Evidence map›Paper›PMID 35388891›Full record

ArticleBJS open2022

Wearable devices to monitor recovery after abdominal surgery: scoping review.

Cameron I Wells, William Xu, James A Penfold, Celia Keane, Armen A Gharibans, Ian P Bissett, Greg O'Grady

Abstract readScoping Review
In one paragraph

Article in BJS open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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.

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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Prediction of postoperative infections by strategic data imputation and explainable machine learning.Journal of the American Medical Informatics Association : JAMIA · 2025
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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

7 authors.

Cameron I WellsDepartment of Surgery, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-9221-6674
William XuDepartment of Surgery, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-1270-2769
James A PenfoldDepartment of Surgery, The University of Auckland, Auckland, New Zealand.
Celia KeaneDepartment of Surgery, The University of Auckland, Auckland, New Zealand.
Armen A GharibansDepartment of Surgery, The University of Auckland, Auckland, New Zealand.
Ian P BissettDepartment of Surgery, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-6530-2454
Greg O'GradyDepartment of Surgery, The University of Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable devices have been proposed as a novel method for monitoring patients after surgery to track recovery, identify complications early, and improve surgical safety. Previous studies have used a heterogeneous range of devices, methods, and analyses. This review aimed to examine current methods and wearable devices used for monitoring after abdominal surgery and identify knowledge gaps requiring further investigation.

methodsA scoping review was conducted given the heterogeneous nature of the evidence. MEDLINE, EMBASE, and Scopus databases were systematically searched. Studies of wearable devices for monitoring of adult patients within 30 days after abdominal surgery were eligible for inclusion.

resultsA total of 78 articles from 65 study cohorts, with 5153 patients were included. Thirty-one different wearable devices were used to measure vital signs, physiological measurements, or physical activity. The duration of postoperative wearable device use ranged from 15 h to 3 months after surgery. Studies mostly focused on physical activity metrics (71.8 per cent). Continuous vital sign measurement and physical activity tracking both showed promise for detecting postoperative complications earlier than usual care, but conclusions were limited by poor device precision, adherence, occurrence of false alarms, data transmission problems, and retrospective data analysis. Devices were generally well accepted by patients, with high levels of acceptance, comfort, and safety.

conclusionWearable technology has not yet realized its potential to improve postoperative monitoring. Further work is needed to overcome technical limitations, improve precision, and reduce false alarms. Prospective assessment of efficacy, using an intention-to-treat approach should be the focus of further studies.

Indexed as

Wearable Electronic DevicesAdultExerciseHumansMonitoring, PhysiologicProspective StudiesRetrospective Studies

Identifiers

PMID35388891
PMCPMC8988014

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.