Evidence map›Paper›PMID 42483013›Full record

ReviewCJC open2026

Female Representation in the Antiplatelet Medication Literature Informing the 2023 Canadian Antiplatelet Guidelines.

Nicole L Tegg, Kainat Meherali, Jenna Semmens, Colleen M Norris

Abstract readReview
In one paragraph

Review in CJC open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nicole L TeggFaculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.
Kainat MeheraliFaculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.
Jenna SemmensFaculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.
Colleen M NorrisFaculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antiplatelet medications remain essential in managing atherosclerotic cardiovascular disease. We assessed the adequacy of female representation in the antiplatelet medication literature, which informed the 2023 Canadian Antiplatelet Guidelines. Literature cited in the 2023 Canadian Antiplatelet Guidelines was systematically reviewed. Randomized controlled trials were included. Observational studies, systematic reviews, guidelines, consensus documents, studies missing demographic data, and research protocols were excluded. Extracted data included study titles, author, year, design, sample size, mean participant age, and proportion of female participants. Of 138 identified unique citations, 109 studies met the inclusion criteria. From the included evidence informing the 7 antiplatelet PICO (population, intervention, comparison, outcome) topics, the total sample size was 570,217 participants, with a mean age of 65.4 years. The mean percentage of female participants included across trials was 28.5%, and 21% of the included studies had a participation-to-prevalence ratio of 0.8-1.2 for female participants. Female patients were not adequately represented in nearly two-thirds of the evidence informing antiplatelet medication trials. Thus, the 2023 Canadian Antiplatelet Guidelines PICO topics are informed largely by evidence with inadequate female representation. A need remains for greater attention to adequately representing female patients in clinical trials for antiplatelet medications, which in turn inform clinical guidelines.

Indexed as

cardiovascular diseasesfemale representationplatelet aggregation inhibitorspractice guidelines

Identifiers

PMID42483013
PMCPMC13386740

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.