Evidence map›Paper›PMID 42539394›Full record

ArticleNeurotrauma reports

Ten-Year Latent Trajectories of Global Function and Their Associations with Social Relationship Factors: A Traumatic Brain Injury Model Systems Study.

Evan D Feigel, Michael Mastrodicasa, Charlotte B Luster, Brenna Finegan, David Guo, Chris W Lewis, Maëlle-Marie Troadec, 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

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

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/Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0006-3953-0764
Michael MastrodicasaDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital/Harvard Medical School, Boston, Massachusetts, USA.
Charlotte B LusterDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital/Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0000-8467-0762
Brenna FineganDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital/Harvard Medical School, Boston, Massachusetts, USA.
David GuoMassachusetts Institute of Technology, Abdul Latif Jameel Clinic for Machine Learning in Health, Boston, Massachusetts, USA.
Chris W LewisDepartment of Physical Rehabilitation, University of Washington, Seattle, Washington, USA.
Maëlle-Marie TroadecMassachusetts 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/Harvard Medical School, 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/Harvard Medical School, Boston, Massachusetts, USA.

Funding

ACL HHS 90DPTB0027
6 · The paper itself

Abstract

The Glasgow Outcome Scale-Extended (GOS-E) measures global functional recovery status following traumatic brain injury (TBI). We aimed to identify 10-year latent GOS-E trajectories and examine their associations with social relationship factors at 1 year and over 10 years post-injury. A total of 4,564 participants from the TBI Model Systems dataset with GOS-E at 1-, 2-, 5-, and 10-year post-discharge were included. Latent class growth analysis identified trajectory classes, with the optimal model selected based on fit indices. Social relationship factors were assessed using the social subscale of the Participation Assessment with Recombined Tools-Objective, including total and seven-item scores at 1 year and over 10 years post-injury. Multinomial logistic regression examined associations between social relationship factors and trajectory membership, adjusting for covariates (

Indexed as

latent class growth analysislongitudinalpredictionrehabilitation

Identifiers

PMID42539394
PMCPMC13422616

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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.