Evidence map›Paper›PMID 27729595›Full record

ReviewJournal of the Royal Society of Medicine2016

A review of wearable technology in medicine.

Mohammed H Iqbal, Abdullatif Aydin, Oliver Brunckhorst, Prokar Dasgupta, Kamran Ahmed

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of the Royal Society of Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 6 pooled it
11.0field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 6 syntheses or guidelines pooled it, 195 citations in OpenAlex.

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  10. Demographic and Socioeconomic Factors Associated with Fitbit Ownership in the NIHInternational journal of environmental research and public health · 2026
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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

5 authors at 2 institutions in 1 country.

Mohammed H IqbalMRC Centre for Transplantation, Guy's Hospital, King's College London, London, UK.
Abdullatif AydinMRC Centre for Transplantation, Guy's Hospital, King's College London, London, UK.
Oliver BrunckhorstMRC Centre for Transplantation, Guy's Hospital, King's College London, London, UK.
Prokar DasguptaMRC Centre for Transplantation, Guy's Hospital, King's College London, London, UK.
Kamran AhmedMRC Centre for Transplantation, Guy's Hospital, King's College London, London, UK kamran.ahmed@kcl.ac.uk.
King's College London · GBGuy's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With rapid advances in technology, wearable devices have evolved and been adopted for various uses, ranging from simple devices used in aiding fitness to more complex devices used in assisting surgery. Wearable technology is broadly divided into head-mounted displays and body sensors. A broad search of the current literature revealed a total of 13 different body sensors and 11 head-mounted display devices. The latter have been reported for use in surgery (n = 7), imaging (n = 3), simulation and education (n = 2) and as navigation tools (n = 1). Body sensors have been used as vital signs monitors (n = 9) and for posture-related devices for posture and fitness (n = 4). Body sensors were found to have excellent functionality in aiding patient posture and rehabilitation while head-mounted displays can provide information to surgeons to while maintaining sterility during operative procedures. There is a potential role for head-mounted wearable technology and body sensors in medicine and patient care. However, there is little scientific evidence available proving that the application of such technologies improves patient satisfaction or care. Further studies need to be conducted prior to a clear conclusion.

Indexed as

TechnologyHumansMonitoring, PhysiologicAcademic medicinemedical educationmedical informatics

Identifiers

PMID27729595
PMCPMC5066535
OpenAlexW2531054041

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.