Evidence map›Paper›PMID 40885809›Full record

SynthesisBreast cancer (Tokyo, Japan)2025

The association between neighborhood socioeconomic status and breast cancer incidence and mortality risk: a large-scale cohort studies systematic review and meta-analysis.

Faramarz Jalili, Mohammad Hajizadeh, Sanaz Mehrabani, Seyed Mojtaba Ghoreishy, Shirley Hodder

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Breast cancer (Tokyo, Japan), 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. Article
  2. 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.

Faramarz JaliliSchool of Health Administration, Faculty of Health, Dalhousie University, Halifax, NS, Canada. FJalili@dal.ca.ORCID http://orcid.org/0000-0002-9344-8941
Mohammad HajizadehSchool of Health Administration, Faculty of Health, Dalhousie University, Halifax, NS, Canada.
Sanaz MehrabaniNutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Seyed Mojtaba GhoreishyDepartment of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Shirley HodderSchool of Health Administration, Faculty of Health, Dalhousie University, Halifax, NS, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBreast cancer (BC) remains one of the leading causes of cancer-related incidence and mortality globally, with growing evidence suggesting that neighborhood socioeconomic status (n-SES) can influence cancer incidence and survival. However, findings across studies remain inconsistent, and the extent to which n-SES impacts BC outcomes has not been comprehensively understood. A thorough systematic review and meta-analysis were conducted to assess the association of neighborhood socioeconomic status n-SES and BC incidence and mortality risk.

methodsA thorough investigation of existing literature was conducted by applying ISI Web of Science, PubMed/MEDLINE, and Scopus until June 08, 2025. Hazard ratios (HR), along with their respective 95% confidence intervals (CI), were integrated utilizing a random-effects model. A validated approach was utilized for assessing the quality of the studies and identification of publication bias, employing the Newcastle-Ottawa Scale for the assessment of quality, conducting subgroup analyses to identify potential sources of heterogeneity, and applying Egger's regression to detect publication bias and perform sensitivity analyses.

resultsA total of 17 studies with 779,352 adult subjects were found. The results revealed no association of significance among disadvantaged n-SES and BC incidence risk (HR = 1.19; 95% CI 0.86, 1.65; I

conclusionDisadvantaged n-SES is identified as a significant element to higher death rates related to BC. By understanding the root causes of inequalities in BC incidence and mortality across different socioeconomic environments, targeted interventions can be tailored to meet the specific needs of vulnerable individuals, ultimately leading toward improved BC outcomes for those at greatest risk.

Indexed as

Breast NeoplasmsNeighborhood CharacteristicsResidence CharacteristicsSocial ClassCohort StudiesFemaleHumansIncidenceRisk FactorsBreast cancerIncidenceMeta-analysisMortalityNeighborhood socioeconomic statusSystematic review

Identifiers

PMID40885809

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.