Evidence map›Paper›PMID 34682891›Full record

ReviewJournal of clinical medicine2021

The Person's Care Requires a Sex and Gender Approach.

Ilaria Campesi, Andrea Montella, Giuseppe Seghieri, Flavia Franconi

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Sex-Gender-Based Differences in Metabolic Diseases.Handbook of experimental pharmacology · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Sex differences in the human metabolome.Biology of sex differences · 2022
    Review
  14. Observational
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

4 authors.

Ilaria CampesiLaboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, 07100 Sassari, Italy.ORCID 0000-0002-1681-6448
Andrea MontellaDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-5514-4453
Giuseppe SeghieriDepartment of Epidemiology, Regional Health Agency of Tuscany, 50124 Florence, Italy.
Flavia FranconiLaboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, 07100 Sassari, Italy.

Funding

Università degli Studi di Sassari FAR 2019 and 2020
6 · The paper itself

Abstract

There is an urgent need to optimize pharmacology therapy with a consideration of high interindividual variability and economic costs. A sex-gender approach (which considers men, women, and people of diverse gender identities) and the assessment of differences in sex and gender promote global health, avoiding systematic errors that generate results with low validity. Care for people should consider the single individual and his or her past and present life experiences, as well as his or her relationship with care providers. Therefore, intersectoral and interdisciplinary studies are urgently required. It is desirable to create teams made up of men and women to meet the needs of both. Finally, it is also necessary to build an alliance among regulatory and ethic authorities, statistics, informatics, the healthcare system and providers, researchers, the pharmaceutical and diagnostic industries, decision makers, and patients to overcome the gender gap in medicine and to take real care of a person in an appropriate manner.

Indexed as

caregiverdoctors’ prescribing patternsinterdisciplinarysex–gendersocial aspects

Identifiers

PMID34682891
PMCPMC8541070

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.