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jclinepi.bsky.social
Journal of Clinical Epidemiology
@jclinepi.bsky.social
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Metascience and innovative methods to improve population health Co-Editors-in-Chief: @andreatricco.bsky.social and @davidit.bsky.social Jclinepi.com Published by Elsevier
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Journal of Clinical Epidemiology @jclinepi.bsky.social · Nov 21
Have you ever published in the Journal of Clinical Epidemiology?
To connect our BlueSky community & promote the work of our authors, we started an #JClinEpi Authors Starter Pack.
If you've published with us and would like to be included, please reply with a short description of the paper and a link.
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Reposted by Journal of Clinical Epidemiology
maureenchats.bsky.social
Maureen Smith 🇨🇦 @maureenchats.bsky.social · 10d
Great to see this update has added perspectives « It builds up on a 2014 scoping review by our team and aims to enhance the usability, completeness, and transparency of NMA reporting for diverse audiences, including patients and the public. » @sporalliance.bsky.social
jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Updating the PRISMA reporting guideline for network meta-analysis: a scoping review - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Updating the PRISMA reporting guideline for network meta-analysis: a scoping review
This scoping review is the first step in updating the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for network meta-analysis (NMA). It builds up on a 2014 scop...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
The distinction between causal, predictive, and descriptive research—there is still room for improvement - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
The distinction between causal, predictive, and descriptive research—there is still room for improvement
It has been proposed that medical research questions can be categorised into three classes: causal, predictive, and descriptive. This distinction was proposed to encourage researchers to think clearly...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Peer review of prediction model studies in oncology needs improvement: a systematic review of open peer review reports from BMC journals - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Peer review of prediction model studies in oncology needs improvement: a systematic review of open peer review reports from BMC journals
To evaluate the completeness and quality of open peer review reports from BMC journals for regression-based clinical prediction model studies in oncology, focusing on adherence to methodological stand...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Living guidelines have come of age: new insights and methods—an open call for contributions - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Living guidelines have come of age: new insights and methods—an open call for contributions
Guideline developers have long recognized the importance of maintaining up-to-date guidelines to support evidence-based practice and policy, contributing to narrowing the gap between research generati...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Modelling rates of trial attrition: An analysis of individual participant data from 90 randomised controlled trials of pharmacological interventions for multiple conditions - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Modelling rates of trial attrition: An analysis of individual participant data from 90 randomised controlled trials of pharmacological interventions for multiple conditions
Trial attrition threatens the validity of randomised controlled trials (hereafter trials) and has implications for trial design, conduct and analysis. Few studies have examined how attrition rates cha...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
International Application of an Optimized Harmonization Approach for Longitudinal Cognitive Data in People with HIV - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
International Application of an Optimized Harmonization Approach for Longitudinal Cognitive Data in People with HIV
We previously developed a refined longitudinal data harmonization method to address the challenge of non-overlapping cognitive tests across cohorts, successfully harmonizing data from five large-scale...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Implementing a randomization consent to enable Trials within Cohorts (TwiCs) in the Swiss HIV Cohort Study – A mixed-methods study - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Implementing a randomization consent to enable Trials within Cohorts (TwiCs) in the Swiss HIV Cohort Study – A mixed-methods study
Trials within Cohorts (TwiCs) is a promising design to make randomized trials more efficient. Cohort participants are asked for consent to be randomized into future low-risk interventions tested withi...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Virtual versus in-person meetings for practice guideline panels: A qualitative study - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Virtual versus in-person meetings for practice guideline panels: A qualitative study
Traditionally, practice guidelines panel meetings were conducted in-person. During the COVID-19 pandemic, meetings transitioned to the virtual format. While guideline developers appreciated the increa...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
GRADE Notes 6: Three strategies to determine the clinically important thresholds for outcomes in evidence-based guideline development - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
GRADE Notes 6: Three strategies to determine the clinically important thresholds for outcomes in evidence-based guideline development
In evidence-based clinical practice guidelines (CPGs), the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach is commonly used to evaluate the certainty of evidence t...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Citizen Science as an Approach for Engaging Underrepresented Communities in Health Research to Generate Research Questions and Priorities - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Citizen Science as an Approach for Engaging Underrepresented Communities in Health Research to Generate Research Questions and Priorities
Engaging patients and public in health research ensures results remain relevant and responsive to community needs. However, meaningful engagement with underrepresented communities remains challenging,...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Developing risk prediction models for type 2 diabetes and assessing the role of circulating metabolic biomarkers in five independent Finnish cohorts with over 22000 individuals - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Developing risk prediction models for type 2 diabetes and assessing the role of circulating metabolic biomarkers in five independent Finnish cohorts with over 22000 individuals
Type 2 diabetes is a serious public health risk. It is not well known whether large scale omics data could help improve the risk prediction. We combined the use of metabolic variables with modern mode...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Planning retention strategies in clinical trials; a qualitative interview study with members of trial teams - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Planning retention strategies in clinical trials; a qualitative interview study with members of trial teams
To address poor participant retention, trial teams often use retention strategies. Evidence on the planning of retention strategies in trials is limited. Based on our previously conducted research, an...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Conflict of interest policies for editors and peer reviewers in medical journals:cross-sectional study - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Conflict of interest policies for editors and peer reviewers in medical journals:cross-sectional study
Editors and reviewers of research manuscripts may have conflicts of interest that impact their evaluations. We aimed to characterise medical journals' conflict of interest policies for editors and pee...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Reusing clinical trial data to consolidate and advance medical knowledge - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Reusing clinical trial data to consolidate and advance medical knowledge
While data sharing holds great potential to maximize the value of research and reduce waste, these benefits can only be fully realized if shared data are also effectively reused. Yet data reuse remain...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Updating the PRISMA reporting guideline for network meta-analysis: a scoping review - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Updating the PRISMA reporting guideline for network meta-analysis: a scoping review
This scoping review is the first step in updating the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for network meta-analysis (NMA). It builds up on a 2014 scop...
www.jclinepi.com
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Statistical model assessment in published dose-response meta-analyses is suboptimal: Evidence from a methodological review and re-analysis of 242 datasets - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Statistical model assessment in published dose-response meta-analyses is suboptimal: Evidence from a methodological review and re-analysis of 242 datasets
Dose-response meta-analysis (DRMA) is a crucial clinical and epidemiological research tool for synthesizing exposure-risk relationships. Despite its growing use, facilitated by the availability of sta...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
PedsQL Generic Core Scales was More Discriminative While EQ-5D-Y-5L was More Responsive in a Longitudinal Study of Multi-Ethnic Asian Children and Adolescents With Heart Disease - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
PedsQL Generic Core Scales was More Discriminative While EQ-5D-Y-5L was More Responsive in a Longitudinal Study of Multi-Ethnic Asian Children and Adolescents With Heart Disease
This study compared the measurement properties of five pediatric health-related quality of life (HRQoL) instruments—three preference-based (EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D) and two non-preference-ba...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Effectiveness and Efficiency of an Add-on Active Outreach Strategy on Research Enrollments in a Drug Intervention Trial - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Effectiveness and Efficiency of an Add-on Active Outreach Strategy on Research Enrollments in a Drug Intervention Trial
Adding an active outreach strategy for patients who do not respond to mail invitations may enhance clinical research recruitment; however, the effectiveness of this approach has yet to be formally tes...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Piloting QUADAS-3: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Piloting QUADAS-3: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
QUADAS-2 is the most widely used tool for evaluating risk of bias and applicability concerns in diagnostic test accuracy studies within systematic reviews. QUADAS-2 has recently been updated to a new ...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Write Your Abstracts Carefully - The Impact of Abstract Reporting Quality on Findability by Semi-Automated Title-Abstract Screening Tools - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Write Your Abstracts Carefully - The Impact of Abstract Reporting Quality on Findability by Semi-Automated Title-Abstract Screening Tools
Evidence synthesis, such as the conduct of a systematic review or clinical guideline development, is time-consuming, laborious, and costly. This is largely due to the vast amounts of titles and abstra...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Impact of active placebo controls on estimated drug effects in randomised trials: a meta-epidemiological study - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Impact of active placebo controls on estimated drug effects in randomised trials: a meta-epidemiological study
To assess the impact of active placebo control versus standard placebo control interventions on estimated benefits of experimental interventions in pharmacological randomised clinical trials, and to e...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
The AMSTAR 2 publication lacks explicit instructions on how to assess the appropriateness of statistical methods (item 11) and publication bias (item 15), and does not reflect advances in meta-analysis - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
The AMSTAR 2 publication lacks explicit instructions on how to assess the appropriateness of statistical methods (item 11) and publication bias (item 15), and does not reflect advances in meta-analysi...
As the quantity of published systematic reviews has increased substantially over the years, concerns about the methodological quality of this growing body of literature have been validly raised. AMSTA...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
Machine Learning For Predicting Cardiovascular Events In Older Adults With Type 2 Diabetes Using Medicare Claims And Electronic Health Records - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Machine Learning For Predicting Cardiovascular Events In Older Adults With Type 2 Diabetes Using Medicare Claims And Electronic Health Records
To address the limitations of existing models for research and population health applications in older adults with type 2 diabetes, we developed and validated cardiovascular disease (CVD) and heart fa...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 10d
User experience of Tool for Addressing Conflicts of Interest in Trials (TACIT) prototype: interview and questionnaire study - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
User experience of Tool for Addressing Conflicts of Interest in Trials (TACIT) prototype: interview and questionnaire study
To describe and analyse the user experience of a late-phase prototype of Tool for Addressing Conflicts of Interest in Trials (TACIT). The tool was developed primarily for guiding systematic reviewers ...
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jclinepi.bsky.social
Journal of Clinical Epidemiology @jclinepi.bsky.social · 20d
The Necessity of Specifying Measurement Models: A Critical Reappraisal Specification Issues in PRECIOUS - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
The Necessity of Specifying Measurement Models: A Critical Reappraisal Specification Issues in PRECIOUS
•The study provides a constructive reappraisal of measurement model use in hybrid instruments within health research.•It identifies ontological mismatches between model selection and the nature of the...
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