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Clarifying the distinction between case series and cohort studies in systematic reviews of comparative studies: potential impact on body of evidence and workload

Overview of attention for article published in BMC Medical Research Methodology, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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27 X users
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3 Wikipedia pages

Citations

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107 Dimensions

Readers on

mendeley
289 Mendeley
Title
Clarifying the distinction between case series and cohort studies in systematic reviews of comparative studies: potential impact on body of evidence and workload
Published in
BMC Medical Research Methodology, July 2017
DOI 10.1186/s12874-017-0391-8
Pubmed ID
Authors

Tim Mathes, Dawid Pieper

Abstract

Distinguishing cohort studies from case series is difficult.We propose a conceptualization of cohort studies in systematic reviews of comparative studies. The main aim of this conceptualization is to clarify the distinction between cohort studies and case series. We discuss the potential impact of the proposed conceptualization on the body of evidence and workload.All studies with exposure-based sampling gather multiple exposures (with at least two different exposures or levels of exposure) and enable calculation of relative risks that should be considered cohort studies in systematic reviews, including non-randomized studies. The term "enables/can" means that a predefined analytic comparison is not a prerequisite (i.e., the absolute risks per group and/or a risk ratio are provided). Instead, all studies for which sufficient data are available for reanalysis to compare different exposures (e.g., sufficient data in the publication) are classified as cohort studies.There are possibly large numbers of studies without a comparison for the exposure of interest but that do provide the necessary data to calculate effect measures for a comparison. Consequently, more studies could be included in a systematic review. Therefore, on the one hand, the outlined approach can increase the confidence in effect estimates and the strengths of conclusions. On the other hand, the workload would increase (e.g., additional data extraction and risk of bias assessment, as well as reanalyses).

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 X users 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 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 289 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 56 19%
Researcher 34 12%
Student > Ph. D. Student 29 10%
Other 27 9%
Student > Bachelor 26 9%
Other 48 17%
Unknown 69 24%
Readers by discipline Count As %
Medicine and Dentistry 91 31%
Nursing and Health Professions 38 13%
Biochemistry, Genetics and Molecular Biology 11 4%
Psychology 10 3%
Veterinary Science and Veterinary Medicine 8 3%
Other 41 14%
Unknown 90 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 17 August 2023.
All research outputs
#1,770,254
of 24,312,464 outputs
Outputs from BMC Medical Research Methodology
#231
of 2,158 outputs
Outputs of similar age
#32,010
of 286,818 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 41 outputs
Altmetric has tracked 24,312,464 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 89% of its peers.
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 286,818 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.