Evidence map›Paper›PMID 41272515›Full record

ArticleBMC geriatrics2025

Assessing frailty to predict surgical risk: a comparative study of three tools in older non-cardiac surgery patients.

Mantana Saetang, Thitikan Kunapaisal, Sunisa Chatmongkolchart, Dararat Yongsata, Khwanrut Sukitpaneenit

Registry-linked trialAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07522541 (Comparative Analysis of ASA Score and Clinical Frailty Scale in Predicting Postoperative Intensive Care Requirements in Geriatric Hip Fracture Surgery), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07522541 active not recruitingnot on this mapstarted 2026, after this paper: background citation

Comparative Analysis of ASA Score and Clinical Frailty Scale in Predicting Postoperative Intensive Care Requirements in Geriatric Hip Fracture Surgery

TypeobservationalSponsorDr Abdurrahman Yurtaslan Ankara Oncology Training and Research HospitalRan2026 to 2026Enrolled200ConditionsHip Fracture Surgeries, Geriatric Assessment, Frailty at Older Adults, Intensive CareArmsRoutine Surgical and Anesthetic Mnagement.
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mantana SaetangDepartment of Anesthesiology, Faculty of Medicine, Prince of Songkla University, Hat-Yai, Songkhla, Thailand.
Thitikan KunapaisalDepartment of Anesthesiology, Faculty of Medicine, Prince of Songkla University, Hat-Yai, Songkhla, Thailand. thitikan070@gmail.com.
Sunisa ChatmongkolchartDepartment of Anesthesiology, Faculty of Medicine, Prince of Songkla University, Hat-Yai, Songkhla, Thailand.
Dararat YongsataDepartment of Anesthesiology, Faculty of Medicine, Prince of Songkla University, Hat-Yai, Songkhla, Thailand.
Khwanrut SukitpaneenitDepartment of Anesthesiology, Faculty of Medicine, Prince of Songkla University, Hat-Yai, Songkhla, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is a significant predictor of adverse outcomes in older surgical patients. this study, we aimed to evaluate the feasibility and predictive ability of the Clinical Frailty Scale (CFS), Modified Frailty Index-11 (mFI-11), and FRAIL scale for postoperative complications in older Thai patients who underwent intermediate- to high-risk non-cardiac surgery.

methodsThis prospective cohort study included 637 older patients (aged ≥ 60 years) scheduled for intermediate- to high-risk elective non-cardiac surgery. Frailty was assessed preoperatively using the CFS, mFI-11, and FRAIL scale. Postoperative complications were defined as Clavien-Dindo classification ≥ 2. Predictive performance was analyzed using logistic regression and the area under the receiver operating characteristic curve (AUC).

resultsThe mean age of participants was 70.5 years (standard deviation 7.68), and 48% were male. Frailty was significantly associated with higher rates of postoperative complications across all tools: CFS (44.9% vs. 22.2%), mFI-11 (57.8% vs. 26.9%), and FRAIL scale (56.3% vs. 26.0%) (all p < 0.001). In multivariable logistic regression, the CFS was the only independent predictor (odds ratio 2.39, 95% confidence interval [CI]: 1.42-4.00, p < 0.001). Area under the curve (AUC) values were 0.635 (95% CI: 0.5902-0.6794) (mFI-11), 0.632 (95% CI: 0.5881-0.6756) (FRAIL scale), and 0.619 (95% CI: 0.5742-0.6637) (CFS), compared with 0.657 (95% CI: 0.6152-0.6988) of the American Society of Anesthesiologists (ASA) classification. Combining frailty tools with ASA improved predictive accuracy, with CFS + ASA exhibiting the highest AUC (0.704, 95% CI: 0.660-0.748).

conclusionFrailty assessed with the CFS, mFI-11, and FRAIL scale was associated with postoperative complications, with the CFS demonstrating the strongest independent predictive value. Incorporating frailty screening into preoperative evaluation, especially combined with ASA classification, can improve risk stratification and perioperative care.

trial registrationTCTR20210706002.

Indexed as

Frail ElderlyFrailtyGeriatric AssessmentPostoperative ComplicationsAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsCFSFRAIL scaleFrailtyMFI-11Older adultPostoperative complications.

Identifiers

PMID41272515
PMCPMC12639700

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LicenceCC BY
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Registered trials

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.