A benchmarking study of copy number variation inference methods using single-cell RNA-sequencing data.

Background: Single-cell RNA-sequencing (scRNA-seq) has emerged as a powerful tool for cancer research, enabling in-depth characterization of tumor heterogeneity at the single-cell level. Recently, several scRNA-seq copy number variation (scCNV) inference methods have been developed, expanding the application of scRNA-seq to study genetic heterogeneity in cancer using transcriptomic data. However, the fidelity of these methods has not been investigated systematically.

Value of using artificial intelligence derived clusters by health and social care need in primary care: A qualitative interview study with patients living with multiple long-term conditions, carers and health care professionals.

Background: People living with MLTCs attending primary care often have unmet social care needs (SCNs), which can be challenging to identify and address. Artificial intelligence (AI) derived clusters could help to identify patients at risk of SCNs. Evidence is needed on views about the use of AI-derived clusters, to inform acceptable and meaningful implementation within interventions.

Experiences of Using a Digital Text Messaging Intervention to Support Oral Medication Adherence for People Living With Type 2 Diabetes: Qualitative Process Evaluation.

Background: Poor adherence to oral medications for type 2 diabetes can increase the risk of health complications. Digital interventions can affect people's experiences of self-managing a chronic condition, and SMS text messages may provide an effective delivery method for an intervention. The Support Through Mobile Messaging and Digital Health Technology for Diabetes (SuMMiT-D) intervention uses evidence-based SMS text messages to support people with type 2 diabetes with regular and consistent use of diabetes medication.

SPIRIT 2025 statement: updated guideline for protocols of randomized trials.

The protocol of a randomized trial is the foundation for study planning, conduct, reporting and external review. However, trial protocols vary in their completeness and often do not address key elements of design and conduct. The SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement was first published in 2013 as guidance to improve the completeness of trial protocols.

SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials.

High quality protocols facilitate proper planning, conduct, reporting, and external review of randomised trials, yet their completeness varies and key elements are often not considered. To strengthen good reporting of trial protocols, the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2013 statement has been updated to incorporate new evidence and emerging perspectives. This SPIRIT 2025 explanation and elaboration document provides users with exemplars of reporting in contemporary trial protocols, contextual elaboration, more detailed guidance on reporting, references to key empirical studies, an expanded checklist, and a link to a website for further information.

SPIRIT 2025 statement: updated guideline for protocols of randomised trials.

Importance: The protocol of a randomised trial is the foundation for study planning, conduct, reporting, and external review. However, trial protocols vary in their completeness and often do not address key elements of design and conduct. The SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement was first published in 2013 as guidance to improve the completeness of trial protocols.

SPIRIT 2025 Statement: Updated Guideline for Protocols of Randomized Trials.

Importance: The protocol of a randomized trial is the foundation for study planning, conduct, reporting, and external review. However, trial protocols vary in their completeness and often do not address key elements of design and conduct. The SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement was first published in 2013 as guidance to improve the completeness of trial protocols.

SPIRIT 2025 statement: Updated guideline for protocols of randomised trials.

Importance: The protocol of a randomised trial is the foundation for study planning, conduct, reporting, and external review. However, trial protocols vary in their completeness and often do not address key elements of design and conduct. The SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement was first published in 2013 as guidance to improve the completeness of trial protocols.

CONSORT 2025 statement: updated guideline for reporting randomised trials.

Well designed and properly executed randomised trials are considered the most reliable evidence on the benefits of healthcare interventions. However, there is overwhelming evidence that the quality of reporting is not optimal. The CONSORT (Consolidated Standards of Reporting Trials) statement was designed to improve the quality of reporting and provides a minimum set of items to be included in a report of a randomised trial.

Reducing inequalities through greater diversity in clinical trials - As important for medical devices as for drugs and therapeutics.

In medicine and public health, the randomised controlled trial (RCT) is generally considered the key generator of 'gold standard' evidence. However, basic and clinical research and trials are often unrepresentative of real-world populations. Recruiting insufficiently diverse cohorts of participants in trials (e.

CONSORT 2025 statement: updated guideline for reporting randomized trials.

Well-designed and properly executed randomized trials are considered the most reliable evidence on the benefits of healthcare interventions. However, there is overwhelming evidence that the quality of reporting is not optimal. The CONSORT (Consolidated Standards of Reporting Trials) statement was designed to improve the quality of reporting and provides a minimum set of items to be included in a report of a randomized trial.

CONSORT 2025 statement: updated guideline for reporting randomised trials.

Background: Well designed and properly executed randomised trials are considered the most reliable evidence on the benefits of healthcare interventions. However, there is overwhelming evidence that the quality of reporting is not optimal. The CONSORT (Consolidated Standards of Reporting Trials) statement was designed to improve the quality of reporting and provides a minimum set of items to be included in a report of a randomised trial.

CONSORT 2025 explanation and elaboration: updated guideline for reporting randomised trials.

Critical appraisal of the quality of randomised trials is possible only if their design, conduct, analysis, and results are completely and accurately reported. Without transparent reporting of the methods and results, readers will not be able to fully evaluate the reliability and validity of trial findings. The CONSORT (Consolidated Standards of Reporting Trials) statement aims to improve the quality of reporting and provides a minimum set of items to be included in a report of a randomised trial.

CONSORT 2025 Statement: Updated Guideline for Reporting Randomized Trials.

Importance: Well-designed and properly executed randomized trials are considered the most reliable evidence on the benefits of health care interventions. However, there is overwhelming evidence that the quality of reporting is not optimal. The CONSORT (Consolidated Standards of Reporting Trials) statement was designed to improve the quality of reporting and provides a minimum set of items to be included in a report of a randomized trial.

CONSORT 2025 statement: Updated guideline for reporting randomised trials.

Background: Well designed and properly executed randomised trials are considered the most reliable evidence on the benefits of healthcare interventions. However, there is overwhelming evidence that the quality of reporting is not optimal. The CONSORT (Consolidated Standards of Reporting Trials) statement was designed to improve the quality of reporting and provides a minimum set of items to be included in a report of a randomised trial.

A five-drug class model using routinely available clinical features to optimise prescribing in type 2 diabetes: a prediction model development and validation study.

Background: Data to support individualised choice of optimal glucose-lowering therapy are scarce for people with type 2 diabetes. We aimed to establish whether routinely available clinical features can be used to predict the relative glycaemic effectiveness of five glucose-lowering drug classes.

Methods: We developed and validated a five-drug class model to predict the relative glycaemic effectiveness, in terms of absolute 12-month glycated haemoglobin (HbA), for initiating dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, sodium-glucose co-transporter-2 inhibitors, sulfonylureas, and thiazolidinediones.

Implementation of evidence-based foot screening in people with diabetes: A scoping review.

Background: Recommendations to prevent diabetes ulceration and amputation include an annual foot check, primarily screening for sensation and circulation. Using these simple, evidence-based components is vital to identifying complications early, assessing risk, and managing care to prevent or delay amputations. However, routine implementation of these assessments is suboptimal and approaches to their integration remain poorly understood.

Challenges and barriers to physician decision-making for prescribing and deprescribing among patients with multimorbidity in eastern China's primary care settings: a qualitative study.

Objectives: Patients with multimorbidity have an increased risk of medication-related problems. Physicians face the dilemmas of multimorbidity management with multiple medications in primary care settings. We aimed to investigate the experiences and perceptions of primary care physicians (PCPs) regarding their decision-making processes in prescribing and deprescribing medications for patients with multimorbidity, and identify the challenges and barriers they face.

The Digital Health Competencies in Medical Education Framework: An International Consensus Statement Based on a Delphi Study.

Importance: Rapid digitalization of health care and a dearth of digital health education for medical students and junior physicians worldwide means there is an imperative for more training in this dynamic and evolving field.

Objective: To develop an evidence-informed, consensus-guided, adaptable digital health competencies framework for the design and development of digital health curricula in medical institutions globally.

Evidence Review: A core group was assembled to oversee the development of the Digital Health Competencies in Medical Education (DECODE) framework.

The association of loneliness and social isolation with multimorbidity over 14 years in older adults in England: A population-based cohort study.

Background: Previous longitudinal studies have linked multimorbidity to loneliness (feeling alienated) and social isolation (having reduced social contact). However, the nature of these associations over time is unclear.

Objective: To examine bidirectional associations of multimorbidity with loneliness and social isolation over a 14-year follow-up in a nationally representative cohort of adults aged ≥ 50 years.

Seed color patterns in domesticated common bean are regulated by MYB-bHLH-WD40 transcription factors and temperature.

Seed colors and color patterns are critical for the survival of wild plants and the consumer appeal of crops. In common bean, a major global staple, these patterns are also essential in determining market classes, yet the genetic and environmental control of many pigmentation patterns remains unresolved. In this study, we genetically mapped variation for several important seed pattern loci, including T, Bip, p, and Z, which co-segregated with candidate genes PvTTG1, PvMYC1, PvTT8, and PvTT2, respectively.

Trajectories in long-term condition accumulation and mortality in older adults: a group-based trajectory modelling approach using the English Longitudinal Study of Ageing.

Objectives: To classify older adults into clusters based on accumulating long-term conditions (LTC) as trajectories, characterise clusters and quantify their associations with all-cause mortality.

Design: We conducted a longitudinal study using the English Longitudinal Study of Ageing over 9 years (n=15 091 aged 50 years and older). Group-based trajectory modelling was used to classify people into clusters based on accumulating LTC over time.