Evidence map›Paper›PMID 40293598›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025

Financial toxicity and its influencing factors in young and middle-aged cancer patients: a latent profile analysis.

Xue Lin, Xiaoyun Teng, Jie Lan, Lingling Lu, Qiuxiang Pan, Zhiling Ren

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In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Judicious use of latent profile analysis in supportive care: the distinction between mono- and multi-construct applications.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  3. Article
  4. 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

6 authors.

Xue LinMedical Oncology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xiaoyun TengPsychological Health Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jie LanMedical Oncology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Lingling LuMedical Oncology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Qiuxiang PanMedical Oncology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. 13557406112@163.com.
Zhiling RenPsychological Health Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. 15678856112@163.com.

Funding

Guangxi Chinese Medicine Appropriate Technology Development and Promotion Program GZSY2024058Guangxi Health and wellness commission scientific research project Z-A20230658Guangxi Medical and health key cultivation discipline construction project 2022049
6 · The paper itself

Abstract

purposeFinancial toxicity has become a global public health problem. The purpose of this study was to identify categories of financial toxicity in young and middle-aged cancer patients, where patients can be classified according to their level of financial toxicity, and to explore the factors influencing the level of financial toxicity.

methodsIn this cross-sectional study, paper-pencil questionnaires were administered to 244 young and middle-aged cancer patients. Participants completed a general information questionnaire, the Comprehensive Score for Financial Toxicity questionnaire, the Chinese version of the Demoralization Syndrome-II Scale, and the Brief 2-Way Social Support Scale. A latent profile analysis was applied to explore financial toxicity. Multi-categorical unordered logistic regression analyses were used to assess the effects of factors on the financial toxicity.

resultsFinancial toxicity among the young and middle-aged cancer patients was categorized into 3 groups: low financial toxicity (10.7%), medium financial toxicity (34.8%), and high financial toxicity (54.5%). Multi-categorical unordered logistic regression analyses showed that education level, time since diagnosis, household disposable savings, cost of treatment in the last 3 months, receiving emotional support, receiving instrumental support score, meaning and purpose score, and suffering and coping score were the factors influencing the level of financial toxicity in young and middle-aged cancer patients.

conclusionsThe financial toxicity of young and middle-aged cancer patients in this study can be categorized into three potential categories, each of which is influenced by multiple factors. These can help healthcare professionals to develop targeted interventions based on their categorical characteristics in different profiles.

Indexed as

NeoplasmsAdultAge FactorsChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedSocial SupportSurveys and QuestionnairesYoung Adult2-Way social supportCancerDemoralization syndromeFinancial toxicityLatent profile analysisYoung and middle-aged

Identifiers

PMID40293598

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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.