Evidence map›Paper›PMID 42453171›Full record

Observational studyClinical interventions in aging2026

Preoperative Frailty Screening and Risk Prediction Model in Elderly Patients Undergoing Hepatectomy: A Cross-Sectional Study.

Xiaoyan Chen, Laigui Lu, Tianyu Zhao, Yunhua Guo, Haiyan Liu, Jiezhen Mai, Li Zhang

Abstract readObservational Study
In one paragraph

Observational study in Clinical interventions in aging, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoyan Chen *School of Nursing, Shantou University Medical College, Shantou, Guangdong, 515041, People's Republic of China.ORCID 0009-0008-8387-1907
Laigui Lu *Department of Hepatobiliary and Pancreatic Surgery, The First People's Hospital of Foshan, Foshan, Guangdong, 528000, People's Republic of China.ORCID 0009-0002-3281-8248
Tianyu ZhaoSchool of Nursing, Shantou University Medical College, Shantou, Guangdong, 515041, People's Republic of China.ORCID 0009-0002-1691-9401
Yunhua GuoDepartment of Nursing, Foshan Chancheng Yongan Hospital, Foshan, Guangdong, 528000, People's Republic of China.ORCID 0009-0000-3707-2495
Haiyan LiuDepartment of Nursing, Foshan Chancheng Yongan Hospital, Foshan, Guangdong, 528000, People's Republic of China.ORCID 0009-0005-5616-8317
Jiezhen MaiDepartment of Hepatobiliary and Pancreatic Surgery, The First People's Hospital of Foshan, Foshan, Guangdong, 528000, People's Republic of China.ORCID 0009-0002-9546-1987
Li ZhangOffice of Retirement Administration, The First People's Hospital of Foshan, Foshan, Guangdong, 528000, People's Republic of China.ORCID 0000-0002-0329-4177

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to develop and evaluate a preoperative frailty screening and risk prediction model in elderly patients undergoing hepatectomy. Patients and Methods: In this prospective observational study with a cross-sectional baseline assessment, we included 216 elderly patients aged ≥60 years who underwent liver resection at a tertiary hospital in Guangdong Province from January 2024 to September 2025. We collected patients' data from their frailty assessments, preoperative clinical marker evaluations, and their demographic characteristics. Subsequently, univariate and multivariate binary logistic regression analysis was employed to identify factors associated with frailty status. Results: Among 216 elderly patients undergoing hepatectomy, 164 (75.9%) were classified as non-frail, 40 (18.5%) as pre-frail, and 12 (5.6%) as frail, with 24.1% exhibiting frailty (FRAIL score ≥2). Univariate analysis identified 13 clinical indicators significantly associated with frailty status (p < 0.05). Multivariate binary logistic regression analysis demonstrated that older age, higher ASA classification, and elevated NRS-2002 score were independent risk factors for frailty, whereas higher metabolic equivalent (MET) levels and higher albumin concentrations were protective factors. The prediction model showed excellent apparent discrimination (AUC = 0.923) and good calibration; however, further validation is required before routine clinical implementation. Furthermore, frailty was significantly associated with longer postoperative and total length of stay, as well as a higher rate of unplanned reoperation. Conclusion: Preoperative frailty status in elderly patients undergoing liver resection was associated with multiple clinical indicators. However, the proportion of patients with overt frailty among those undergoing surgery was low (5.6%), suggesting the crucial need for rigorous clinical screening. Hence, perioperative management should be prioritized for patients with pre-frailty, and an individualized treatment decision-making system should be established for those with severe frailty.

Indexed as

FrailtyGeriatric AssessmentHepatectomyAgedAged, 80 and overChinaCross-Sectional StudiesFemaleFrail ElderlyHumansLength of StayLogistic ModelsMaleMiddle AgedPostoperative ComplicationsPreoperative Careanalysis of influencing factorselderlyfrailtyhepatectomy

Identifiers

PMID42453171
PMCPMC13366075

What Socratic holds

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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.