Evidence map›Paper›PMID 40256383›Full record

ArticleBelitung nursing journal2025

Factors related to stigma among patients with cervical cancer having chemotherapy after surgery in China: A cross-sectional study.

Fanglin Wang, Pornpat Hengudomsub, Chutima Chantamit-O-Pas

Abstract read
In one paragraph

Article in Belitung nursing journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Factors influencing care for patients with gynecologic malignancies from culturally and linguistically diverse backgrounds: a questionnaire study (iCALD-2).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

3 authors.

Fanglin WangFaculty of Nursing, Burapha University, Chon Buri, 20131, Thailand.ORCID https://orcid.org/0009-0000-4338-3409
Pornpat HengudomsubFaculty of Nursing, Burapha University, Chon Buri, 20131, Thailand.ORCID https://orcid.org/0000-0002-7078-4037
Chutima Chantamit-O-PasFaculty of Nursing, Burapha University, Chon Buri, 20131, Thailand.ORCID https://orcid.org/0009-0001-8667-9848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stigma is a significant issue among patients with cervical cancer undergoing postoperative chemotherapy, yet the factors contributing to stigma are not well understood. While research has explored the relationships between self-efficacy, illness perception, self-esteem, social support, and stigma, fewer studies have focused on Chinese patients, and even fewer have specifically examined stigma within this population. Objective: This study aimed to describe stigma and assess its association with self-efficacy, self-esteem, illness perception, and social support in postoperative chemotherapy patients diagnosed with cervical cancer. Methods: A total of 132 participants were recruited from the gynecology department of Wenzhou Medical University's First Affiliated Hospital using a random sampling technique. Data were collected between December 2023 and April 2024 using validated instruments. Descriptive statistics and Spearman's rank correlation were used for data analysis. Results: The average stigma score was 76.3 (SD = 10.84), indicating a high level of stigma. Self-efficacy, self-esteem, illness perception, and social support were negatively correlated with stigma ( Conclusion: All participants experienced significant stigma. The negative correlations found between stigma and self-efficacy, self-esteem, illness perception, and social support offer a theoretical basis for developing nursing interventions to reduce stigma in these patients.

Indexed as

cervical cancerchemotherapyChinaillness perceptionself-efficacyself-esteemsocial supportstigmasurgery

Identifiers

PMID40256383
PMCPMC12006815

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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.