Evidence map›Paper›PMID 35333604›Full record

ReviewJournal of women's health (2002)2022

Does Journal Content in the Field of Women's Health Represent Women's Burden of Disease? A Review of Publications in 2010 and 2020.

Laura Hallam, Amy Vassallo, Ana-Catarina Pinho-Gomes, Cheryl Carcel, Mark Woodward

Abstract readReview
In one paragraph

Review in Journal of women's health (2002), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Person-Generated Health Data in Women's Health: Scoping Review.Journal of medical Internet research · 2024
    Article
  10. Article
  11. Rethinking advanced motherhood: a new ethical narrative.Medicine, health care, and philosophy · 2023
    Review
  12. Article
  13. Challenges and Opportunities for Data Science in Women's Health.Annual review of biomedical data science · 2023
    Review
  14. Article
  15. Review
  16. Article
  17. 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.

Laura HallamThe George Institute for Global Health, University of New South Wales, Sydney, Australia.ORCID 0000-0002-9912-0437
Amy VassalloThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Ana-Catarina Pinho-GomesThe George Institute for Global Health, School of Public Health, Imperial College London, London, United Kingdom.
Cheryl CarcelThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Mark WoodwardThe George Institute for Global Health, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Cardiovascular DiseasesWomen's HealthCost of IllnessFemaleHumansMenopauseMorbidityPregnancyglobal burden of diseasenoncommunicable diseasereproductive healthwomen's health

Identifiers

PMID35333604
PMCPMC9133969

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.