Evidence map›Paper›PMID 42008156›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

"When symptoms interact and change": longitudinal network analysis of dynamic symptom changes in oral cancer patients.

Jingya Yu, Yu Zhang, Xuemei Yang, Lixia Kuang, Xiaoqin Bi

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 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 · Who and what money

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5 authors.

Jingya Yu *State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department Of Orthognathic and TMJ Surgery, West China Hospital of Stomatology, Sichuan University, No. 14, Section Three, Ren Min Nan Road, Chengdu, 610041, Sichuan, China.
Yu Zhang *Department of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
Xuemei YangState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department Of Orthognathic and TMJ Surgery, West China Hospital of Stomatology, Sichuan University, No. 14, Section Three, Ren Min Nan Road, Chengdu, 610041, Sichuan, China.
Lixia KuangDepartment of Hepatobiliary, Chongqing Fuling Hospital, School of Medicine, Chongqing University, Chongqing, 408000, China.
Xiaoqin BiState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department Of Orthognathic and TMJ Surgery, West China Hospital of Stomatology, Sichuan University, No. 14, Section Three, Ren Min Nan Road, Chengdu, 610041, Sichuan, China. hxbxq@163.com.

Funding

Medical Research Project of the Chengdu Health Commission 2022015Medical Research Topic in Sichuan Province S23099Sichuan Science & Technology Project 2022JDKP0007
6 · The paper itself

Abstract

purposeOral cancer patients experience a heavy and fluctuating symptom burden during the perioperative period, which may compromise recovery and quality of life (QoL). This study aimed to characterize dynamic symptom networks to identify core symptoms and their trajectories across surgical stages.

methodsIn this longitudinal study, 597 oral cancer patients were recruited from a tertiary hospital in China between September 2023 and October 2024. Symptoms were assessed using the MD Anderson Symptom Inventory for Head and Neck Cancer (MDASI-H&N) at admission (T1), postoperative day 3 (T2), day 7 (T3), and 1 month after surgery (T4). Network analysis was applied to identify core symptoms and clusters, and cross-lagged panel modeling was used to examine temporal inter-symptom relationships.

resultsA total of 527 patients were analyzed. Across the perioperative course, up to four clusters emerged; oral function-related and psychosomatic clusters consistently dominated. At T1-T2, the strongest cross-lagged effect was observed between distress and sleep disturbance (βCL = 0.13), with restless sleep showing the greatest strength (rIS = 2.38). From T2-T3, dental/gum problems predicted swallowing/chewing difficulty (βCL = 0.15), which had the highest in-strength (rIS = 0.96). QoL was most negatively associated with fatigue at T1 (r = -0.13) and with swallowing/chewing difficulty at T4 (r = -0.40).

conclusionCore symptom clusters remained stable, but specific core and bridging symptoms shifted by stage. Symptom complexity peaked on postoperative day 3, identifying a critical intervention window. These findings provide evidence to guide precise, stage-specific symptom management and improve outcomes in oral cancer care.

Indexed as

Mouth NeoplasmsQuality of LifeAdultAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedSleep Wake DisordersSymptom BurdenLongitudinal studyOral cancerSurgerySymptom managementSymptom network

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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 Socratic graph.