Evidence map›Paper›PMID 29566600›Full record

ArticleJournal of neurotrauma2018

Predicting Long-Term Global Outcome after Traumatic Brain Injury: Development of a Practical Prognostic Tool Using the Traumatic Brain Injury Model Systems National Database.

William C Walker, Katharine A Stromberg, Jennifer H Marwitz, Adam P Sima, Amma A Agyemang, Kristin M Graham, Cynthia Harrison-Felix, Jeanne M Hoffman, Allen W Brown, Jeffrey S Kreutzer and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of neurotrauma, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
–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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Long-term life expectancy in severe traumatic brain injury: a systematic review.European journal of physical and rehabilitation medicine · 2024
    Pooled it
  3. Trial
  4. Article
  5. Article
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  7. Article
  8. Moderate-severe traumatic brain injury disrupts core mechanisms of online language processing and use.Cortex; a journal devoted to the study of the nervous system and behavior · 2026
    Article
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  12. Observational
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  16. Review
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  19. Article
  20. Traumatic brain injuries: a neuropsychological review.Frontiers in behavioral neuroscience · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

William C Walker1 Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University , Richmond, Virginia.
Katharine A Stromberg2 Department of Biostatistics, Virginia Commonwealth University , Richmond, Virginia.
Jennifer H Marwitz1 Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University , Richmond, Virginia.
Adam P Sima2 Department of Biostatistics, Virginia Commonwealth University , Richmond, Virginia.
Amma A Agyemang1 Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University , Richmond, Virginia.
Kristin M Graham1 Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University , Richmond, Virginia.
Cynthia Harrison-Felix3 Traumatic Brain Injury Model Systems National Data and Statistical Center , Craig Hospital, Englewood, Colorado.
Jeanne M Hoffman4 Department of Rehabilitation Medicine, University of Washington , Seattle, Washington.
Allen W Brown5 Department of Physical Medicine and Rehabilitation, Mayo Clinic , Rochester, Minnesota.
Jeffrey S Kreutzer1 Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University , Richmond, Virginia.
Randall Merchant1 Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University , Richmond, Virginia.

Funding

Practical PrognosticsR21HD089097 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI WALKER, WILLIAM · 2016 to 2017
$419k
NICHD NIH HHS R21 HD089097
6 · The paper itself

Abstract

For patients surviving serious traumatic brain injury (TBI), families and other stakeholders often desire information on long-term functional prognosis, but accurate and easy-to-use clinical tools are lacking. We aimed to build utilitarian decision trees from commonly collected clinical variables to predict Glasgow Outcome Scale (GOS) functional levels at 1, 2, and 5 years after moderate-to-severe closed TBI. Flexible classification tree statistical modeling was used on prospectively collected data from the TBI-Model Systems (TBIMS) inception cohort study. Enrollments occurred at 17 designated, or previously designated, TBIMS inpatient rehabilitation facilities. Analysis included all participants with nonpenetrating TBI injured between January 1997 and January 2017. Sample sizes were 10,125 (year-1), 8,821 (year-2), and 6,165 (year-5) after cross-sectional exclusions (death, vegetative state, insufficient post-injury time, and unavailable outcome). In our final models, post-traumatic amnesia (PTA) duration consistently dominated branching hierarchy and was the lone injury characteristic significantly contributing to GOS predictability. Lower-order variables that added predictability were age, pre-morbid education, productivity, and occupational category. Generally, patient outcomes improved with shorter PTA, younger age, greater pre-morbid productivity, and higher pre-morbid vocational or educational achievement. Across all prognostic groups, the best and worst good recovery rates were 65.7% and 10.9%, respectively, and the best and worst severe disability rates were 3.9% and 64.1%. Predictability in test data sets ranged from C-statistic of 0.691 (year-1; confidence interval [CI], 0.675, 0.711) to 0.731 (year-2; CI, 0.724, 0.738). In conclusion, we developed a clinically useful tool to provide prognostic information on long-term functional outcomes for adult survivors of moderate and severe closed TBI. Predictive accuracy for GOS level was demonstrated in an independent test sample. Length of PTA, a clinical marker of injury severity, was by far the most critical outcome determinant.

Indexed as

Decision TreesRecovery of FunctionAdultBrain Injuries, TraumaticCohort StudiesCross-Sectional StudiesDatabases as TopicFemaleGlasgow Outcome ScaleHumansMaleMiddle AgedPrognosisYoung Adultclassification treefunctional outcomeGlasgow Outcome Scaleprognosistraumatic brain injury classification tree

Identifiers

PMID29566600
PMCPMC6016099

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.