Evidence map›Paper›PMID 42713518›Full record

ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2026

Total Brain Diagnostics: Advancing Precision Brain and Mental Health at the Department of Veterans Affairs.

Maya O'Neil, David Cameron, David X Cifu, Molly Sullan, Kate Clauss, William P Milberg, Catherine B Fortier, Elisabeth A Wilde, Ryan Holliday, Adam Kinney and 1 more

Abstract read
In one paragraph

Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Maya O'NeilVeterans Affairs Portland Health Care System, Oregon.
David CameronVeterans Affairs Portland Health Care System, Oregon.
David X CifuCentral Virginia Veteran Healthcare System, Richmond.
Molly SullanVeterans Affairs Rocky Mountain Regional Medical Center, Aurora, Colorado.
Kate ClaussVeterans Affairs Portland Health Care System, Oregon.
William P MilbergVeterans Affairs Boston Healthcare System, Massachusetts.
Catherine B FortierVeterans Affairs Boston Healthcare System, Massachusetts.
Elisabeth A WildeVeterans Affairs Salt Lake City Healthcare System, Utah.
Ryan HollidayVeterans Affairs Rocky Mountain Regional Medical Center, Aurora, Colorado.
Adam KinneyVeterans Affairs Rocky Mountain Regional Medical Center, Aurora, Colorado.
Lisa A BrennerVeterans Affairs Rocky Mountain Regional Medical Center, Aurora, Colorado.

Funding

CSRD VA I01 CX001135CSRD VA I01 CX001246CSRD VA I01 CX002096CSRD VA I01 CX002097HSRD VA I01 HX003155RRD VA I01 RX001135RRD VA I01 RX001774RRD VA I01 RX001880RRD VA I01 RX002076RRD VA I01 RX002170RRD VA I01 RX002171RRD VA I01 RX002172RRD VA I01 RX002173RRD VA I01 RX002174RRD VA I01 RX003442RRD VA I01 RX003443RRD VA I01 RX003444RRD VA I01 RX004911
6 · The paper itself

Abstract

Background: The Observations: Harmonized data can facilitate precision care to improve veterans' brain and mental health. Longitudinal cohort studies of service members and veterans with military combat and training exposure histories provide researchers with access to biopsychosocial data shown to impact adverse health risks. Precision medicine efforts that incorporate biopsychosocial variables require the combination of such datasets because of the large sample sizes necessary for adequately powered multivariable analyses. The Total Brain Diagnostics (TBD) research team is harmonizing variables from the Long-Term Impact of Military-Relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium and the Translational Research Center for TBI and Stress Disorders. Together, they contain prospective longitudinal data from > 4000 combat-exposed service members and veterans. Conclusions: Military service often results in unique exposures associated with brain and mental health disorders and functional impairment. To address clinical needs, the TBD team is creating a unified longitudinal dataset that combines measures from existing longitudinal protocols. Work by the TBD team may lay the foundation for using of prospective longitudinal datasets and linked large datasets to generate generalizable, clinically relevant information to advance precision brain and mental health care among service members and veterans. These efforts may facilitate precision prognostics, diagnostics, and tailored interventions, with potential benefits for the general population as well.

Identifiers

PMID42713518
PMCPMC13552683

What OpenQuestion holds

Textmetadata
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.