Evidence map›Paper›PMID 41142678›Full record

ArticlePreventive medicine reports2025

Breast cancer screening in women aged 75 and older: Insights from an aging region in Japan.

Kaolu Sato, Akihiko Furuta, Haruhiko Shindo, Mii Shibahara, Sakurako Ishikawa, Miku Kurusu, Minoru Miyashita

Abstract read
In one paragraph

Article in Preventive medicine reports, 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. 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

7 authors.

Kaolu SatoDepartment of Breast Surgery, Japan Red Cross Ishinomaki Hospital, Japan.
Akihiko FurutaDepartment of Breast Surgery, Japan Red Cross Ishinomaki Hospital, Japan.
Haruhiko ShindoDepartment of Breast Surgery, Japan Red Cross Ishinomaki Hospital, Japan.
Mii ShibaharaDepartment of Breast Surgery, Japan Red Cross Ishinomaki Hospital, Japan.
Sakurako IshikawaDepartment of Breast Surgery, Japan Red Cross Ishinomaki Hospital, Japan.
Miku KurusuDepartment of Breast Surgery, Japan Red Cross Ishinomaki Hospital, Japan.
Minoru MiyashitaDepartment of Breast and Endocrine Surgical Oncology, Tohoku University School of Medicine, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In Japan, breast cancer incidence and mortality are rising with population aging. Screening may be associated with lower mortality but raises concern about overdiagnosis in older adults. Current guidelines provide no clear upper age limit. This study assessed screening in women aged ≥75 in an aging region. Methods: We retrospectively analyzed 289 women aged 75-98 years (median 81) diagnosed with breast cancer at Japan Red Cross Ishinomaki Hospital (2011-2020). Patients were classified as screened (population-based screening) or non-screened (symptom- or incidentally-detected). The primary outcome was all-cause mortality. Comparisons used Mann-Whitney U, chi-square, or Fisher's exact tests. Survival was analyzed by Kaplan-Meier and log-rank tests; prognostic factors by Cox models. Results: Of 289 patients, 46 (15.9 %) were screened and 243 (84.1 %) non-screened. Screened patients were younger, had smaller tumors, fewer lymph node metastases, and more surgery. Screening was associated with lower mortality in univariate but not multivariable analysis. No breast cancer-specific deaths occurred in the screened group versus 25 (10.3 %) in the non-screened group ( Conclusions: Screening was not an independent predictor of survival but was associated with absence of breast cancer-specific deaths, supporting further studies in elderly populations.

Indexed as

Breast cancer screeningElderly womenJapanMortalityOverdiagnosisPopulation agingPublic health

Identifiers

PMID41142678
PMCPMC12550720

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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.