Evidence map›Paper›PMID 35813536›Full record

ReviewIndian journal of orthopaedics2022

Use of Wearable Technology to Measure Activity in Orthopaedic Trauma Patients: A Systematic Review.

Meir T Marmor, Bernd Grimm, Andrew M Hanflik, Peter H Richter, Sureshan Sivananthan, Seth Robert Yarboro, Benedikt J Braun

Open access · greenAbstract readReview
In one paragraph

Review in Indian journal of orthopaedics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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 at 6 institutions in 4 countries.

Meir T MarmorOrthopaedic Trauma Institute (OTI), San Francisco General Hospital, University of California San Francisco (UCSF), 2550 23rd Street, Building 9, 2nd Floor, San Francisco, CA 94110 USA.ORCID 0000-0003-4533-6715
Bernd GrimmHuman Motion, Orthopaedics, Sports Medicine and Digital Methods Group, Luxembourg Institute of Health, Transversal Activities, Luxembourg, Luxembourg.
Andrew M HanflikSouthern California Permanente Medical Group, Downey Medical Center, Department of Orthopaedic Surgery, Kaiser Permanente Downey, Downey, CA USA.
Peter H RichterDepartment of Orthopaedic Surgery, University of Ulm, Ulm, Germany.
Sureshan SivananthanALTY Orthopaedic Hospital, Kuala Lumpur, Malaysia.
Seth Robert YarboroUniversity of Virginia, Charlottesville, VA USA.
Benedikt J BraunDepartment of Trauma and Reconstructive Surgery, University Hospital Tuebingen, Tuebingen, Germany.
Hospital Kuala Lumpur · MYKaiser Permanente · USLuxembourg Institute of Health · LUSan Francisco General Hospital · USUniversität Ulm · DEUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient-Reported Outcome Measures (PROMs) are widely used for measurement of functional outcomes after orthopaedic trauma. However, PROMs rely on patient collaboration and suffer from various types of bias. Wearable Activity Monitors (WAMs) are increasingly used to objectify functional assessment. The objectives of this systematic review were to identify and characterise the WAMs technology and metrics currently used for orthopaedic trauma research. Methods: PubMed and Embase biomedical literature search engines were queried. Eligibility criteria included: Human clinical studies published in the English language between 2010 and 2019 involving fracture management and WAMs. Variables collected from each article included: Technology used, vendor/product, WAM body location, metrics measured, measurement time period, year of publication, study geographic location, phase of treatment studied, fractures studied, number of patients studied, sex and age of the study subjects, and study level of evidence. Six investigators reviewed the resulting papers. Descriptive statistics of variables of interest were used to analyse the data. Results: One hundred and thirty-six papers were available for analysis, showing an increasing trend of publications per year. Accelerometry followed by plantar pressure insoles were the most commonly employed technologies. The most common location for WAM placement was insoles, followed by the waist. The most commonly studied fracture type was hip fractures followed by fragility fractures in general, ankle, "lower extremity", and tibial fractures. The rehabilitation phase following surgery was the most commonly studied period. Sleep duration, activity time or step counts were the most commonly reported WAM metrics. A preferred, clinically validated WAM metric was not identified. Conclusions: WAMs have an increasing presence in the orthopaedic trauma literature. The optimal implementation of this technology and its use to understand patients' pre-injury and post-injury functions is currently insufficiently explored and represents an area that will benefit from future study. Systematic review registration number: PROSPERO ID:210344. Supplementary Information: The online version contains supplementary material available at 10.1007/s43465-022-00629-0.

Indexed as

Activity measurementsOrthopaedic traumaOutcome measurementsSensorsWearable devices

Identifiers

PMID35813536
PMCPMC9232686
OpenAlexW4226258061

What OpenQuestion holds

Textmetadata
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.