Evidence map›Paper›PMID 37886719›Full record

ReviewAsia-Pacific journal of oncology nursing2023

The stigma in patients with breast cancer: A concept analysis.

Jieming Wu, Ni Zeng, Liping Wang, Liyan Yao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Asia-Pacific journal of oncology nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Jieming WuSchool of Nursing, Hangzhou Normal University, Hangzhou, China.
Ni ZengSchool of Nursing, Hangzhou Normal University, Hangzhou, China.
Liping WangSchool of Nursing, Hangzhou Normal University, Hangzhou, China.
Liyan YaoSchool of Nursing, Hangzhou Normal University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Stigma is a common problem among patients having breast cancer. However, the concept of stigma is vague and not specifically described or clearly defined in the literature. The lack of description or definition has further limited stigma research among patients having breast cancer. Therefore, this study aimed to clarify and analyze the concept of stigma in patients with breast cancer. Methods: Walker and Avant's concept analysis method was applied to analyze the connotation of stigma in patients with breast cancer. PubMed, Web of Science, PsycINFO, CNKI, Wanfang, VIP, and SinoMed databases were searched from inception until May 31, 2023. Results: Five stigma-related attributes of patients having breast cancer were identified: (1) impaired body image and physiological function; (2) negative stereotypes; (3) mixed negative feelings about developing breast cancer; (4) a feeling of avoidance; (5) experienced discrimination. Antecedents included the implementation of breast surgery and postoperative time, negative psychological factors, lack of social support, and cultural beliefs. This stigma among patients having breast cancer had significant negative effects on their quality of individual life and marriage, postoperative rehabilitation, and healthcare-seeking behavior. Conclusions: The concept analysis results clarified the concept of stigma in patients with breast cancer and provided theoretical guidance for the development of the conceptual model of stigma in these patients. What is more, it offered a theoretical basis for future studies related to the development of stigma assessment tools for breast cancer patients and for devising nursing intervention strategies.

Indexed as

Breast cancerConcept analysisNursingStigma

Identifiers

PMID37886719
PMCPMC10597826

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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.