Evidence map›Paper›PMID 40611054›Full record

ArticleBMC surgery2025

Predictors of return-to-work after thyroid cancer surgery based on random forest model: a cross-sectional study.

Xiaoxia Tang, Xiaolin Yi, Huina Mao, Mei Wang, Rui Chen, Aoxue Zhu

Abstract read
In one paragraph

Article in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaoxia TangZhujiang Hospital of Southern Medical University, Guangzhou, China.
Xiaolin Yi *Zhujiang Hospital of Southern Medical University, Guangzhou, China. xiao8908@yeah.net.
Huina Mao *Zhujiang Hospital of Southern Medical University, Guangzhou, China. maohuina2@126.com.
Mei WangZhujiang Hospital of Southern Medical University, Guangzhou, China.
Rui ChenZhujiang Hospital of Southern Medical University, Guangzhou, China.
Aoxue ZhuZhujiang Hospital of Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThyroid cancer (TC) is the most prevalent malignancy among middle-aged and young adults. Many patients will face the challenge of return-to-work (RTW) after TC surgery. If patients cannot return to work successfully, it may affect their social recovery and quality of life. This study used the random forest algorithm to identify the predictors of RTW after TC surgery.

methodsA cross-sectional study was conducted, encompassing a sample of 242 patients who underwent TC surgery in Zhujiang Hospital of Southern Medical University from April to December 2023. The participants completed questionnaires including the general information questionnaire, the Return-To-Work Self-Efficacy Questionnaire (RTW-SE), the Cancer Fatigue Scale (CFS), and the Vancouver Scar Scale (VSS). In this study, the predictors of RTW after TC surgery were analyzed by univariate analysis, multiple logistic regression, and random forest model (RFM).

resultsThe final 229 TC patients were included in this study, of which 183 (79.9%) returned to work, of which 46 (20.1%) failed to return to work. The median time of RTW was 30.00(14.00, 33.75) days after TC surgery. The RFM indicated that RTW-SE was a key predictor related to RTW after TC surgery and other predictors were ranked in order of importance as follows: postoperative time, neck scar (NS), medical insurance, complications, and rehabilitation exercise.

conclusions20.1% (46/229) of patients still failed to return to work after TC surgery. Healthcare professionals ought to emphasize the importance of modifiable factors, improving TC patients' RTW-SE, reducing the formation of NS, minimizing the occurrence of complications, and promoting rehabilitation exercise may help to facilitate RTW after TC surgery.

Indexed as

Return to WorkThyroidectomyThyroid NeoplasmsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedQuality of LifeRandom ForestSurveys and QuestionnairesRandom forest modelReturn to workSelf-efficacyThyroid cancer surgery

Identifiers

PMID40611054
PMCPMC12224761

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LicenceCC BY-NC-ND
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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.