Evidence map›Paper›PMID 40597060›Full record

SynthesisBMC cancer2025

Breast cancer determinants in low- to upper-middle-income countries: an umbrella review of meta-analyses of observational studies and an urgent call for implementation science.

Mitiku Bonsa Debela, Kebebe Bekele Gonfa, Mohammedaman Mama Hussen, Demisu Zenbaba, Alemayehu Bayray Kahsay, Besufekad Mulugeta, Muhammad Hoque, Chalchisa Abdeta

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 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

8 authors.

Mitiku Bonsa DebelaGoba Referral Hospital, Madda Walabu University, Bale-Goba, Ethiopia. mitikubonsa8@gmail.com.
Kebebe Bekele GonfaGoba Referral Hospital, Madda Walabu University, Bale-Goba, Ethiopia.
Mohammedaman Mama HussenGoba Referral Hospital, Madda Walabu University, Bale-Goba, Ethiopia.
Demisu ZenbabaGoba Referral Hospital, Madda Walabu University, Bale-Goba, Ethiopia.
Alemayehu Bayray KahsaySchool of Public health, College of health sciences, Mekelle University, Mekelle, Ethiopia.
Besufekad MulugetaMathiwos Wondu-YeEthiopia cancer societies, Addis Ababa, Ethiopia.
Muhammad HoqueDepartments of Public Health, Sefako Makgatho Health Sciences University, Pretoria, South Africa.
Chalchisa AbdetaEarly start, University of Wollongong, Wollongong, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMeta-analyses on breast cancer determinants in low- and middle-income countries (LMICs), including upper-middle-income countries (UMICs), often produce fragmented, context-specific findings. This umbrella review provides a consolidated synthesis to identify consistent risk factors and strengthen the evidence base for guiding targeted public health strategies. METHODS AND MATERIALS: In accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted a systematic search for meta-analyses across multiple databases. Study quality was assessed using the AMSTAR 2 (A Measurement Tool to Assess Systematic Reviews) tool. Data were analyzed using STATA version 14, applying a random-effects model to estimate pooled effect sizes with 95% confidence intervals. Forest plots were used to visualize determinants. Publication bias was assessed through funnel plots and Egger's test, while heterogeneity was evaluated using the I-squared (I²) statistic and Galbraith plots. Sensitivity analysis was performed to assess small-study effects.

resultsOut of 1,515 publications reviewed, 35 met the inclusion criteria. Eight determinants of breast cancer showed convincing evidence under the random-effects model: being overweight (POR = 1.16, 95% CI: 1.09-1.23), oral contraceptive use (POR = 1.19, 95% CI: 1.11-1.27), family history of breast cancer (POR = 2.26, 95% CI: 1.84-2.67), age ≥ 40 years (POR = 1.82, 95% CI: 1.60-2.05), smoking history (POR = 1.22, 95% CI: 1.11-1.34), exposure to air pollution (POR = 1.03, 95% CI: 1.01-1.05), higher fruit and vegetable consumption (POR = 0.82, 95% CI: 0.71-0.92), and history of night work (POR = 1.14, 95% CI: 1.02-1.25).

conclusionsThis umbrella review identified eight key breast cancer risk factors. Non-modifiable factors like age ≥ 40 and family history, along with modifiable factors such as overweight, smoking, oral contraceptive use, air pollution, and night shift work, increased the odds of breast cancer. Adequate fruit and vegetable intake was linked to reduced odds, suggesting a protective effect. We recommend that public health strategies promote healthy lifestyles and target high-risk groups through early screening and awareness campaigns, using evidence-based interventions to reduce the breast cancer burden.

Indexed as

Breast NeoplasmsDeveloping CountriesFemaleHumansImplementation ScienceMeta-Analysis as TopicObservational Studies as TopicRisk FactorsBreast cancerDeterminantsLow- and middle-income countriesUmbrella reviewUpper-middle-income countries

Identifiers

PMID40597060
PMCPMC12211264

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.