Evidence map›Paper›PMID 21067576›Full record

ArticleBMC medicine2010

Analysis of sex and gender-specific research reveals a common increase in publications and marked differences between disciplines.

Sabine Oertelt-Prigione, Roza Parol, Stephan Krohn, Robert Preissner, Vera Regitz-Zagrosek

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Editorial: Sex and Gender Aspects in Diabetes.Frontiers in endocrinology · 2019
    Article
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  14. Article
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  17. Article
  18. Integrating and evaluating sex and gender in health research.Health research policy and systems · 2016
    Article
  19. Article
  20. Article
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

5 authors at 2 institutions in 2 countries.

Sabine Oertelt-PrigioneInstitute of Gender in Medicine, Charité-Universitätsmedizin, Berlin, Germany. sabine.oertelt-prigione@charite.de
Roza Parol
Stephan Krohn
Robert Preissner
Vera Regitz-Zagrosek
Charité - Universitätsmedizin Berlin · DEGender Studies · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incorporation of sex and gender-specific analysis in medical research is increasing due to pressure from public agencies, funding bodies, and the clinical and research community. However, generations of knowledge and publication trends in this discipline are currently spread over distinct specialties and are difficult to analyze comparatively.

methodsUsing a text-mining approach, we have analysed sex and gender aspects in research within nine clinical subspecialties--Cardiology, Pulmonology, Nephrology, Endocrinology, Gastroenterology, Haematology, Oncology, Rheumatology, Neurology--using six paradigmatic diseases in each one. Articles have been classified into five pre-determined research categories--Epidemiology, Pathophysiology, Clinical research, Management and Outcomes. Additional information has been collected on the type of study (human/animal) and the number of subjects included. Of the 8,836 articles initially retrieved, 3,466 (39%) included sex and gender-specific research and have been further analysed.

resultsLiterature incorporating sex/gender analysis increased over time and displays a stronger trend if compared to overall publication increase. All disciplines, but cardiology (22%), demonstrated an underrepresentation of research about gender differences in management, which ranges from 3 to 14%. While the use of animal models for identification of sex differences in basic research varies greatly among disciplines, studies involving human subjects are frequently conducted in large cohorts with more than 1,000 patients (24% of all human studies).

conclusionsHeterogeneity characterizes sex and gender-specific research. Although large cohorts are often analysed, sex and gender differences in clinical management are insufficiently investigated leading to potential inequalities in health provision and outcomes.

Indexed as

Biomedical ResearchFemaleHumansMalePublicationsSex Distribution

Identifiers

PMID21067576
PMCPMC2993643
OpenAlexW2107797141

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.