Evidence map›Paper›PMID 42634622›Full record

ReviewCureus2026

Psychosocial Effect of Appearance Changes Associated With Cancer: A Scoping Review.

Madoka Wakabayashi, Koji Tanaka, Kyoko Nagata

Abstract readReview
In one paragraph

Review in Cureus, 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

3 authors.

Madoka WakabayashiGraduate School of Medical Sciences, Division of Health Sciences, Kanazawa University, Kanazawa, JPN.
Koji TanakaFaculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, JPN.
Kyoko NagataFaculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This scoping review aimed to synthesize the psychosocial effects of appearance changes and identify knowledge gaps. Cancer, along with its treatment, often leads to changes in appearance. Understanding the psychosocial effects of these changes is crucial for improving the quality of life of cancer survivors. The scoping review of the peer-reviewed literature was conducted using systematic search of PubMed, CINAHL, and PsycARTICLES databases from 2014 to April 2024. Twenty-six studies addressing appearance changes related to specific cancer types, survivor demographics, treatment stages, or providing a comprehensive overview irrespective of cancer type or attributes were reviewed. Key findings were psychosocial effects based on survivors' age and cancer type, universal psychosocial effects transcending cancer types and treatment methods, the need for appearance-related care, and the gap between survivors' needs and the care provided. Overall, this review highlights that appearance changes are associated with significant psychosocial challenges across diverse groups of cancer survivors and remain insufficiently addressed in current care. To bridge the gap between the needs of cancer survivors and appearance care provided by healthcare professionals, further appearance-related research is essential. Additionally, research should focus on promoting the socialization of appearance care by fostering collaboration not only within the medical field but also with domains such as the beauty industry.

Indexed as

cancercomplementary/alternative health practiceshealth and social care policymental healthpatient experience

Identifiers

PMID42634622
PMCPMC13499694

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.