Evidence map›Paper›PMID 41945963›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2026

Scoring System for Predicting Breast Cancer Risk Among Women in Regions with Limited Healthcare Infrastructure in Indonesia.

Ricvan Dana Nindrea, Milya Novera, Syahrial Syahrial, Nabil Aresto Avilla, Fanisha Anugrah Rahmadhani Putri

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2026. 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

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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

5 authors.

Ricvan Dana NindreaDepartment of Medicine, Faculty of Medicine, Universitas Negeri Padang, Bukittinggi, Indonesia.ORCID 0000-0002-1844-3323
Milya NoveraDepartment of Nursing, Faculty of Psychology and Health Sciences, Universitas Negeri Padang, Padang, Indonesia.
Syahrial SyahrialDepartment of Nutrition, Faculty of Public Health, Universitas Andalas, Padang, Indonesia.
Nabil Aresto AvillaDepartment of Medicine, Faculty of Medicine, Universitas Negeri Padang, Bukittinggi, Indonesia.
Fanisha Anugrah Rahmadhani PutriDepartment of Medicine, Faculty of Medicine, Universitas Negeri Padang, Bukittinggi, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBreast cancer (BC) remains the most common malignancy and a leading cause of cancer-related mortality among Indonesian women, with many cases detected at advanced stages due to limited screening and healthcare resources. Existing risk prediction models, developed in Western populations, may not adequately capture locally relevant determinants.

methodsA hospital-based case-control study was conducted at a national referral hospital in West Sumatra, Indonesia. A total of 250 histologically confirmed BC cases and 250 age-matched controls were enrolled. Data on reproductive, familial, and lifestyle factors were collected using structured questionnaires and medical records. Logistic regression was applied to identify significant predictors, which were then integrated into a scoring system. The discriminatory ability was assessed using receiver operating characteristic (ROC) analysis.

resultsSignificant predictors of BC included late menopause (≥50 years; adjusted OR 4.50), first pregnancy at ≥30 years (AOR 2.70), family history of BC (first-degree AOR 30.22; second-degree AOR 3.82), short breastfeeding duration (<12 months; AOR 41.24), long-term oral contraceptive use (≥12 months; AOR 1.94), overweight (AOR 2.37), obesity (AOR 3.94), high-fat diet (AOR 25.75), low physical activity (AOR = 14.29), moderate physical activity (AOR = 4.08). The scoring system, with a maximum score of 18, demonstrated excellent predictive accuracy (AUC 0.907; 95% CI: 0.879-0.931). A cut-off score >5 provided optimal sensitivity (84%) and specificity (80%).

conclusionThe proposed scoring system offers a practical, context-specific tool for early risk assessment of breast cancer in Indonesian women, particularly in regions with limited healthcare infrastructure. Its implementation may support targeted screening and resource allocation.

Indexed as

Breast NeoplasmsAdultCase-Control StudiesFemaleFollow-Up StudiesHumansIndonesiaLife StyleMiddle AgedPrognosisRisk AssessmentRisk Factorsbreast cancerIndonesiareproductive factorsrisk predictionscoring system

Identifiers

PMID41945963
PMCPMC13614492

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.