Evidence map›Paper›PMID 37537851›Full record

ArticleAnnals of clinical and translational neurology2023

Using home monitoring technology to study the effects of traumatic brain injury in older multimorbid adults.

Megan E Parkinson, Rebecca Doherty, Francesca Curtis, Eyal Soreq, Helen H L Lai, Alina-Irina Serban, Melanie Dani, Michael Fertleman, Payam Barnaghi, David J Sharp and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of clinical and translational neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

12 authors at 2 institutions in 1 country.

Megan E ParkinsonUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.ORCID 0000-0003-4926-9329
Rebecca DohertyUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.
Francesca CurtisUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.
Eyal SoreqUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.
Helen H L LaiUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.
Alina-Irina SerbanUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.
Melanie DaniDepartment of Bioengineering, Imperial College London, London, UK.
Michael FertlemanDepartment of Bioengineering, Imperial College London, London, UK.
Payam BarnaghiUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.
David J SharpUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.
UK Dementia Research Institute Care Research & Technology Research GroupUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.
Lucia M LiUK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.ORCID 0000-0001-7339-4854
UK Dementia Research Institute · GBImperial College London · GB

Funding

Medical Research Council UKDRI-7004
6 · The paper itself

Abstract

Internet of things (IOT) based in-home monitoring systems can passively collect high temporal resolution data in the community, offering valuable insight into the impact of health conditions on patients' day-to-day lives. We used this technology to monitor activity and sleep patterns in older adults recently discharged after traumatic brain injury (TBI). The demographics of TBI are changing, and it is now a leading cause of hospitalisation in older adults. However, research in this population is minimal. We present three cases, showcasing the potential of in-home monitoring systems in understanding and managing early recovery in older adults following TBI.

Indexed as

Brain Injuries, TraumaticAgedHospitalizationHumansMonitoring, PhysiologicPatient Discharge

Identifiers

PMID37537851
PMCPMC10502679
OpenAlexW4385563729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.