‐ versus during the pandemic revealed that HRQOL was not substantially affected by the pandemic.

Conclusion

Particularly younger and female cancer patients, and those with impaired emotional functioning are distressed by COVID‐19. During the first COVID‐19 lockdown, cancer patients remained predominantly resilient. This analysis highlights the need to mitigate distress situations in vulnerable patients and thereby enhance resilience during pandemics.

CLEP: A Hybrid Data- and Knowledge- Driven Framework for Generating Patient Representations

Summary

As machine learning and artificial intelligence increasingly attain a larger number of applications in the biomedical domain, at their core, their utility depends on the data used to train them. Due to the complexity and high dimensionality of biomedical data, there is a need for approaches that combine prior knowledge around known biological interactions with patient data. Here, we present CLinical Embedding of Patients (CLEP), a novel approach that generates new patient representations by leveraging both prior knowledge and patient-level data. First, given a patient-level dataset and a knowledge graph containing relations across features that can be mapped to the dataset, CLEP incorporates patients into the knowledge graph as new nodes connected to their most characteristic features. Next, CLEP employs knowledge graph embedding models to generate new patient representations that can ultimately be used for a variety of downstream tasks, ranging from clustering to classification. We demonstrate how using new patient representations generated by CLEP significantly improves performance in classifying between patients and healthy controls for a variety of machine learning models, as compared to the use of the original transcriptomics data. Furthermore, we also show how incorporating patients into a knowledge graph can foster the interpretation and identification of biological features characteristic of a specific disease or patient subgroup. Finally, we released CLEP as an open source Python package together with examples and documentation.

Availability and implementation

CLEP is available to the bioinformatics community as an open source Python package at https://github.com/hybrid-kg/clep under the Apache 2.0 License.

Supplementary information

Supplementary data are available at Bioinformatics online.

Functional health and symptoms in Spain before and during the COVID-19 pandemic

BACKGROUND

The impact of the coronavirus disease (COVID-19) pandemic on wellbeing and health has so far been studied using mostly cross-sectional designs. To place recent findings into context, we compared symptoms and functional health status in two independent samples assessed before and during the COVID-19 pandemic.

METHODS

Participants were recruited via an online panel using quota sampling. We assessed symptoms, functional health, and global quality of life with the EORTC QLQ-C30 in two general population samples in Spain (collected in July 2019 and April 2020). We also assessed several COVID-19 related variables, such as adherence to social distancing.

RESULTS

Data from N = 1010 participants before the pandemic (mean age 47.1 years, 50.5% female) were compared with data from N = 504 participants during the pandemic (mean age 47.1 years, 50.8% female). Participants during the pandemic (vs. before the pandemic) reported lower role functioning and emotional functioning, as well as less symptom burden. A lower degree of social distancing was associated with better functional health and lower symptom burden.

CONCLUSION

Our findings indicate an impact of the COVID-19 pandemic on functional health and symptom burden in the Spanish general population. The comparison of before and during the pandemic can be used to benchmark results raised only during the pandemic.

Machine learning in oncology—Perspectives in patient-reported outcome research

Background

Increasing data volumes in oncology pose new challenges for data analysis. Machine learning, a branch of artificial intelligence, can identify patterns even in very large and less structured datasets.

Objective

This article provides an overview of the possible applications for machine learning in oncology. Furthermore, the potential of machine learning in patient-reported outcome (PRO) research is discussed.

Materials and methods

We conducted a selective literature search (PubMed, MEDLINE, IEEE Xplore) and discuss current research.

Results

There are three primary applications for machine learning in oncology: (1) cancer detection or classification; (2) overall survival prediction or risk assessment; and (3) supporting therapy decision-making and prediction of treatment response. Generally, machine learning approaches in oncology PRO research are scarce and few studies integrate PRO data into machine learning models.

Discussion

Machine learning is a promising area of oncology, but few models have been transferred into clinical practice. The promise of personalized cancer therapy and shared decision-making through machine learning has yet to be realized. As an equally important emerging research area in oncology, PROs should also be incorporated into machine learning approaches. To gather the data necessary for this, broad implementation of PRO assessments in clinical practice, as well as the harmonization of existing datasets, is suggested.