Evidence map›Paper›PMID 35379824›Full record

ArticleScientific reports2022

Decoding health status transitions of over 200 000 patients with traumatic brain injury from preceding injury to the injury event.

Tatyana Mollayeva, Andrew Tran, Vincy Chan, Angela Colantonio, Mitchell Sutton, Michael D Escobar

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. 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

6 authors.

Tatyana MollayevaKITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Canada.
Andrew TranKITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Canada.
Vincy ChanKITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Canada.
Angela ColantonioKITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Canada.
Mitchell SuttonKITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Canada.
Michael D EscobarDalla Lana School of Public Health, Health Sciences Building, University of Toronto, 155 College Street, 6th Floor, Toronto, ON, M5T 3M7, Canada. m.escobar@utoronto.ca.

Funding

Machine learning to inform health services and policy for traumatic brain injuryR01NS117921 · NINDS · UNIVERSITY OF TORONTO · PI COLANTONIO, ANGELA, ESCOBAR, MICHAEL D · 2020 to 2021
$374k
Comorbidity in traumatic brain injury and risk of all-cause mortality, functional and financial burden: a decade-long population based cohort studyR21HD089106 · NICHD · UNIVERSITY HEALTH NETWORK · PI COLANTONIO, ANGELA · 2016 to 2017
$297k
NICHD NIH HHS R21 HD089106NICHD NIH HHS R21HD089106NINDS NIH HHS R01 NS117921NINDS NIH HHS R01NS117921
6 · The paper itself

Abstract

For centuries, the study of traumatic brain injury (TBI) has been centred on historical observation and analyses of personal, social, and environmental processes, which have been examined separately. Today, computation implementation and vast patient data repositories can enable a concurrent analysis of personal, social, and environmental processes, providing insight into changes in health status transitions over time. We applied computational and data visualization techniques to categorize decade-long health records of 235,003 patients with TBI in Canada, from preceding injury to the injury event itself. Our results highlighted that health status transition patterns in TBI emerged along with the projection of comorbidity where many disorders, social and environmental adversities preceding injury are reflected in external causes of injury and injury severity. The strongest associations between health status preceding TBI and health status at the injury event were between multiple body system pathology and advanced age-related brain pathology networks. The interwoven aspects of health status on a time continuum can influence post-injury trajectories and should be considered in TBI risk analysis to improve prevention, diagnosis, and care.

Indexed as

Brain InjuriesBrain Injuries, TraumaticCanadaComorbidityHealth StatusHumans

Identifiers

PMID35379824
PMCPMC8980052

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.