Evidence map›Paper›PMID 29951202›Full record

ArticlePerioperative medicine (London, England)2018

Self-reported mobility as a preoperative risk assessment tool in older surgical patients compared to the American College of Surgeons National Surgical Quality Improvement Program.

Sunghye Kim, Rebecca Neiberg, W Jack Rejeski, Anthony P Marsh, Stephen B Kritchevsky, Xiaoyan I Leng, Leanne Groban

Open access · goldAbstract read
In one paragraph

Article in Perioperative medicine (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 89% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Sunghye Kim1Department of Internal Medicine, Section of General Internal Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157 USA.
Rebecca Neiberg3Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine, 525 Vine, Winston-Salem, NC 27101 USA.
W Jack Rejeski4Department of Health and Exercise Science, Wake Forest University, PO Box 7868, Winston-Salem, NC 27109 USA.
Anthony P Marsh4Department of Health and Exercise Science, Wake Forest University, PO Box 7868, Winston-Salem, NC 27109 USA.
Stephen B Kritchevsky2Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157 USA.
Xiaoyan I Leng3Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine, 525 Vine, Winston-Salem, NC 27101 USA.
Leanne Groban2Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157 USA.
Wake Forest University · US

Funding

The effects of aquatic prehabilitation in knee OA patients on knee arthroplasty outcomesR03AG050919 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KIM, SUNGHYE · 2015 to 2016
$233k
6 · The paper itself

Abstract

backgroundThe American College of Surgeons National Surgical Quality Improvement Program (NSQIP®) developed a surgical risk calculator using data from 1.4 million patients and including 1557 unique Current Procedural Terminology (CPT) codes. Although this calculator demonstrated excellent performance in predicting postoperative mortality, morbidity, and six surgical complications, it was not developed specifically for use in older surgical patients who have worse surgical outcomes and additional unique risk factors compared to younger adults. We aimed to test the ability of a simple self-reported mobility tool to predict postoperative outcomes in the older surgical population compared to the NSQIP.

methodsWe used data from a prospective cohort study that enrolled 197 older surgical patients (≥ 69 years) undergoing various elective surgeries and assessed 30-day surgical outcomes. Statistical models included data from the Mobility Assessment Tool-short form (MAT-sf) alone, covariates alone, and MAT-sf data and covariates. We used leave-one-out (LOO) cross-validation of the models within our cohort and compared their performance for predicting postoperative outcomes against the NSQIP calculator based on receiver operating characteristic area under the curve (ROC AUC).

resultsPatients with poor self-reported mobility experienced higher rates of postoperative complications and nursing home placement. There was no difference in performance between any of our models and the NSQIP calculator (

conclusionMobility assessment alone using MAT-sf can predict postoperative complications, nursing home placement, and LOS for older surgical patients, with accuracy comparable to that of the NSQIP calculator. The simplicity of this noninvasive risk assessment tool makes it an attractive alternative to the NSQIP calculator that requires 20 patient predictors and the planned procedure, or CPT code to predict the chance that patients will have 15 different adverse outcomes following surgery.

Indexed as

MobilityNSQIPPreoperativeRisk calculator

Identifiers

PMID29951202
PMCPMC6010168
OpenAlexW2808923025

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.