Evidence map›Paper›PMID 39841551›Full record

ArticleJournal of neurotrauma2025

Translational Outcomes Project in Neurotrauma (TOP-NT) Pre-Clinical Consortium Study: A Synopsis.

Hannah L Radabaugh, Neil G Harris, Ina B Wanner, Mark P Burns, Joseph T McCabe, Alexandru V Korotcov, Bernard J Dardzinski, Jinyuan Zhou, Raymond C Koehler, Jieru Wan and 17 more

Abstract read
In one paragraph

Article in Journal of neurotrauma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

27 authors.

Hannah L RadabaughUniversity of California San Francisco, San Francisco, California, USA.
Neil G HarrisUniversity of California Los Angeles, Los Angeles, California, USA.
Ina B WannerUniversity of California Los Angeles, Los Angeles, California, USA.
Mark P BurnsGeorgetown University, Washington, DC, USA.
Joseph T McCabeUniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Alexandru V KorotcovUniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Bernard J DardzinskiUniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Jinyuan ZhouJohns Hopkins University, Baltimore, Maryland, USA.
Raymond C KoehlerJohns Hopkins University, Baltimore, Maryland, USA.
Jieru WanJohns Hopkins University, Baltimore, Maryland, USA.
Javier Allende LabastidaJohns Hopkins University, Baltimore, Maryland, USA.
Babak MoghadasJohns Hopkins University, Baltimore, Maryland, USA.
Adnan BibicHugo W. Moser Research Institute at Kennedy Krieger, Baltimore, Maryland, USA.
Marcelo FeboUniversity of Florida, Gainesville, Florida, USA.ORCID 0000-0001-8981-4163
Firas H KobeissyMorehouse School of Medicine, Atlanta, Georgia, USA.
Jiepei ZhuMorehouse School of Medicine, Atlanta, Georgia, USA.
Richard RubensteinSUNY Downstate Health Sciences University, Brooklyn, New York, USA.ORCID 0000-0003-0577-6687
Jiamei HouUniversity of Florida and Malcom Randall VA Medical Center, Gainesville, Florida, USA.
Prodip K BoseUniversity of Florida and Malcom Randall VA Medical Center, Gainesville, Florida, USA.
Seza ApiliogullariMorehouse School of Medicine, Atlanta, Georgia, USA.
Michael S BeattieUniversity of California San Francisco, San Francisco, California, USA.
Jacqueline C BresnahanUniversity of California San Francisco, San Francisco, California, USA.
Susanna RosiUniversity of California San Francisco, San Francisco, California, USA.
J Russell HuieUniversity of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-5594-4277
Adam R FergusonUniversity of California San Francisco, San Francisco, California, USA.
Kevin K W WangMorehouse School of Medicine, Atlanta, Georgia, USA.
TOP-NT InvestigatorsORCID 0000-0002-1965-6750

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
Predictive Accuracy of Acute Astroglial Compromise Biomarkers after Traumatic Brain InjuryUH3NS106945 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HARRIS, NEIL, WANNER, INA BEATE · 2020 to 2023
$1.4M
Development of Novel Functional Markers for TBI Using Molecular MRIUH3NS106937 · NINDS · JOHNS HOPKINS UNIVERSITY · PI KOEHLER, RAYMOND CHARLES, ZHOU, JINYUAN · 2020 to 2022
$1.3M
Detecting the disruption and recovery of synaptic connectivity after TBIUH3NS106941 · NINDS · GEORGETOWN UNIVERSITY · PI BURNS, MARK P · 2020 to 2022
$1.2M
Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)UH3NS106899 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S, BRESNAHAN, JACQUELINE C · 2020 to 2022
$1.2M
NIBA-TBI: Neuro-Imaging and biofluid-based Biomarker Assessments as translational pathophysiological outcome measures in TBIUH3NS106938 · NINDS · UNIVERSITY OF FLORIDA · PI WANG, KEVIN KA WANG · 2020 to 2023
$1.1M
Predictive accuracy of acute astroglial compromise biomarkers after traumatic brain injuryUG3NS106945 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HARRIS, NEIL, WANNER, INA BEATE · 2018 to 2020
$882k
Development of Novel Functional Markers for TBI Using Molecular MRIUG3NS106937 · NINDS · JOHNS HOPKINS UNIVERSITY · PI KOEHLER, RAYMOND CHARLES, ZHOU, JINYUAN · 2018 to 2019
$859k
NIBA-TBI: Neuro-Imaging and biofluid-based Biomarker Assessments as translational pathophysiological outcome measures in TBIUG3NS106938 · NINDS · UNIVERSITY OF FLORIDA · PI WANG, KEVIN KA WANG · 2018 to 2019
$758k
Detecting the disruption and recovery of synaptic connectivity after TBIUG3NS106941 · NINDS · GEORGETOWN UNIVERSITY · PI BURNS, MARK P · 2018 to 2019
$750k
Upgrade of an 11T/40cm MRI/S SystemS10RR025671 · NCRR · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S · 2009 to 2009
$500k
Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)UG3NS106899 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S, BRESNAHAN, JACQUELINE C · 2018 to 2019
$480k
NCRR NIH HHS S10 RR025671NINDS NIH HHS U24 NS122732NINDS NIH HHS UG3 NS106899NINDS NIH HHS UG3 NS106937NINDS NIH HHS UG3 NS106938NINDS NIH HHS UG3 NS106941NINDS NIH HHS UG3 NS106945NINDS NIH HHS UH3 NS106899NINDS NIH HHS UH3 NS106937NINDS NIH HHS UH3 NS106938NINDS NIH HHS UH3 NS106941NINDS NIH HHS UH3 NS106945
6 · The paper itself

Abstract

Traumatic brain injury (TBI) has long been a leading cause of death and disability, yet research has failed to successfully translate findings from the pre-clinical, animal setting into the clinic. One factor that contributes significantly to this struggle is the heterogeneity observed in the clinical setting where patients present with injuries of varying types, severities, and comorbidities. Modeling this highly varied population in the laboratory remains challenging. Given feasibility constraints, individual laboratories often focus on single injury types and are limited to an abridged set of outcome measures. Furthermore, laboratories tend to use different injury or outcome methodologies from one another, making it difficult to compare studies and identify which pre-clinical findings may be best suited for clinical translation. The NINDS-funded Translational Outcomes Project in Neurotrauma (TOP-NT) is a multi-site consortium designed to address the reproducibility, rigor, and transparency of pre-clinical development and validation of clinically relevant biomarkers for TBI. The current overview article provides a detailed description of the infrastructure and strategic approach undertaken by the consortium. We outline the TOP-NT strategy to address three goals: (1) selection and cross-center validation of biomarker tools, (2) development and population of a data infrastructure to allow for the sharing and reuse of pre-clinical, animal research following findable, accessible, interoperable, and reusable data guidelines, and (3) demonstration of feasibility, reproducibility, and transparency in conducting a multi-center, pre-clinical research trial for TBI biomarker development. The synthesized scientific analysis and results of the TOP-NT efforts will be the topic of future articles.

Indexed as

Brain Injuries, TraumaticOutcome Assessment, Health CareTranslational Research, BiomedicalAnimalsHumansUnited Statesanimal studiesbiomarkersdata sharingMRImulti-center cross-validationreproducibilitytraumatic brain injury

Identifiers

PMID39841551
PMCPMC12223487

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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.