Evidence map›Paper›PMID 42572534›Full record

ArticleNeurotrauma reports

Distinct Five-Year Latent Class Trajectories and Predictors of Functional Cognitive Independence Following Traumatic Brain Injury: A TBI Model Systems Study.

Evan D Feigel, Charlotte B Luster, Chris W Lewis, Brenna Finegan, Michael J Mastrodicasa, Maëlle-Marie Troadec, David Guo, Ben Olsen, Ignacio Fuentes, Joseph T Giacino and 2 more

Abstract read
In one paragraph

Article in Neurotrauma reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Evan D FeigelDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0006-3953-0764
Charlotte B LusterDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0000-8467-0762
Chris W LewisDepartment of Physical Rehabilitation, University of Washington, Seattle, Washington, USA.
Brenna FineganDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.
Michael J MastrodicasaDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.
Maëlle-Marie TroadecMassachusetts Institute of Technology Abdul Latif Jameel Clinic for Machine Learning in Health, Boston, Massachusetts, USA.
David GuoMassachusetts Institute of Technology Abdul Latif Jameel Clinic for Machine Learning in Health, Boston, Massachusetts, USA.
Ben OlsenMassachusetts Institute of Technology Abdul Latif Jameel Clinic for Machine Learning in Health, Boston, Massachusetts, USA.
Ignacio FuentesMassachusetts Institute of Technology Abdul Latif Jameel Clinic for Machine Learning in Health, Boston, Massachusetts, USA.
Joseph T GiacinoDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.
Regina BarzilayMassachusetts Institute of Technology Abdul Latif Jameel Clinic for Machine Learning in Health, Boston, Massachusetts, USA.
Daniel H DaneshvarDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.

Funding

ACL HHS 90DPTB0027
6 · The paper itself

Abstract

Early prediction of short- and long-term health outcomes remains a significant medical challenge for clinicians providing care for the traumatic brain injury (TBI) population. In the context of an acute trauma care center, accurate and early prediction of patient outcomes from discharge is critical to better plan for services required by patients with TBI. We aimed to identify the heterogeneous longitudinal recovery trajectories of functional cognitive independence during 5 years post-injury and reveal the demographic, clinical, and injury-related factors associated with trajectory membership. Functional Independence Measure for Cognition (FIM-Cog) was evaluated among Traumatic Brain Injury Model Systems participants diagnosed with a TBI between 1987 and 2024 from discharge, 1, 2, and 5 years post-injury. Latent class growth analysis (LCGA) classified 8060 participants into clusters of FIM-Cog trajectories over 5 years post-injury by fitting 1-7 model solutions and using maximum probability rule to estimate cluster membership. Backward stepwise multinomial logistic regression identified factors associated with trajectory membership. Statistical significance was determined at

Indexed as

critical care outcomeslongevitymachine learningrehabilitationsurvivors

Identifiers

PMID42572534
PMCPMC13452941

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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.