Evidence map›Paper›PMID 32544398›Full record

ArticleArchives of physical medicine and rehabilitation2020

Data Mining to Understand How Health Status Preceding Traumatic Brain Injury Affects Functional Outcome: A Population-Based Sex-Stratified Study.

Vincy Chan, Mitchell Sutton, Tatyana Mollayeva, Michael D Escobar, Mackenzie Hurst, Angela Colantonio

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

Article in Archives of physical medicine and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Comorbidity in traumatic brain injury and functional outcomes: a systematic review.European journal of physical and rehabilitation medicine · 2021
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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

6 authors at 2 institutions in 1 country.

Vincy ChanKITE-Toronto Rehab, University Health Network, Toronto, Ontario. Electronic address: vincy.chan@uhn.ca.
Mitchell SuttonKITE-Toronto Rehab, University Health Network, Toronto, Ontario.
Tatyana MollayevaKITE-Toronto Rehab, University Health Network, Toronto, Ontario.
Michael D EscobarDalla Lana School of Public Health, University of Toronto, Toronto, Ontario.
Mackenzie HurstKITE-Toronto Rehab, University Health Network, Toronto, Ontario.
Angela ColantonioKITE-Toronto Rehab, University Health Network, Toronto, Ontario; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario; Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario; ICES, Toronto, Ontario, Canada.
University Health Network · CAUniversity of Toronto · CA

Funding

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 HD089106
6 · The paper itself

Abstract

objectivesTo understand how health status preceding traumatic brain injury (TBI) affects relative functional gain after inpatient rehabilitation using a data mining approach.

designPopulation-based, sex-stratified, retrospective cohort study using health administrative data from Ontario, Canada (39% of the Canadian population).

settingInpatient rehabilitation.

participantsPatients 14 years or older (N=5802; 63.4% male) admitted to inpatient rehabilitation within 1 year of a TBI-related acute care discharge between April 1, 2008, and March 31, 2015.

interventionsNot applicable.

main outcome measuresRelative functional gain (RFG) in percentage, calculated as ([discharge FIM-admission FIM]/[126-admission FIM]×100). Health status prior to TBI was identified and internally validated using a data mining approach that categorized all International Classification of Diseases, 10th revision, codes for each patient.

resultsThe average RFG was 52.8%±27.6% among male patients and 51.6%±27.1% among female patients. Sex-specific Bonferroni adjusted multivariable linear regressions identified 10 factors of preinjury health status related to neurology, emergency medicine, cardiology, psychiatry, geriatrics, and gastroenterology that were significantly associated with reduced RFG in FIM for male patients. Only 1 preinjury health status category, geriatrics, was significantly associated with RFG in female patients.

conclusionsComorbid health conditions present up to 5 years preceding the TBI event were significantly associated with RFG. These findings should be considered when planning and executing interventions to maximize functional gain and to support an interdisciplinary approach. Best practices guidelines and clinical interventions for older male and female patients with TBI should be developed given the increasingly aging population with TBI.

Indexed as

Health StatusRecovery of FunctionAdultAgedAged, 80 and overAge FactorsBrain Injuries, TraumaticCognitionComorbidityData MiningFemaleHumansInpatientsMaleMiddle AgedOntarioBrain injuriesComorbidityData miningInternational Classification of DiseasesRehabilitation

Identifiers

PMID32544398
PMCPMC7483900
OpenAlexW3035677686

What OpenQuestion holds

Textmetadata
LicenceTDM
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.