Evidence map›Paper›PMID 41852755›Full record

ArticleAsia-Pacific journal of oncology nursing2026

Development and validation of an online nomogram to predict breast cancer screening participation among high-risk women: A cross-sectional study.

Linping Zhang, Xiaoxu Li, Mengjiao Xu, Suting Zhang, Ting Luo, Mi Zhao, Jing Han, Shuo Wang

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Linping ZhangSchool of Nursing, Xuzhou Medical University, Xuzhou, China.
Xiaoxu LiDepartment of Thyroid and Breast Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Mengjiao XuSchool of Nursing, Xuzhou Medical University, Xuzhou, China.
Suting ZhangSchool of Nursing, Xuzhou Medical University, Xuzhou, China.
Ting LuoSchool of Nursing, Xuzhou Medical University, Xuzhou, China.
Mi ZhaoSchool of Nursing, Xuzhou Medical University, Xuzhou, China.
Jing HanSchool of Nursing, Xuzhou Medical University, Xuzhou, China.
Shuo WangSchool of Nursing, Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to identify determinants of breast cancer screening participation among high-risk women and to develop an online nomogram to facilitate individualized risk prediction. Methods: A cross-sectional study was conducted among 463 women at high risk for breast cancer between January and June 2024. Data were collected using structured questionnaires assessing sociodemographic characteristics, breast cancer screening knowledge, health beliefs, and self-efficacy. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of screening participation. A nomogram was subsequently constructed to visually estimate the probability of screening uptake based on significant predictors. Results: The screening participation rate was 57.7%. Seven independent predictors were identified: breastfeeding history, regular health checkups, history of benign breast disease, recommendation from health professionals, screening knowledge level, perceived susceptibility, and perceived barriers. The nomogram demonstrated good discriminatory performance and provided an intuitive tool for estimating individualized screening probability. Conclusions: Breast cancer screening participation among high-risk women remains insufficient. The developed online nomogram offers a practical tool for identifying women at lower likelihood of screening participation and may assist health care providers in implementing targeted, evidence-based interventions to enhance screening uptake.

Indexed as

Breast cancerCancer screeningHigh-risk populationsInfluencing factorsNomogram

Identifiers

PMID41852755
PMCPMC12992961

What Socratic 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 Socratic graph.