Evidence map›Paper›PMID 34252791›Full record

ArticleThe Journal of surgical research2021

Physical and Cognitive Function Assessment to Predict Postoperative Outcomes of Abdominal Surgery.

Martha Ruiz, Miguel Peña, Audrey Cohen, Hossein Ehsani, Bellal Joseph, Mindy Fain, Jane Mohler, Nima Toosizadeh

Open access · greenAbstract read
In one paragraph

Article in The Journal of surgical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
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  4. Brain function complexity during dual-tasking is associated with cognitive impairment and age.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    Article
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  6. Review
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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

8 authors at 2 institutions in 1 country.

Martha RuizDepartment of Public Health, University of Arizona, Tucson, Arizona.
Miguel PeñaDepartment of Biomedical Engineering, College of Engineering, University of Arizona, Tucson, Arizona.
Audrey CohenDepartment of Biomedical Engineering, College of Engineering, University of Arizona, Tucson, Arizona.
Hossein EhsaniKinesiology Department, University of Maryland, College Park, Maryland.
Bellal JosephDepartment of Surgery, College of Medicine, University of Arizona, Tucson, Arizona.
Mindy FainArizona Center on Aging, University of Arizona, Tucson, Arizona; Division of Geriatrics, General Internal Medicine and Palliative Medicine, Department of Medicine, University of Arizona, Tucson, Arizona.
Jane MohlerDepartment of Biomedical Engineering, College of Engineering, University of Arizona, Tucson, Arizona.
Nima ToosizadehDepartment of Biomedical Engineering, College of Engineering, University of Arizona, Tucson, Arizona; Arizona Center on Aging, University of Arizona, Tucson, Arizona; Division of Geriatrics, General Internal Medicine and Palliative Medicine, Department of Medicine, University of Arizona, Tucson, Arizona. Electronic address: ntoosizadeh@email.arizona.edu.
University of Arizona · USUniversity of Maryland, College Park · US

Funding

Functional Capacity Assessment in Hospitalized Bed-bound COPD Patients; Predicting OutcomesR21AG059202 · NIA · UNIVERSITY OF ARIZONA · PI MOHLER, MARTHA JANE, TOOSIZADEH, NIMA · 2019 to 2020
$410k
NIA NIH HHS R21 AG059202
6 · The paper itself

Abstract

backgroundCurrent evaluation methods to assess physical and cognitive function are limited and often not feasible in emergency settings. The upper-extremity function (UEF) test to assess physical and cognitive performance using wearable sensors. The purpose of this study was to examine the (1) relationship between preoperative UEF scores with in-hospital outcomes; and (2) association between postoperative UEF scores with 30-d adverse outcomes among adults undergoing emergent abdominal surgery.

methodsWe performed an observational, longitudinal study among adults older than 40 y who presented with intra-abdominal symptoms. The UEF tests included a 20-sec rapid repetitive elbow flexion (physical function), and a 60-sec repetitive elbow flexion at a self-selected pace while counting backwards by threes (cognitive function), administered within 24-h of admission and within 24-h prior to discharge. Multiple logistic regression models assessed the association between UEF and outcomes. Each model consisted of the in-hospital or 30-d post-discharge outcome as the dependent variable, preoperative UEF physical and cognitive scores as hypothesis covariates, and age and sex as adjuster covariates.

resultsUsing UEF physical and cognitive scores to predict in-hospital outcomes, an area under curve (AUC) of 0.76 was achieved, which was 17% more sensitive when compared to age independently. For 30-d outcomes, the AUC increased to 0.89 when UEF physical and cognitive scores were included in the model with age and sex. DISCUSSION: Sensor-based measures of physical and cognitive function enhance outcome prediction providing an objective practicable tool for risk stratification in emergency surgery settings among aging adults presenting with intra-abdominal symptoms.

Indexed as

AbdomenAftercareCognitionAgedGeriatric AssessmentHumansLongitudinal StudiesPatient DischargePredictive Value of TestsTreatment OutcomeUpper ExtremityCognitionFrailtyPost-discharge outcomesSurgical complicationsUpper-extremity motion

Identifiers

PMID34252791
PMCPMC8678138
OpenAlexW3178619206

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.