Evidence map›Paper›PMID 34063786›Full record

ArticleJournal of personalized medicine2021

Sex as a Prognostic Factor in Systematic Reviews: Challenges and Lessons Learned.

Elena Stallings, Alba Antequera, Jesús López-Alcalde, Miguel García-Martín, Gerard Urrútia, Javier Zamora

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

6 authors.

Elena StallingsClinical Biostatistics Unit, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain.ORCID 0000-0002-3386-3406
Alba AntequeraSant Pau Institute for Biomedical Research (IIB Sant Pau), 08041 Barcelona, Spain.ORCID 0000-0002-1670-6302
Jesús López-AlcaldeClinical Biostatistics Unit, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain.ORCID 0000-0002-1598-8790
Miguel García-MartínCIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.ORCID 0000-0003-0381-3069
Gerard UrrútiaCIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
Javier ZamoraClinical Biostatistics Unit, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain.

Funding

Instituto de Salud Carlos III PIE16/00050
6 · The paper itself

Abstract

Sex is a common baseline factor collected in studies that has the potential to be a prognostic factor (PF) in several clinical areas. In recent years, research on sex as a PF has increased; however, this influx of new studies frequently shows conflicting results across the same treatment or disease state. Thus, systematic reviews (SRs) addressing sex as a PF may help us to better understand diseases and further personalize healthcare. We wrote this article to offer insights into the challenges we encountered when conducting SRs on sex as a PF and suggestions on how to overcome these obstacles, regardless of the clinical domain. When carrying out a PF SR with sex as the index factor, it is important to keep in mind the modifications that must be made in various SR stages, such as modifying the PF section of CHARMS-PF, adjusting certain sections of QUIPS and extracting data on the sex and gender terms used throughout the studies. In this paper, we provide an overview of the lessons learned from carrying out our reviews on sex as a PF in different disciplines and now call on researchers, funding agencies and journals to realize the importance of studying sex as a PF.

Indexed as

gendermethodsprognosisprognostic factorsexsystematic review

Identifiers

PMID34063786
PMCPMC8223789

What OpenQuestion holds

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Registered trials

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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.