Evidence map›Paper›PMID 40261189›Full record

ArticleWorld journal of surgery2025

Bimodal, But Not the Same: Persistent Late Peaks in Trauma Mortality.

Muhammad Bazil Musharraf, Komal Abdul Rahim, Kantesh Kumar, Sijal Akhter Sheikh, Sheza Hassan, Asma Altaf Hussain Merchant, Natasha Shaukat, Huba Atiq, Tanweer Ahmed, Saima Mushtaq and 2 more

Abstract readMulticenter Study
In one paragraph

Article in World journal of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Muhammad Bazil MusharrafCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Pakistan.ORCID 0000-0001-7246-5489
Komal Abdul RahimCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Pakistan.ORCID 0000-0002-0790-6644
Kantesh KumarCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Pakistan.
Sijal Akhter SheikhCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Pakistan.
Sheza HassanDepartment of Emergency Medicine, Weill Cornell Medicine, New York, New York, USA.
Asma Altaf Hussain MerchantDean's Office, The Aga Khan University, Karachi, Pakistan.
Natasha ShaukatDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, Florida, USA.
Huba AtiqCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Pakistan.
Tanweer AhmedDepartment of Neurosurgery, Jinnah Postgraduate Medical Centre, Karachi, Pakistan.
Saima MushtaqDepartment of Emergency Medicine, Jinnah Postgraduate Medical Centre, Karachi, Pakistan.
Adil Hussain HaiderDean's Office, The Aga Khan University, Karachi, Pakistan.
Junaid Abdul RazzakCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Pakistan.

Funding

JHU-Afghanistan-Pakistan Collaborative Trauma and Injury Research TrainingD43TW007292 · FIC · JOHNS HOPKINS UNIVERSITY · PI Nadeem Ullah Khan, Junaid Abdul Razzak · 2005 to 2026
$4.7M
FIC NIH HHS D43 TW007292FIC NIH HHS D43TW007292NIH HHS
6 · The paper itself

Abstract

backgroundTrauma is a significant cause of morbidity and mortality, disproportionately affecting low- and middle-income countries (LMICs). Data from high-income countries (HIC) show an evolution of Trunkey's trimodal distribution of at-scene, first 48 h and after 7 days mortality to bimodal distribution caused by the flattening of the third peak. The mortality distribution in LMICs is not well described. This paper aims to temporally characterize in-patient trauma-related deaths and identify predictors of this mortality among adults in Pakistan.

methodsData from December 2021 to February 2023 were extracted from a multicenter, prospective trauma registry in Karachi, Pakistan. Data on demographics, injury details including injury severity scores (ISS), inhospital care, and outcomes for admitted adult (≥ 18 years) patients not referred from another facility were extracted. The primary outcome was in-patient mortality categorized as within 48 h, after 48 h but within 7 days and after 7 days of injury. Multivariable analyses were done using multiple cox-regression to assess the association of patient and injury characteristics with early (< 48 h) and late mortality (> 48 h).

resultsWe enrolled 1596 patients. The majority were males (80.70%), aged 18-40 years (55.33%). Half of the patients were admitted with moderate ISS (45.49%). Of these, 293 died (18.36%). Deaths were mainly due to road traffic crashes (66.55%) and head injury (84.98%). An equal proportion of mortality was observed in the < 48 h and day 2-7 groups. One vague mortality peak was also identified at > 7 days (n = 115). The adjusted hazard ratio for early mortality was 15% higher (95% CI 1.13, 1.18) for every one-unit increase in the ISS score. The presence of multiple co-morbidities (AHR = 4.95 95% CI 1.31, 18.68) and head injury (AHR = 15.25 95% CI 3.82, 60.81) were associated with late mortality.

conclusionsIn conclusion, our trauma mortality pattern aligns partially with Trunkey's 1983 trimodal distribution, showing a persistent late mortality attributed to deaths from complications. This highlights an urgent need for improvements in trauma care to reduce late-stage mortality. Further in-depth analysis is required to understand the underlying mortality drivers among admitted patients.

Indexed as

Wounds and InjuriesAdolescentAdultFemaleHospital MortalityHumansInjury Severity ScoreMaleMiddle AgedPakistanProspective StudiesRegistriesTime FactorsYoung Adultepidemiologyinhospital mortalityinjuriestrauma registry

Identifiers

PMID40261189
PMCPMC12484097

What OpenQuestion holds

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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.