Evidence map›Paper›PMID 41563623›Full record

ArticleEndocrine2026

Health-related quality of life and predictors in differentiated thyroid cancer patients during the transitional period: A Cross-sectional study.

Jie Gao, Yang Yu, Juan Li, Xin Wang, Lan Wang

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Article in Endocrine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Jie GaoNational Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Basic and Translational Medicine on Head & Neck Cancer, Tianjin Medical University Cancer Institute & Hospital, 300060, Tianjin, China.
Yang YuNational Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Basic and Translational Medicine on Head & Neck Cancer, Tianjin Medical University Cancer Institute & Hospital, 300060, Tianjin, China.
Juan LiNational Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Basic and Translational Medicine on Head & Neck Cancer, Tianjin Medical University Cancer Institute & Hospital, 300060, Tianjin, China.
Xin WangNational Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Basic and Translational Medicine on Head & Neck Cancer, Tianjin Medical University Cancer Institute & Hospital, 300060, Tianjin, China.
Lan WangSchool of Nursing, Tianjin Medical University, 300070, Tianjin, China. wangl0423@tmu.edu.cn.

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6 · The paper itself

Abstract

backgroundDespite the increasing prevalence of differentiated thyroid cancer (DTC) in mainland China, the health-related quality of life (HRQoL) of DTC patients remains suboptimal. The transitional period from hospital to home is crucial for patients to adapt to their new status as survivors. However, such patients usually face several challenges and their HRQoL remains poorly understood. Therefore, this study aimed to explore the HRQoL and predictors in Chinese DTC patients during the transitional period.

methodsThis single-center cross-sectional study including 300 patients was conducted in China. Patients completed the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire, the Thyroid Cancer-Specific Quality of Life Questionnaire, and psychosocially relevant questionnaires. Cluster analysis, univariate logistic regression, and multivariate logistic regression analysis were used to determine the number of HRQoL clusters and predictors of HRQoL in DTC patients, respectively.

resultsThe HRQoL of DTC patients during the transitional period were divided into two phenotypes: high HRQoL (69.3%) and low HRQoL (30.7%). Patients with low HRQoL exhibited the lowest scores in global health status, role functioning, and cognitive functioning. In the symptom subscales, scar, fatigue, and voice problems were the three highest results. In addition, age, fatigue, psychological distress, and illness perception were associated with low HRQoL of DTC patients during this period.

conclusionsDespite the favorable prognosis in DTC patients, approximately one-third suffer from undesirable levels of HRQoL during the transitional period, manifesting as a decline in role functioning and cognitive functioning, and exhibiting scars, fatigue, and voice problems. DTC patients, particularly those aged 18 ~ 39 and over 55 years, those prone to fatigue, those experiencing psychological distress, and those with poor illness perception, are more likely to have poor HRQoL, which should be a primary emphasis for healthcare professionals involved in follow-up.

Indexed as

Quality of LifeThyroid NeoplasmsAdultAgedChinaCross-Sectional StudiesFatigueFemaleHealth StatusHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultCluster analysisHealth-related quality of lifeThyroid cancerTransitional period

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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.