Evidence map›Paper›PMID 40263253›Full record

ReviewNature communications2025

The Sex Inclusive Research Framework to address sex bias in preclinical research proposals.

Natasha A Karp, Manuel Berdoy, Kelly Gray, Lilian Hunt, Maggy Jennings, Angela Kerton, Matt Leach, Jordi L Tremoleda, Jon Gledhill, Esther J Pearl and 7 more

Abstract readReview
In one paragraph

Review in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Testosterone: Vital to female physiology.Women's health (London, England)
    Review
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

17 authors.

Natasha A KarpData Sciences & Quantitative Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge, UK. Natasha.Karp@astrazeneca.com.
Manuel BerdoyBMS, University of Oxford, Oxford, UK.
Kelly GrayOpen Innovation, Discovery Sciences, R&D, AstraZeneca, Cambridge, UK.
Lilian HuntWellcome Trust, London, UK.ORCID http://orcid.org/0000-0002-0319-7764
Maggy JenningsRSPCA, Animals in Science Department, Horsham, UK.
Angela KertonThe Learning Curve (Development) Ltd, Ware, UK.ORCID http://orcid.org/0000-0003-1427-6318
Matt LeachComparative Biology Centre, Newcastle University, Newcastle, UK.
Jordi L TremoledaQueen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-8846-9043
Jon GledhillComparative Biology Centre, Newcastle University, Newcastle, UK.
Esther J PearlThe NC3Rs, London, UK.ORCID http://orcid.org/0000-0001-6510-0959
Nathalie Percie du SertThe NC3Rs, London, UK.ORCID http://orcid.org/0000-0002-9478-0540
Benjamin PhillipsData Sciences & Quantitative Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge, UK.
Penny S ReynoldsUniversity of Florida, Florida, USA.
Kathy RyderDepartment of Health, Stormont Estate, Belfast, UK.ORCID http://orcid.org/0000-0003-2126-1296
S Clare StanfordUniversity College London, London, UK.
Sara WellsThe Mary Lyon Centre at MRC Harwell, Harwell Science and Innovation Campus, Lyon, UK.ORCID http://orcid.org/0000-0002-0572-0600
Lucy WhitfieldOWL Vets Ltd, Mildenhall, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An interactive Sex Inclusive Research Framework (SIRF) supports the evaluation of in vivo and ex vivo research proposals to address the risk of sex bias in preclinical research. The framework delivers a traffic light classification, indicating whether a proposal is appropriate, risky, or insufficient with regard to sex inclusion. This tool is designed for use by researchers, (animal) ethical review boards, and funders to generate a rigorous and reproducible assessment of sex inclusion at the proposal level, thus helping address and resolve the embedded sex bias in preclinical research.

Indexed as

Biomedical ResearchResearch DesignSexismAnimalsFemaleHumansMale

Identifiers

PMID40263253
PMCPMC12015461

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.