Measuring vaccine protection when the population is mostly vaccinated
This study aims to address limitations in assessing vaccine protection using the classical vaccine effectiveness (VE) measure, especially in contexts where a significant portion of the population is already vaccinated or infected. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 27, 2023 Category: Epidemiology Authors: Yair Goldberg, Ofra Amir, Micha Mandel, Laurence Freedman, Yinon M. Bar-On, Omri Bodenheimer, Ron Milo, Amit Huppert Tags: Original Article Source Type: research
Greater agreement is required to harness the potential of health intelligence: a critical interpretive synthesis
To synthesize existing knowledge on the features of, and approaches to, health intelligence, including definitions, key concepts, frameworks, methods and tools, types of evidence used, and research gaps. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 21, 2023 Category: Epidemiology Authors: Michelle M. Haby, Evelina Chapman, Jorge Ot ávio Maia Barreto, Oscar J. Mujica, Ana Rivière Cinnamond, Roberta Caixeta, Sebastian Garcia-Saiso, Ludovic Reveiz Tags: Review Source Type: research
GRADE concept 6: A novel application of external indirect evidence into GRADE ratings of evidence certainty in Network Meta-analysis
We describe how consideration of external evidence may play an important role in judging certainty in the process of establishing the certainty of the evidence. Our example is a network meta-analysis (NMA) addressing treatment for Ebola virus disease, which informed a World Health Organization (WHO) guideline. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 19, 2023 Category: Epidemiology Authors: Qiukui Hao, Ya Gao, Yunli Zhao, M. Hassan Murad, Reem Mustafa, Mohammed T. Ansari, Holger J. Sch ünemann, David M. Rind, Romina Brignardello-Petersen, Gordon Guyatt Tags: GRADE Concept Series Source Type: research
Using mediators to understand effect modification and interaction
Effect modification and interaction are key concepts within epidemiologic research. They refer to situations where the magnitude and/or direction of the causal effect of some exposure variable on an outcome depends on the level of a second variable (effect modification) or on the effect of a second variable (interaction). Interest in case of effect modification is primarily in one exposure variable, with its effects varying across subgroups, whereas primary interest in case of interaction is in the interplay of effects of two exposure variables. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 18, 2023 Category: Epidemiology Authors: Martijn J.L. Bours Tags: Commentary Source Type: research
A methodological review of Population-Adjusted Indirect Comparisons reveals inconsistent reporting and suggests publication bias
Population-adjusted indirect comparisons (PAICs) were developed in the 2010s to allow for comparisons between two treatments evaluated in different trials while accounting for differences in patient characteristics if individual patient data (IPD) are available for only one trial. Such comparisons are increasingly used in market access applications when a pharmaceutical company compares its new treatment (with IPD available) to another treatment developed by a competitor (with only aggregated data available). (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 15, 2023 Category: Epidemiology Authors: Arnaud Serret-Larmande, Belkacem Zenati, Agn ès Dechartres, Jérôme Lambert, David Hajage Tags: Original Article Source Type: research
Letter to the editor: Does the origami plot really improve the radar plot? Authors ’ response to Boers
Recently, we introduced a graphical representation which we coined as the origami plot [1]. It enhances the capabilities of traditional radar charts, although effectively addressing the problem of misinterpretation arising from interconnected regions. To facilitate multicriteria decision-making, we considered two additional designed features, the weighted and the pairwise origami plots. We have carefully reviewed Dr. Boers ’ feedback [2] and would like to offer a comprehensive rebuttal to his points of concern. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 13, 2023 Category: Epidemiology Authors: Rui Duan, Jiayi Tong, Alex J. Sutton, David A. Asch, Haitao Chu, Christopher H. Schmid, Yong Chen Tags: Letter to the Editor Source Type: research
Corrigendum to “Quality of clinical practice guidelines in Japan remains low: a cross-sectional meta-epidemiological study” [Journal of Clinical Epidemiology 138 (2021) 10550]
The authors regret that upon reviewing this article recently, we discovered an error in the calculation method used for the AGREE II scores, which unfortunately, was not noticed during the writing and editing stages. The authors deeply apologize for any confusion or misinterpretation this might have caused. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 13, 2023 Category: Epidemiology Source Type: research
The origami plot indeed improves the radar plot: response to the letter from Maarten Boers “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 - September 13, 2023 Category: Epidemiology Authors: Rui Duan Harvard, Jiayi Tong, Alex J. Sutton, David Asch, Haitao Chu, Christopher H. Schmid, Yong Chen Tags: Commentary Source Type: research
Letter to the editor: Does the origami plot really improve the radar plot? Boers further responds to authors ’ response
I am grateful for the opportunity to continue the discussion on the usefulness of the radar plot and Duan et al.’s [1] ‘origami’ improvements. If I understand correctly, their main argument to try to improve the radar plot is that it is frequently being used, so that it is better to ‘go with the flow’ and optimize it rather than reject it altogether. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 11, 2023 Category: Epidemiology Authors: Maarten Boers Tags: Letter to the Editor Source Type: research
Bias in the measurement of the outcome is associated with effect sizes in randomized clinical trials on exercise therapy for chronic low back pain: a meta-epidemiological study
To explore the relationships between the risk of bias and treatment effect estimates for exercise therapy interventions on pain intensity and physical functioning outcomes in randomized controlled trials (RCTs) involving patients with chronic low back pain. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 11, 2023 Category: Epidemiology Authors: Tiziano Innocenti, Jill A. Hayden, Stefano Salvioli, Silvia Giagio, Leonardo Piano, Carola Cosentino, Fabrizio Brindisino, Daniel Feller, Rachel Ogilvie, Silvia Gianola, Greta Castellini, Silvia Bargeri, Jos W.R. Twisk, Raymond W. Ostelo, Alessandro Chiar Tags: Review Article Source Type: research
Reply to Duan et al. on the origami plot
I am grateful for the opportunity to continue the discussion on the usefulness of the radar plot and Duan et al.’s [1] ‘origami’ improvements. If I understand correctly, their main argument to try to improve the radar plot is that it is frequently being used, so that it is better to ‘go with the flow’ and optimize it rather than reject it altogether. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 11, 2023 Category: Epidemiology Authors: Maarten Boers Tags: Letter to the Editor Source Type: research
reply to Duan et al. on the origami plot
(Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 11, 2023 Category: Epidemiology Authors: Maarten Boers Tags: Letter to the Editor Source Type: research
Bias in the measurement of the outcome is associated with effect sizes in randomised clinical trials on exercise therapy for chronic low back pain: a meta-epidemiological study
To explore the relationships between the risk of bias and treatment effect estimates for exercise therapy interventions on pain intensity and physical functioning outcomes in randomised controlled trials (RCTs) involving patients with chronic low back pain. (Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 11, 2023 Category: Epidemiology Authors: Tiziano Innocenti, Jill A. Hayden, Stefano Salvioli, Silvia Giagio, Leonardo Piano, Carola Cosentino, Fabrizio Brindisino, Daniel Feller, Rachel Ogilvie, Silvia Gianola, Greta Castellini, Silvia Bargeri, Jos WR. Twisk, Raymond W. Ostelo, Alessandro Chiaro Tags: Review Source Type: research
Editorial Board
(Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 1, 2023 Category: Epidemiology Source Type: research
Table of Contents
(Source: Journal of Clinical Epidemiology)
Source: Journal of Clinical Epidemiology - September 1, 2023 Category: Epidemiology Source Type: research
