Evidence map›Paper›PMID 41992989›Full record

ArticleUlusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES2026

Abdominal gunshot wounds: evaluating the role of computed tomography in surgical timing and decision-making.

Muhammed İkbal Akın, Alisina Bulut, Muhammer Ergenç, Tevfik Kıvılcım Uprak, Ömer Günal, Cumhur Yegen

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Article in Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES, 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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5 · Who and what money

Authors and funding

6 authors.

Muhammed İkbal AkınDepartment of Gastroenterology Surgery, Koşuyolu High Specialization Education and Research Hospital, Istanbul-Türkiye.
Alisina BulutDepartment of General Surgery, Marmara University School of Medicine, Istanbul-Türkiye.
Muhammer ErgençDepartment of General Surgery, Marmara University School of Medicine, Istanbul-Türkiye.
Tevfik Kıvılcım UprakDepartment of General Surgery, Marmara University School of Medicine, Istanbul-Türkiye.
Ömer GünalDepartment of General Surgery, Marmara University School of Medicine, Istanbul-Türkiye.
Cumhur YegenDepartment of General Surgery, Marmara University School of Medicine, Istanbul-Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbdominal gunshot wounds contribute significantly to trauma-related morbidity and mortality. Computed tomog-raphy (CT) can provide valuable diagnostic information but may potentially delay definitive treatment. This study aimed to evaluate the role of abdominal CT in surgical decision-making and timing among patients with abdominal gunshot injuries.

methodsWe retrospectively analyzed patients with abdominal gunshot wounds treated at a tertiary university hospital between January 2013 and January 2023. Collected data included demographic characteristics, physiological parameters, trauma scores, CT find-ings, time intervals (from admission to CT and to surgery), and clinical outcomes. Patients were classified as hemodynamically stable or unstable based on admission parameters and their response to resuscitation. The two groups were compared.

resultsA total of 74 patients were included (94.5% male; median age, 32 years). Of these, 47 (63.5%) were hemodynamically stable at presentation, while 27 (36.5%) were unstable. Abdominal CT was performed in 67 patients (90.5%), with a median time of 28 minutes from admission. The median time to CT was similar between stable (28 minutes) and unstable (30 minutes) patients (p=0.934). Based on CT findings, nonoperative management was feasible in 10 patients (13.5%). Among the unstable group, CT was performed in 7 of 11 nonresponders, of whom six (54.5%) died. Among patients who underwent surgery, the mean time to operation was significantly shorter in unstable patients compared to stable patients (60.4±36.7 vs. 93.2±76.6 minut±es; p=0.034). The perioperative mortality rate was 9.3%, with all deaths occurring in hemodynamically unstable nonresponders.

conclusionAbdominal CT can aid surgical planning without causing significant delays in definitive treatment, even in initially unstable patients who respond to resuscitation. CT findings may support nonoperative management in selected cases and guide targeted surgical interventions in patients requiring operative treatment. However, these findings apply to carefully selected patients and should be interpreted cautiously, as this study does not establish the safety of CT in unselected hemodynamically unstable patients. The proximity of the CT scanner to the resuscitation area facilitated rapid imaging; therefore, the findings may not be generalizable to institutions with remotely located CT facilities.

Indexed as

Abdominal InjuriesTomography, X-Ray ComputedWounds, GunshotAdultDecision MakingFemaleHumansMaleRetrospective StudiesTime Factors

Identifiers

PMID41992989
PMCPMC13059633

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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.