Evidence map›Paper›PMID 41727021›Full record

ArticlebioRxiv : the preprint server for biology2026

PRECISE TBI Model Catalog: Increasing Accessibility and Reproducibility in TBI research.

Monique C Surles-Zeigler, Lauren Holmes, Troy Sincomb, Maryann E Martone, Jeffrey S Grethe, Adam R Ferguson, C Edward Dixon, PRECISE-TBI corporate authors

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Monique C Surles-ZeiglerDepartment of Neuroscience, School of Medicine, University of California at San Diego.ORCID 0000-0002-2308-8813
Lauren HolmesDepartment of Neuroscience, School of Medicine, University of California at San Diego.ORCID 0009-0000-6715-837X
Troy SincombDepartment of Neuroscience, School of Medicine, University of California at San Diego.ORCID 0000-0003-4556-649X
Maryann E MartoneDepartment of Neuroscience, School of Medicine, University of California at San Diego.ORCID 0000-0002-8406-3871
Jeffrey S GretheDepartment of Neuroscience, School of Medicine, University of California at San Diego.ORCID 0000-0001-5212-7052
Adam R FergusonUniversity of California-San Francisco, Neurological Surgery, San Francisco, California.ORCID 0000-0001-7102-1608
C Edward DixonUniversity of Pittsburgh, Department of Neurological Surgery, Pittsburgh, Pennsylvania.ORCID 0000-0001-9740-3516
PRECISE-TBI corporate authors

Funding

Tools for Common Data Element Adoption in the Pan-Neurotrauma Data Commons (PANORAUMA)U24NS122732 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADAM R FERGUSON, Jeffrey S. Grethe · 2021 to 2026
$5.0M
Maladaptive Plasticity in Spinal Cord Injury: Cellular MechanismsR01NS122888 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERGUSON, ADAM R · 2021 to 2025
$3.0M
Brain Injury Knowledge Ontology (BIKO): Identifying Metadata Variance in Traumatic Brain Injury Therapy StudiesK22NS125179 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MONIQUE SURLES-ZEIGLER · 2021 to 2026
$500k
BLRD VA I50 BX005878NINDS NIH HHS K22 NS125179NINDS NIH HHS R01 NS122888NINDS NIH HHS U24 NS122732RRD VA I01 RX002245RRD VA I01 RX002787
6 · The paper itself

Abstract

Preclinical traumatic brain injury (TBI) research relies on experimental models that vary by mechanism, parameters, surgical procedures, species, strains, and ages, to name a few. While these models are crucial for understanding injury mechanisms and testing therapies, the progress in translating this knowledge to the clinic has been limited. This is in part due to fragmented resources and inconsistent reporting of critical variables. Here, we introduce the PRECISE-TBI model catalog, a centralized, queryable resource that consolidates metadata from published studies. The catalog integrates curated annotations from more than 450 papers, including details such as age, sex, strain, model type, device, and injury parameters. Where available, entries are also linked to protocols and datasets to enhance transparency and reproducibility. The Model Catalog serves as a living resource that enables cross-study comparison, identifies gaps in reporting, and connects the literature to datasets, protocols, device information, and other relevant resources. Analysis of the initial catalog entries revealed gaps in the reporting of device, age, and weight. In contrast, the reporting of sex improved over time, with over 90% of recent studies within the catalog papers reporting sex. Strain was also reported in most studies, with consistent reporting of specificity, especially for the C57 mice substrain. We expect the Model Catalog to serve as a valuable tool to enhance study design and reproducibility in preclinical TBI research while advancing FAIR data principles in the TBI field.

Identifiers

PMID41727021
PMCPMC12918779

What OpenQuestion holds

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LicenceCC BY
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.