Evidence map›Paper›PMID 42393524›Full record

ArticleInternational journal of emergency medicine2026

Predicting critical outcomes in sternal fractures: the dominant role of injury severity score: comparison of ISS, NISS and TRISS.

Nazlı Karakuş Kenan, Atilla Can, Ferdane Melike Duran

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Article in International journal of emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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4 · The record

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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

3 authors.

Nazlı Karakuş KenanEmergency Department, Konya City Hospital, Konya, Türkiye, Turkey. nazlikarakuskenan@gmail.com.ORCID https://orcid.org/0000-0002-0773-3384
Atilla CanDepartment of Thoracic Surgery, Selçuk University Faculty of Medicine, Konya, Türkiye, Turkey.ORCID http://orcid.org/0000-0002-9603-2861
Ferdane Melike DuranDepartment of Thoracic Surgery, Konya City Hospital, Konya, Türkiye, Turkey.ORCID http://orcid.org/0000-0002-2886-7285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSternal fractures (SF) are relatively uncommon but clinically important injuries, frequently accompanied by rib fractures, pulmonary complications, and the need for intensive care unit (ICU). Despite advances in imaging and trauma management, prognostic assessment in SF remains challenging. In particular, the comparative performance of commonly used trauma severity scores-Injury Severity Score (ISS), New Injury Severity Score (NISS), and Trauma and Injury Severity Score (TRISS)-has not been clearly established in this patient group.

methodsThis retrospective observational study included 393 adult patients diagnosed with SF at a tertiary trauma center. The prognostic performance of ISS, NISS, and TRISS for ICU admission was evaluated using ROC analysis, pairwise ROC comparison, multivariable logistic regression, and exploratory decision-tree modeling.

resultsIn-vehicle traffic accidents were the most common mechanism of injury (60.1%). Most patients were managed conservatively (95.7%), with an overall mortality rate of 3.1%. ROC analysis showed good discriminatory ability for ICU admission with NISS (AUC [Area Under the Curve] 0.876) and ISS (AUC 0.847), whereas TRISS performed moderately (AUC 0.743). In multivariable models, ISS and NISS remained independently associated with ICU admission. Decision-tree analysis identified rib fractures, abnormal respiratory findings, and high injury severity scores as key predictors of ICU admission.

conclusionsAlthough mortality is low, SF are associated with considerable morbidity. Rib fractures, fracture location, and injury severity scores are important prognostic indicators. In this exploratory single-center cohort, ISS and NISS showed better discrimination for ICU admission than TRISS; however, these findings should be interpreted cautiously and require validation in larger prospective studies.

Indexed as

Injury Severity Score (ISS)Intensive care unit admissionNew Injury Severity Score (NISS)Sternal fractureTrauma and Injury Severity Score (TRISS)

Identifiers

PMID42393524
PMCPMC13599229

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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 Socratic graph.