↓ Skip to main content

Reporting studies on time to diagnosis: proposal of a guideline by an international panel (REST)

Overview of attention for article published in BMC Medicine, September 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Reporting studies on time to diagnosis: proposal of a guideline by an international panel (REST)
Published in
BMC Medicine, September 2016
DOI 10.1186/s12916-016-0690-7
Pubmed ID
Authors

Elise Launay, Jérémie F. Cohen, Patrick M. Bossuyt, Pierre Buekens, Jonathan Deeks, Timothy Dye, Richard Feltbower, Andrea Ferrari, Michael Kramer, Mariska Leeflang, David Moher, Karel G. Moons, Erik von Elm, Philippe Ravaud, Martin Chalumeau

Abstract

Studies on time to diagnosis are an increasing field of clinical research that may help to plan corrective actions and identify inequities in access to healthcare. Specific features of time to diagnosis studies, such as how participants were selected and how time to diagnosis was defined and measured, are poorly reported. The present study aims to derive a reporting guideline for studies on time to diagnosis. Each item of a list previously used to evaluate the completeness of reporting of studies on time to diagnosis was independently evaluated by a core panel of international experts (n = 11) for relevance and readability before an open electronic discussion allowed consensus to be reached on a refined list. The list was then submitted with an explanatory document to first, last and/or corresponding authors (n = 98) of published systematic reviews on time to diagnosis (n = 45) for relevance and readability, and finally approved by the core expert panel. The refined reporting guideline consists of a 19-item checklist: six items are about the process of participant selection (with a suggested flowchart), six about the definition and measurement of time to diagnosis, and three about optional analyses of associations between time to diagnosis and participant characteristics and health outcomes. Of 24 responding authors of systematic reviews, more than 21 (≥88 %) rated the items as relevant, and more than 17 (≥70 %) as readable; 19 of 22 (86 %) authors stated that they would potentially use the reporting guideline in the future. We propose a reporting guideline (REST) that could help authors, reviewers, and editors of time to diagnosis study reports to improve the completeness and the accuracy of their reporting.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 4 9%
Professor 4 9%
Student > Bachelor 4 9%
Other 3 7%
Other 9 20%
Unknown 12 27%
Readers by discipline Count As %
Medicine and Dentistry 22 49%
Social Sciences 4 9%
Veterinary Science and Veterinary Medicine 2 4%
Nursing and Health Professions 1 2%
Economics, Econometrics and Finance 1 2%
Other 3 7%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 September 2016.
All research outputs
#20,344,065
of 22,890,496 outputs
Outputs from BMC Medicine
#3,338
of 3,442 outputs
Outputs of similar age
#280,134
of 322,819 outputs
Outputs of similar age from BMC Medicine
#60
of 62 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.