Evidence map›Paper›PMID 40271527›Full record

ArticleAsia-Pacific journal of oncology nursing2025

A cross-sectional study on knowledge, attitude and practice of osteoporosis prevention in patients with breast cancer undergoing endocrine therapy: A cross-sectional study.

Yan Ma, Yun Li, Weiwu Lu, Lichen Tang, Ping Li, Jiajia Qiu, Zhenqi Lu

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 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

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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

7 authors.

Yan MaDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, China.
Yun LiDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, China.
Weiwu LuDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, China.
Lichen TangDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, China.
Ping LiDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiajia QiuDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhenqi LuDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to understand the current status of knowledge, health beliefs, and behavior related to osteoporosis prevention in patients with breast cancer during endocrine therapy and to analyze its influencing factors. Methods: From December 2022 to June 2023, convenience sampling was used to investigate patients with breast cancer receiving endocrine therapy in a Class III Grade A hospital in Shanghai using the general information questionnaire, Osteoporosis-Related preventive Behavior Questionnaire, Osteoporosis Knowledge Questionnaire (OKT), and Osteoporosis Health Belief Scale (OHBS). Results: Four hundred thirty-five questionnaires were distributed, and 403 valid questionnaires were collected, with an effective recovery rate of 92.6%. OKT failed in 282 cases (70.0%), and the standard score was (52.53 ​± ​12.01). The standard score of OHBS was (72.46 ​± ​5.79). The results of univariate analysis showed that age was negatively correlated with daily sunshine time. It was positively correlated with calcium/vitamin D supplementation and bone mineral density measurement. Multiple linear regression analysis showed that age and education level influenced OKT and OHBS scale scores ( Conclusions: Patients with breast cancer with endocrine therapy have poor knowledge of osteoporosis and low levels of health belief, and most of them have wrong prevention behaviors.

Indexed as

Bone healthBreast cancerEndocrine therapyKnowledgeOsteoporosisSelf efficacy

Identifiers

PMID40271527
PMCPMC12017996

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.