Evidence map›Paper›PMID 41158532›Full record

ReviewEndocrine oncology (Bristol, England)2025

Impact of single nucleotide variants in estrogen genes on ovarian cancer risk: a systematic review and meta-analysis.

M P Aguiar, M O Gomes, L F Ananias, L F Silva-Martins, A P Espindula

Abstract readReview
In one paragraph

Review in Endocrine oncology (Bristol, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

M P AguiarHealth Science Program, Federal University of Triângulo Mineiro, Uberaba, Brazil.
M O GomesHealth Science Program, Federal University of Triângulo Mineiro, Uberaba, Brazil.
L F AnaniasHealth Science Program, Federal University of Triângulo Mineiro, Uberaba, Brazil.
L F Silva-MartinsHealth Science Program, Federal University of Triângulo Mineiro, Uberaba, Brazil.
A P EspindulaHealth Science Program, Federal University of Triângulo Mineiro, Uberaba, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer research increasingly emphasizes the role of genetic factors, particularly estrogen, a key hormone also implicated in breast cancer. Hypotheses such as incessant ovulation and hormonal stimulation of ovarian epithelial cells support a hormonal etiology for ovarian cancer. This systematic review and meta-analysis evaluated the association between estrogen-related gene polymorphisms and ovarian cancer susceptibility. A comprehensive search was conducted in EMBASE, LILACS, PubMed, Scopus, Web of Science, and Google Scholar. Study selection, data extraction, and risk of bias assessment were performed independently by five reviewers. We included observational studies in humans, with no restrictions on language or publication date that investigated associations between estrogen-related gene polymorphisms and ovarian cancer occurrence or susceptibility. Exclusion criteria included studies not addressing the research question, those involving non-human subjects, secondary analyses, and genes unrelated to estrogen. Thirty studies met inclusion criteria. Meta-analysis showed that the A allele of rs4680 in the

Indexed as

estrogengeneticovarian cancerpolymorphism

Identifiers

PMID41158532
PMCPMC12558086

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.