Evidence map›Paper›PMID 39285766›Full record

ArticleApplied neuropsychology. Adult

Using harmonized FITBIR datasets to examine associations between TBI history and cognitive functioning.

Maya E O'Neil, David Cameron, Danielle Krushnic, William Baker Robinson, Sara Hannon, Kate Clauss, Tamara Cheney, Lawrence Cook, Meike Niederhausen, Mary Jo Pugh

Abstract read
In one paragraph

Article in Applied neuropsychology. Adult. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Total Brain Diagnostics: Advancing Precision Brain and Mental Health at the Department of Veterans Affairs.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2026
    Article
  3. Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    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

10 authors.

Maya E O'NeilHSR Center to Improve Veteran Involvement in Care (CIVIC), Portland VA Health Care System, Portland, OR, USA.
David CameronHSR Center to Improve Veteran Involvement in Care (CIVIC), Portland VA Health Care System, Portland, OR, USA.
Danielle KrushnicHSR Center to Improve Veteran Involvement in Care (CIVIC), Portland VA Health Care System, Portland, OR, USA.
William Baker RobinsonHSR Center to Improve Veteran Involvement in Care (CIVIC), Portland VA Health Care System, Portland, OR, USA.
Sara HannonHSR Center to Improve Veteran Involvement in Care (CIVIC), Portland VA Health Care System, Portland, OR, USA.
Kate ClaussHSR Center to Improve Veteran Involvement in Care (CIVIC), Portland VA Health Care System, Portland, OR, USA.
Tamara CheneyHSR Center to Improve Veteran Involvement in Care (CIVIC), Portland VA Health Care System, Portland, OR, USA.
Lawrence CookDepartment of Pediatrics, School of Medicine, University of Utah, Salt Lake City, UT, USA.
Meike NiederhausenHSR Center to Improve Veteran Involvement in Care (CIVIC), Portland VA Health Care System, Portland, OR, USA.
Mary Jo PughInformatics, Decision Enhancement, and Analytics Science (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.

Funding

HSRD VA IK6 HX003762RRD VA IK2 RX002762
6 · The paper itself

Abstract

objectiveDemonstrate how patient-level traumatic brain injury (TBI) data from studies in the Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System can be harmonized and pooled to examine relationships between TBI and cognitive functioning.

methodWe harmonized and pooled data across studies and analyzed rates of probable cognitive functioning deficits by TBI history and severity.

resultsFour publicly available FITBIR studies with 3,445 participants included data on cognitive dysfunction, though only one included comparison groups (mild TBI vs. no history of TBI) and could be used in the final comparative analyses. Of the 1,539 participants, 82% had a history of mild TBI and 67% had data suggesting the presence of cognitive dysfunction. Participants with a history of mild TBI were mostly male (87%), 25-39 years old (53%), and Non-Hispanic White (60%).

Indexed as

Brain Injuries, TraumaticCognitive DysfunctionDatabases, FactualDatasets as TopicAdultFemaleHumansMaleMiddle AgedYoung AdultCognitionFAIR dataindividual participant level datameta-datatraumatic brain injury

Identifiers

PMID39285766
PMCPMC13132550

What OpenQuestion holds

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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.