Evidence map›Paper›PMID 37173796›Full record

ArticleBiology of sex differences2023

Sex and gender differences in drug treatment: experiences from the knowledge database Janusmed Sex and Gender.

Linnéa Karlsson Lind, Diana M Rydberg, Karin Schenck-Gustafsson

Abstract readLetter
In one paragraph

Article in Biology of sex differences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

3 authors.

Linnéa Karlsson LindHealth and Medical Care Administration, Region Stockholm, Stockholm, Sweden.
Diana M RydbergDepartment of Medicine Solna, Karolinska Institutet, Stockholm, Sweden. diana.rydberg@ki.se.ORCID 0000-0003-1062-2762
Karin Schenck-GustafssonCentre for Gender Medicine, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence from clinical research indicates that men and women can differ in response to drug treatment. The knowledge database Janusmed Sex and Gender was developed to illuminate potential sex and gender differences in drug therapy and, therefore, achieve a better patient safety. The database contains non-commercial evidence-based information on drug substances regarding sex and gender aspects in patient treatment. Here, we describe our experiences and reflections from collecting, analyzing, and evaluating the evidence. JANUSMED SEX AND GENDER: Substances have been systematically reviewed and classified in a standardized manner. The classification considers clinically relevant sex and gender differences based on available evidence. Mainly biological sex differences are assessed except for gender differences regarding adverse effects and compliance. Of the 400 substances included in the database, clinically relevant sex differences were found for 20%. Sex-divided data were missing for 22% and no clinically relevant differences were found for more than half of the substances (52%). We noted that pivotal clinical studies often lack sex analyses of efficacy and adverse effects, and post-hoc analyzes are performed instead. Furthermore, most pharmacokinetic analyses use weight correction, but medicines are often prescribed in standard doses. In addition, few studies have sex differences as a primary outcome and some pharmacokinetic analyses are unpublished, which may complicate the classification of evidence.

conclusionsOur work underlines the need of sex and gender analyses, and sex-divided data in drug treatment, to increase the knowledge about these aspects in drug treatment and contribute to a more individualized patient treatment.

Indexed as

Drug-Related Side Effects and Adverse ReactionsFemaleHumansMaleSex FactorsDrug informationGender differencesKnowledge databaseSex differences

Identifiers

PMID37173796
PMCPMC10182642

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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.