Evidence map›Paper›PMID 30418665›Full record

ReviewBritish journal of pharmacology2019

Sex bias in preclinical research and an exploration of how to change the status quo.

Natasha A Karp, Neil Reavey

Abstract readReview
In one paragraph

Review in British journal of pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
–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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Sex and ovarian hormone status shape baseline cardiovascular physiology in Sprague Dawley rats.American journal of physiology. Regulatory, integrative and comparative physiology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

2 authors.

Natasha A KarpQuantitative Biology, Discovery Sciences, IMED Biotech Unit, AstraZeneca, Cambridge, UK.ORCID 0000-0002-8404-2907
Neil ReaveyCouncil for Science and Animal Welfare, AstraZeneca, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been a revolution within clinical trials to include females in the research pipeline. However, there has been limited change in the preclinical arena; yet the research here lays the ground work for the subsequent clinical trials. Sex bias has been highlighted as one of the contributing factors to the poor translation and replicability issues undermining preclinical research. There have been multiple calls for action, and the funders of biomedical research are actively pushing the inclusion of sex as a biological variable. Here, we consider the current standard practice within the preclinical research setting, why there is a movement to include females and why the imbalance exists. We explore organizational change theory as a tool to shape strategies needed at an individual and institute level to change the status quo. The ultimate goal is to create a scientific environment in which our preclinical research automatically implements sex-sensitive approaches. LINKED ARTICLES: This article is part of a themed section on The Importance of Sex Differences in Pharmacology Research. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v176.21/issuetoc.

Indexed as

Drug Evaluation, PreclinicalSex CharacteristicsAnimalsBiomedical ResearchHumans

Identifiers

PMID30418665
PMCPMC6877896

What OpenQuestion holds

Textmetadata
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.