Evidence map›Paper›PMID 40220477›Full record

Observational studyThe Journal of surgical research2025

Comparison of Risk Assessment Tools' Prediction of Outcomes for Penetrating Trauma.

Jeffrey Santos, Catherine M Kuza, Xi Luo, Tiffany Moon, Thomas Shoultz, Anne Feeler, Roman Dudaryk, Jose Navas, Georgia Vasileiou, Kazuhide Matsushima and 5 more

Abstract readComparative StudyObservational StudyMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in The Journal of surgical research, 2025. 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

15 authors.

Jeffrey SantosDivision of Trauma, Burns, Critical Care & Acute Care Surgery, Department of Surgery, University of California, Irvine, Orange, California.
Catherine M KuzaDepartment of Anesthesiology, University of Southern California, Los Angeles, California.
Xi LuoDepartment of Anesthesiology, University of Texas Southwestern, Dallas, Texas.
Tiffany MoonDepartment of Anesthesiology, University of Texas Southwestern, Dallas, Texas.
Thomas ShoultzDivision of Burns, Trauma and Critical Care, University of Texas Southwestern, Dallas, Texas.
Anne FeelerDivision of Burns, Trauma and Critical Care, University of Texas Southwestern, Dallas, Texas.
Roman DudarykDepartment of Anesthesiology and Pain Management, University of Miami, Miami, Florida.
Jose NavasDepartment of Anesthesiology and Pain Management, University of Miami, Miami, Florida.
Georgia VasileiouDepartment of Surgery, University of Miami, Miami, Florida.
Kazuhide MatsushimaDepartment of Surgery, University of Southern California, Los Angeles, California.
Matthew ForestiereDepartment of Surgery, University of Southern California, Los Angeles, California.
Tiffany LianDepartment of Surgery, University of Southern California, Los Angeles, California.
Areg GrigorianDivision of Trauma, Burns, Critical Care & Acute Care Surgery, Department of Surgery, University of California, Irvine, Orange, California.
Joni Ricks-OddieInstitute for Clinical and Translation Sciences and Center for Statistical Consulting, University of California, Irvine, California.
Jeffry NahmiasDivision of Trauma, Burns, Critical Care & Acute Care Surgery, Department of Surgery, University of California, Irvine, Orange, California. Electronic address: jnahmias@hs.uci.edu.

Funding

Institute for Clinical and Translational ScienceUM1TR004927 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DAN M COOPER, Eric J. Vilain · 2024 to 2026
$12.2M
NCATS NIH HHS UM1 TR004927
6 · The paper itself

Abstract

introductionThe Trauma and Injury Severity Score (TRISS) uses anatomic and/or physiologic variables to predict mortality; however, Injury Severity Score is less reliable for penetrating trauma. National Surgical Quality Improvement Program Surgical Risk Calculator (NSQIP-SRC) and American Society of Anesthesiologists Physical Status (ASA-PS) include functional status and comorbidities. This study evaluates the accuracy of these tools in predicting mortality, length of stay (LOS), and complications for operative penetrating trauma.

methodsAdult penetrating trauma patients (≥18 y) who underwent surgery within 24 h of admission were included in this subgroup analysis of a prospective observational study at four trauma centers. The following three scoring models were compared: NSQIP-SRC, TRISS, and ASA-PS. Brier scores and area under the receiver-operating characteristic curve were used to compare mortality prediction. LOS prediction was assessed with linear regression and complications were evaluated with negative binomial regression. Likelihood ratio (LR) test was used to assess model fit.

resultsOf 329 penetrating trauma patients, 13 (3.9%) died. The median LOS was 4 d (interquartile range 2-9), and median number of complications was zero (interquartile range 0-1). TRISS better predicted mortality than NSQIP-SRC or ASA-PS on Brier score (0.02 versus 0.03 versus 0.03) but all had similar area under the receiver-operating characteristic curve (0.93 versus 0.93 versus 0.91, P = 0.26). NSQIP-SRC and ASA-PS better predicted LOS on adjusted R

conclusionsFor penetrating trauma, all three models were similarly excellent at predicting mortality. NSQIP-SRC and ASA-PS better predicted LOS and NSQIP-SRC best predicted complications, suggesting these are better tools for prognostication of outcomes for penetrating trauma.

Indexed as

Postoperative ComplicationsWounds, PenetratingAdultAgedFemaleHumansInjury Severity ScoreLength of StayMaleMiddle AgedProspective StudiesRisk AssessmentROC CurveTrauma CentersASALength of stayMortalityNSQIPOutcomesPenetrating traumaTRISS

Identifiers

PMID40220477
PMCPMC13173795

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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.