Evidence map›Paper›PMID 41627692›Full record

ArticleAnnals of surgical oncology2026

Exploring the Dynamics of Perioperative Quality of Life in Patients with Pancreatic Cancer: A Cross-Lagged Panel Network Analysis.

Shimei Jin, Yuelin Song, Zhihua Li, Lehan Li, Yang Liu, Jun Liu, Shumei Zhuang

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Article in Annals of surgical oncology, 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

Authors and funding

7 authors.

Shimei JinSchool of Nursing, Tianjin Medical University, Tianjin, China.
Yuelin SongSchool of Nursing, Tianjin Medical University, Tianjin, China.
Zhihua LiPancreatic Cancer Department, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Lehan LiSchool of Nursing, Tianjin Medical University, Tianjin, China.
Yang LiuPancreatic Cancer Department, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Jun LiuSchool of Nursing, Tianjin Medical University, Tianjin, China.
Shumei ZhuangSchool of Nursing, Tianjin Medical University, Tianjin, China. snshumei@126.com.

Funding

Tianjin Deepening Medical and Health System Reform Research Project 2022YG06
6 · The paper itself

Abstract

purposeOur objective was to assess the perioperative quality of life (QoL) of patients with pancreatic cancer (PC) and accurately capture the complex interactions and causal pointers that contribute to fluctuations.

methodsThis longitudinal study (October 2024 to March 2025) assessed QoL in patients with PC undergoing potentially curative surgery at four stages: the day of admission (T1), 3-5 days postoperatively (T2), the day of discharge (T3), and 1 month postoperatively (T4). Analysis of variance and cross-lagged panel network (CLPN) analyzed stage differences and dynamic interactions, and centrality calculations mapped important intervention targets between stages.

resultsAmong 277 analyzed patients (89.64% response rate from 309 approached), 66.79% had ductal adenocarcinoma; the remaining cases comprised pancreatic neuroendocrine tumors (11.91%), invasive intraductal papillary mucinous neoplasms (7.58%), solid pseudopapillary tumors (5.42%), and other types (8.3%). QoL differed significantly between stages (P < 0.001). Dimension scores for functioning and global health status declined before gradually improving, whereas symptoms followed an inverse pattern. Nodes with higher bridge-expected influence, out-expected influence, or in-expected influence in each CLPN were targets for clinical care (mainly pain and nausea and vomiting in T1→T2, pain and social functioning in T2→T3, and fatigue and financial difficulties in T3→T4). The accuracy and stability of the CLPN were verified as acceptable.

conclusionsThe CLPN could precisely identify the interactions and causal connections among QoL dimensions across different stages. It provides anticipatory and prospective guidance for clinical healthcare professionals to enhance holistic care outcomes through early intervention on vital targets that impede dysfunction and symptom exacerbation.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsQuality of LifeAgedFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedPerioperative PeriodPrognosisCross-lagged panel networkPancreatic cancerPerioperative periodQuality of lifeSupportive care

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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.