GRADE Concept Article 5: Addressing intransitivity in a network meta-analysis
This article describes considerations for addressing intransitivity when assessing the certainty of the evidence from network meta-analysis (NMA) using the GRADE approach. Intransitivity is induced by effect modification, i.e., when the magnitude of the effect between an intervention and outcome differs depending on the level of another factor. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 19, 2023 Category: Epidemiology Authors: Romina Brignardello-Petersen, George Tomlinson, Ivan Florez, David M. Rind, Derek Chu, Rebecca Morgan, Reem A. Mustafa, Holger Schunemann, Gordon H. Guyatt Tags: Original Article Source Type: research
Multiple imputation of missing data under missing at random: compatible imputation models are not sufficient to avoid bias if they are mis-specified
Epidemiological studies often have missing data, which are commonly handled by multiple imputation (MI). Standard (default) MI procedures use simple linear covariate functions in the imputation model. We examine the bias that may be caused by acceptance of this default option and evaluate methods to identify problematic imputation models, providing practical guidance for researchers. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 19, 2023 Category: Epidemiology Authors: Elinor Curnow, James R. Carpenter, Jon E. Heron, Rosie P. Cornish, Stefan Rach, Vanessa Didelez, Malte Langeheine, Kate Tilling Tags: Original Article Source Type: research
A scoping review establishes need for consensus guidance on reporting health equity in observational studies
To evaluate the support from the available guidance on reporting of health equity in research for our candidate items and to identify additional items for the STROBE (Strengthening Reporting of Observational studies in Epidemiology)-Equity extension. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 15, 2023 Category: Epidemiology Authors: Xiaoqin Wang, Omar Dewidar, Anita Rizvi, Jimmy Huang, Payaam Desai, Rebecca Doyle, Elizabeth Ghogomu, Tamara Rader, Stuart G. Nicholls, Alba Antequera, Alison Krentel, Beverley Shea, Billie-Jo Hardy, Catherine Chamberlain, Charles S. Wiysonge, Cindy Feng, Tags: Review Source Type: research
Corrigendum to ‘Identifying type 1 and 2 diabetes in research datasets where classification biomarkers are unavailable: assessing the accuracy of published approaches’ [Journal of Clinical Epidemiology (2023) 34-44]
The authors regret that the website link to the tool referred to on page 35 and 40 of the article was incorrect in the published version. The correct weblink for the tool is: https://newcastlerse.github.io/turing-diabetes-classification/welcome. In addition the publishers had inserted an incorrect expansion for the abbreviation BMI in the article abstract – this should read ‘Body Mass Index’ not ‘B ody Image Issue’ (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 12, 2023 Category: Epidemiology Authors: Nicholas J. Thomas, Andrew McGovern, Katherine G. Young, Seth A. Sharp, Michael N. Weedon, Andrew T. Hattersley, John Dennis, Angus G. Jones Tags: Corrigendum Source Type: research
Beyond Statistical Significance: Nuanced Interpretations of Statistically Nonsignificant Results were Rare in Cochrane Reviews – a Meta-epidemiological Study
To assess the language used by systematic review authors to emphasize that statistically nonsignificant results show meaningful differences. To determine whether the magnitude of these treatment effects was distinct from nonsignificant results that authors interpreted as not different. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 12, 2023 Category: Epidemiology Authors: Gerald Gartlehner, Emma Persad, Dominic Ledinger, Andrea Chapman, Arianna Gadinger, Johanna Feyertag, Robert Emprechtinger Tags: Original Article Source Type: research
A methodological framework allows the identification of personomic markers to consider when designing personalized interventions
To develop a methodological framework to identify and prioritize personomic markers (e.g., psychosocial situation, beliefs …) to consider for personalizing interventions and to test in smoking cessation interventions. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - June 11, 2023 Category: Epidemiology Authors: Alexandre Malmartel, Philippe Ravaud, Viet-Thi Tran Tags: Original Article Source Type: research
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
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
