Evidence map›Paper›PMID 33087376›Full record

Observational studyBMJ open2020

Women's health in

Eva N Hamulyák, Austin J Brockmeier, Johanna D Killas, Sophia Ananiadou, Saskia Middeldorp, Armand M Leroi

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Observational
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

6 authors.

Eva N HamulyákDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands e.n.hamulyak@amsterdamumc.nl.ORCID 0000-0002-9340-8771
Austin J BrockmeierDepartment of Electrical & Computer Engineering, University of Delaware, Newark, Delaware, USA.
Johanna D KillasHealth Studies Programme, University of Toronto, Toronto, Ontario, Canada.
Sophia AnaniadouDepartment of Computer Science, The University of Manchester National Centre for Text Mining, Manchester, UK.
Saskia MiddeldorpDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Armand M LeroiDepartment of Life Sciences, Imperial College London, South Kensington Campus, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine how the representation of women's health has changed in clinical studies over the course of 70 years.

designObservational study of 71 866 research articles published between 1948 and 2018 in

main outcome measuresThe incidence of women-specific health topics over time. General linear, additive and segmented regression models were used to estimate trends.

resultsOver 70 years, the overall odds that a word in a

conclusionsOver time women have become ever more prominent in

Indexed as

Data ScienceWomen's HealthFemaleHumansPregnancyPublic HealthPublishingResearch PersonnelBMJclinical studieseditorrepresentationwomen’s health

Identifiers

PMID33087376
PMCPMC7580070

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.