Evidence map›Paper›PMID 39902325›Full record

SynthesisPeerJ2025

Bidirectional association between breast cancer and dementia: a systematic review and meta-analysis of observational studies.

Fuxing Bao, Liang Yu, Xiaolei Zhang, Qier Mu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PeerJ, 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. 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

4 authors.

Fuxing BaoDepartment of Ultrasound, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, Inner Mongolia, China.
Liang YuDepartment of Ultrasound, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, Inner Mongolia, China.
Xiaolei ZhangDepartment of Ultrasound, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, Inner Mongolia, China.
Qier MuDepartment of Ultrasound, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, Inner Mongolia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive decline following cancer treatment can vary from mild cognitive impairment to severe dementia. However, there is inconsistent evidence regarding the relationship between breast cancer survivors and their risk of developing dementia. This meta-analysis aims to consolidate observational studies to explore the bidirectional association between breast cancer and dementia risk. Methods: We conducted a comprehensive search using medical subject headings (MeSH) and keywords across PubMed, Cochrane Library, and Embase databases to identify cohort, case-control, and cross-sectional studies examining the link between breast cancer and dementia risk. Statistical analysis was performed using Stata version 14.0, with a random effects model employed to account for heterogeneity. Publication bias was assessed using funnel plots and Egger's test. Results: This meta-analysis included 13 studies with a total of 346,051 participants, up to June 20, 2024. Of these, seven studies investigated the risk of dementia among patients with breast cancer, revealing a lower risk [OR = 0.56, 95% CI [0.27-1.18], I Conclusion: Our findings indicate that breast cancer is less likely to lead to dementia and that dementia is similarly low associated with risk of breast cancer. These insights are crucial for clinicians in guiding the prevention and monitoring of neurodegenerative conditions in patients with breast cancer.

Indexed as

Breast NeoplasmsDementiaFemaleHumansObservational Studies as TopicRisk FactorsBreast cancer survivorsDementiaMeta-analysisObservational study

Identifiers

PMID39902325
PMCPMC11789662

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.