Evidence map›Paper›PMID 37303623›Full record

ArticleAmerican journal of translational research2023

Preoperative prediction of adverse outcome after elective gastrointestinal surgery in older patients: three leading frailty instruments and the American Society of Anesthesiologists physical status.

Yahui Xing, Ziqing He, Lei Wang, Hao Zhang, Yang Gao, Erwei Gu, Lei Zhang, Lijian Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 36% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
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

8 authors at 1 institution in 1 country.

Yahui XingDepartment of Anesthesiology, The First Affiliated Hospital of Anhui Medical University Hefei, Anhui, P. R. China.
Ziqing HeDepartment of Anesthesiology, The First Affiliated Hospital of Anhui Medical University Hefei, Anhui, P. R. China.
Lei WangDepartment of Anesthesiology, The First Affiliated Hospital of Anhui Medical University Hefei, Anhui, P. R. China.
Hao ZhangDepartment of Anesthesiology, The First Affiliated Hospital of Anhui Medical University Hefei, Anhui, P. R. China.
Yang GaoDepartment of Anesthesiology, The First Affiliated Hospital of Anhui Medical University Hefei, Anhui, P. R. China.
Erwei GuDepartment of Anesthesiology, The First Affiliated Hospital of Anhui Medical University Hefei, Anhui, P. R. China.
Lei ZhangDepartment of Anesthesiology, The First Affiliated Hospital of Anhui Medical University Hefei, Anhui, P. R. China.
Lijian ChenDepartment of Anesthesiology, The First Affiliated Hospital of Anhui Medical University Hefei, Anhui, P. R. China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to compare the ability of three frailty assessments to predict adverse outcomes after elective gastrointestinal surgery and analyze how frailty assessments impact the American Society of Anesthesiologists (ASA) risk prediction model.

methodsFrailty was measured using the FRAIL scale, Fried Phenotype (FP), and Clinical Frailty Scale (CFS), alongside ASA assessments before surgery. Univariate and logistic regression analyses were used to determine the predictive value of each method. The predictive abilities of the tools were assessed by the area under the receiver operating characteristic curves (AUCs) and their 95% confidence intervals (CIs).

resultsAfter adjusting for age and other risk factors, logistic regression analysis revealed significant positive associations between preoperative frailty and postoperative total adverse systemic complications (odds ratios [ORs] [95% CIs]: FRAIL, 1.297 [0.943-1.785]; FP, 1.317 [0.965-1.798]; CFS, 2.046 [1.413-3.015]; P < 0.001). The CFS was the best predictor of any adverse systemic complications (AUC, 0.696; 95% CI, 0.640-0.748). The predictive abilities of the FRAIL scale (AUC, 0.613; 95% CI, 0.555-0.669) and FP (AUC, 0.615; 95% CI, 0.557-0.671) were similar. The CFS and ASA assessment combined (AUC, 0.697; 95% CI, 0.641-0.749) had a statistically improved AUC compared to the ASA assessment alone (AUC, 0.636; 95% CI, 0.578-0.691), illustrating their value for predicting any adverse systemic complications.

conclusionFrailty instruments enhance the accuracy of predicting postoperative outcome in older adults. Clinicians should add frailty assessments before preoperative ASA, particularly the CFS, given its ease of use and clinical feasibility.

Indexed as

adverse outcomesclinical frailty scaleFrailtyolder adultspreoperative assessment

Identifiers

PMID37303623
PMCPMC10250999
OpenAlexW4380291770

What OpenQuestion holds

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Registered trials

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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.