Underreporting contextual factors preclude the applicability appraisal in primary care randomized controlled trials
To assess applicability reporting in randomized controlled trials (RCTs) conducted in primary care (PC). (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 11, 2023 Category: Epidemiology Authors: Aristea Missiou, Eleni Ntalaouti, Christos Lionis, Evangelos Evangelou, Athina Tatsioni Tags: Original Article Source Type: research
A new taxonomy is proposed for defining the interests of stakeholders ’ representatives in health research: the case of guideline development
There are concerns about bias arising from the interests that stakeholder representatives may bring into the process of health research. In this article we distinguish between the non-conflicting interests of stakeholder groups and the conflicting interests of their representatives. Non-conflicting interests of a stakeholder group (also referred to as legitimate interests) relate to the inherent rights of that group (e.g., right of appropriate representation). In the context of guidelines, the legitimacy of these interests arises from the fact that the stakeholder group either uses the guideline recommendations or is affec...
Source: Journal of Clinical Epidemiology - June 10, 2023 Category: Epidemiology Authors: Elie A. Akl, Joanne Khabsa, Holger J. Sch ünemann, Eve Tomlinson, Roses Parker, Peter Tugwell, Thomas W. Concannon Tags: Commentary Source Type: research
Corrigendum to methodological approaches for developing, reporting, and assessing evidence-based clinical practice guidelines: a systematic survey [Journal of Clinical Epidemiology 146 (2022) 77-85]
The authors regret that few of details published in Table 1 are incorrect. Below is the correct table. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 9, 2023 Category: Epidemiology Authors: Xiaomei Yao, Jun Xia, Yinghui Jin, Quan Shen, Qi Wang, Ying Zhu, Sheila McNair, Jonathan Sussman, Zhiwen Wang, Ivan D. Florez, Xian-Tao Zeng, Melissa Brouwers Tags: Corrigendum Source Type: research
Letter to the editor: Does the origami plot really improve the radar plot? Comment on the article by Duan et al.
I read the paper by Duan et al. [1] on the ‘origami plot’ with interest but also with some concerns. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 8, 2023 Category: Epidemiology Authors: Maarten Boers Tags: Letter to the Editor Source Type: research
Does the origami plot really improve the radar plot? Comment on the article by Duan et al.
I read the paper by Duan et al. [1] on the ‘origami plot’ with interest but also with some concerns. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 8, 2023 Category: Epidemiology Authors: Maarten Boers Tags: Letter to the Editor Source Type: research
Does the origami plot really improve the radar plot? Comment on the article by Duan et al.
(Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 8, 2023 Category: Epidemiology Authors: Maarten Boers Tags: Letter to the Editor Source Type: research
Covariate-specific ROC curve analysis can accommodate differences between covariate subgroups in the evaluation of diagnostic accuracy
We present an illustrative application of methods that account for covariates in receiver operating characteristic (ROC) curve analysis, using individual patient data on D-dimer testing for excluding pulmonary embolism. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 7, 2023 Category: Epidemiology Authors: Jenny Lee, Nick van Es, Toshihiko Takada, Frederikus A. Klok, Geert-Jan Geersing, Jeffrey Blume, Patrick M. Bossuyt, the IPD study team Tags: Original Article Source Type: research
Methods to address selection bias in post-trial studies of legacy effects were evaluated
Post-trial follow-up studies have become increasingly important to investigate the long-term effectiveness of interventions after randomized controlled trials (RCTs). Legacy effects refer to intervention effects that are only observed after the trial has ended and are not the direct effects observed during the trial period. However, limited attention has been given to the potential selection bias in post-trial studies. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 7, 2023 Category: Epidemiology Authors: Lin Zhu, Katy J.L. Bell, Andrew Hayen Tags: Original Article Source Type: research
Peer review before trial conduct could increase research value and reduce waste
Clinical trials have been at the forefront of debates and initiatives toward improving rigor and transparency (e.g., data sharing and registration). However, many problems still plague clinical trials. Selective reporting biases, sloppy methods, p-hacking, and other pitfalls remain prevalent despite efforts from funders, researchers, journals, and patient organizations [1]. According to Chalmers and Glasziou, approximately 85% of medical research goes to waste because of asking the wrong questions or poor design [2]. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 5, 2023 Category: Epidemiology Authors: Maximilian Siebert, Florian Naudet, John P.A. Ioannidis Tags: Commentary Source Type: research
Peer review before trial conduct could increase research value and reduce waste
Traditional peer-review of clinical trials happens too late, after the trials are already done. However, lack of methodological rigor and presence of many biases can be detected and remedied in advance. Here, we examine several options for review and improvement of trials before their conduct: protocol review by peers, sponsors, regulatory authorities, and institutional ethical committees; registration in registry sites; deposition of protocol and/or the statistical analysis plan in a public repository; peer-review and publication of the protocol and/or the statistical analysis plan in a journal; and Registered Reports. (S...
Source: Journal of Clinical Epidemiology - June 5, 2023 Category: Epidemiology Authors: Maximilian Siebert, Florian Naudet, John P.A. Ioannidis Tags: Commentary Source Type: research
Part II: A Step-by-Step Guide to Latent Class Analysis
Latent class analysis (LCA) is an analytical approach for the identification of more homogeneous subgroups within an otherwise dissimilar patient population. In the current paper, Part II, we present a practical step-by-step guide for LCA of clinical data, including when LCA might be applied, selecting indicator variables, and choosing a final class solution. We also identify common pitfalls of LCA, and related solutions. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 5, 2023 Category: Epidemiology Authors: Kayvan Aflaki, Simone Vigod, Joel G. Ray Source Type: research
Systematic reviewers used various approaches to data extraction and expressed several research needs: A survey
Data extraction is a prerequisite for analyzing, summarizing and interpreting evidence in systematic reviews. Yet guidance is limited, and little is known about current approaches. We surveyed systematic reviewers on their current approaches to data extraction, opinions on methods and research needs. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 5, 2023 Category: Epidemiology Authors: Roland Brian B üchter, Tanja Rombey, Tim Mathes, Hanan Khalil, Carole Lunny, Danielle Pollock, Livia Puljak, Andrea C. Tricco, Dawid Pieper Tags: Original Article Source Type: research
Methods and results of studies on reporting guideline adherence are poorly reported: a meta-research study
We examined conclusions of each meta-research study to evaluate possible repetitive and similar findings. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 2, 2023 Category: Epidemiology Authors: Tiffany Dal Santo, Danielle B. Rice, Lara S.N. Amiri, Amina Tasleem, Kexin Li, Jill T. Boruff, Marie-Claude Geoffroy, Andrea Benedetti, Brett D. Thombs Tags: Original Article Source Type: research
Editor's choice – June 2023
A core outcome set can be defined as “a standardised set of outcomes which should be measured and reported, as a minimum, in all effectiveness trials for a specific health area [1].” Core outcome sets are important because they ensure that the most relevant outcomes to all users of research, such as patients and the public, healthc are providers, policy-makers, researchers, and funders are included [2]. An international effort to regularly update core outcome sets in trials is the COMET initiative–which stands for Core Outcome Measures in Effectiveness Trials (https://www.comet-initiative.org). (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 1, 2023 Category: Epidemiology Authors: Andrea C. Tricco, David Tovey Tags: Editors' Choice Source Type: research
Editorial Board
(Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 1, 2023 Category: Epidemiology Source Type: research
