Evidence map›Paper›PMID 41878138›Full record

ArticleTrauma surgery & acute care open2026

Standardized data definitions for adult trauma video review: an expert consensus report.

Daniel Jafari, Bourke Tillmann, Daniel N Holena, Andrew Tran, Michael A Vella, Matthew Bank, Rachel D Appelbaum, Shane Urban, Amelia W Maiga, Ryan Dumas

Abstract read
In one paragraph

Article in Trauma surgery & acute care open, 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

10 authors.

Daniel JafariNorthwell, New Hyde Park, New York, USA.ORCID https://orcid.org/0000-0002-8217-5407
Bourke TillmannCritical Care, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Daniel N HolenaSurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Andrew TranSurgery, Metrohealth, Cleveland, Ohio, USA.
Michael A VellaSurgery, University of Rochester Medical Center, Rochester, New York, USA.ORCID https://orcid.org/0000-0002-8690-4443
Matthew BankDepartment of Surgery at Zucker School of Medicine, Northwell Health, New Hyde Park, New York, USA.
Rachel D AppelbaumDepartment of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-6401-4060
Shane UrbanDepartment of Surgery, University of Colorado, Aurora, Colorado, USA.
Amelia W MaigaVanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0001-6488-7024
Ryan DumasSurgery, Baylor College of Medicine, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Trauma video review (TVR) provides granular data for quality improvement, education, and research but is hampered by a lack of standardized data definitions, which limits multicenter collaboration, benchmarking, and the generalizability of findings. We aimed to develop a universal data dictionary and collection tool through an expert consensus process to standardize adult TVR data capture across institutions. Methods: The Trauma Video Review Collaborative convened a multidisciplinary panel of subject matter experts in trauma resuscitation from eight centers in the USA and Canada. Through a series of virtual meetings and discussions between May 2023 and July 2024, the group used a consensus-based process to identify and define core data elements. The development focused on core data elements directly observable from video, structured to mirror the clinical workflow of trauma resuscitation. Results: The final standardized data dictionary includes 95 items (44 categorical and 51 numeric/timestamps) with detailed definitions to ensure uniform collection. Categorical variables can be marked "unable to determine" to distinguish from missing data, as are the numeric/timestamps with a predefined timestamp. All timestamps are in military time format. Data points are pragmatically organized into five categories: (1) pre-arrival preparation, (2) handoff, (3) resuscitation period, (4) procedures and interventions, and (5) non-technical skills, incorporating the Trauma Non-Technical Skills tool. The dictionary is designed to link with registry data for patient demographics and outcomes. Conclusion: This work establishes the first expert consensus-driven, universal data dictionary for adult TVR. It provides a common lexicon to standardize data collection, facilitating robust multicenter research, enabling objective benchmarking, and lowering the barrier to entry for new TVR programs. This tool represents a critical foundational step toward creating a large-scale TVR data registry to advance the science and practice of trauma resuscitation.

Indexed as

Biomedical researchcritical careEmergency TreatmentMultiple Trauma

Identifiers

PMID41878138
PMCPMC13007166

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.