Evidence map›Paper›PMID 41014025›Full record

ArticleCancer medicine2025

Exploring the Influence of Sex and Gender on Cancer: A Comprehensive Analysis.

Teresa Gisinger, Alexandra Kautzky-Willer, Alexander Kautzky

Abstract read
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Teresa GisingerUnit of Gender Medicine, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-8819-4425
Alexandra Kautzky-WillerUnit of Gender Medicine, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Alexander KautzkyDepartment of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOur aim was to untangle the effect of biological sex and psychosocial gender on rates of self-reported cancer.

methodsFor this study, the Austrian Health Information Survey 2019 was used. Individuals with cancer (n = 415) were selected and divided by sex (female 53.3%). Descriptive results were reported as mean/standard deviation or frequency/percentage. Next, the cancer versus non-cancer and female versus male cancer cohorts were compared by using a chi-square test or an unpaired t-test. By logistic regression models adjusted by age, the association of cancer, biological sex, and gender-related variables (including employment status, educational level, marital status, household income and size) was investigated in the total cohort, as well as stratified by sex.

resultsSelf-reported cancer was positively related with being unemployed/retired versus employed (OR 2.06, p < 0.001), being married versus single (OR 1.90, p = 0.005), household size over 1 compared to 1 (OR 1.42, p = 0.025), self-reported depression (OR 2.13, p < 0.001), and former smoking (OR 1.84, p < 0.001). A negative relation between having cancer and being a daily smoker was seen (OR 0.22, p = 0.006). No association between cancer and biological sex was found. Similar correlations of gender-related variables on cancer rates were found in the sex-disaggregated analyses; however, marital status as well as daily smoking were not associated with cancer diagnosis in males. In contrast to males, in females former smoking and alcohol consumption showed no association with cancer rates.

conclusionOur findings suggest that gender-related variables, rather than biological sex, are associated with sel-reported cancer.

Indexed as

NeoplasmsAdultAgedAustriaFemaleHealth SurveysHumansMaleMarital StatusMiddle AgedRisk FactorsSelf ReportSex FactorsSocioeconomic Factorsbiological differencescancer riskgender medicinegender‐related variablessex differences

Identifiers

PMID41014025
PMCPMC12475506

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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.