Evidence map›Paper›PMID 41894978›Full record

ArticleThe Journal of surgical research2026

Long-Term Outcomes Following Traumatic Injury in Older Adults in Pakistan: A Prospective Cohort Study.

Kantesh Kumar, Kinzah Razzak Ghazi, Komal Abdul Rahim, Muhammad Bazil Musharraf, Sheza Hassan, Sijal Akhtar Sheikh, Yasir Shafiq, Huba Atiq, Tanveer Ahmed, Saima Mushtaq and 2 more

Abstract readMulticenter Study
In one paragraph

Article in The Journal of surgical research, 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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1 · What the graph read from it

What it found

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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

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5 · Who and what money

Authors and funding

12 authors.

Kantesh KumarCentre of Excellence for Trauma and Emergencies (CETE), Aga Khan University, Karachi, Pakistan.
Kinzah Razzak GhaziDeans Office, The Aga Khan University, Karachi, Pakistan.
Komal Abdul RahimCentre of Excellence for Trauma and Emergencies (CETE), Aga Khan University, Karachi, Pakistan.
Muhammad Bazil MusharrafCentre of Excellence for Trauma and Emergencies (CETE), Aga Khan University, Karachi, Pakistan.
Sheza HassanDepartment of Emergency Medicine, Weill Cornell Medicine, New York, New York.
Sijal Akhtar SheikhCentre of Excellence for Trauma and Emergencies (CETE), Aga Khan University, Karachi, Pakistan.
Yasir ShafiqCentre of Excellence for Trauma and Emergencies (CETE), Aga Khan University, Karachi, Pakistan.
Huba AtiqCentre of Excellence for Trauma and Emergencies (CETE), Aga Khan University, Karachi, Pakistan.
Tanveer AhmedDepartment of Neurosurgery, Jinnah Postgraduate Medical Centre, Karachi, Pakistan.
Saima MushtaqDepartment of Emergency Medicine, Jinnah Postgraduate Medical Centre, Karachi, Pakistan.
Adil Hussain HaiderDeans Office, The Aga Khan University, Karachi, Pakistan; Department of Surgery and Community Health Sciences, The Aga Khan University, Karachi, Pakistan.
Junaid RazzakCentre of Excellence for Trauma and Emergencies (CETE), Aga Khan University, Karachi, Pakistan; Department of Emergency Medicine, Weill Cornell Medicine, New York, New York. Electronic address: jur9123@med.cornell.edu.

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 TW007292
6 · The paper itself

Abstract

introductionThe older adult population is the world's fastest-expanding demographic, presenting unique issues to trauma teams. Age-related physiological changes, such as decreased reflexes and diminished functional reserve, predispose elderly individuals to poor outcomes after trauma. One study in high-income countries reported a long-term mortality of 33% in older adults. There is a lack of evidence for long-term mortality after trauma in older adults in low- and middle-income countries. This study aims to report the long-term mortality rates and identify risk factors contributing to increased mortality among elderly trauma patients.

methodsWe conducted a prospective cohort study with a multi-center trauma registry in Pakistan. The registry collected data on all adult (>18 y) trauma patients admitted to the ward, high dependency unit, and intensive care unit, warranting a stay of >24 h in 2 tertiary care hospitals in Karachi from December 2021 to May 2023. These patients were followed at 1, 3, 6, and 12 mo. We defined older adult patients as those aged 60 y and above. Logistic regression was used to obtain the odds ratio (OR) and 95% confidence interval (CI) for mortality.

resultsA total of 651 patient records (mean age of 69.23 + 8.28 y, 382 [59%] males) of older adults with trauma were analyzed. The main mechanism of injury was falls (64%), followed by road traffic crashes (RTCs) (36%). Most of the patients had a moderate injury (58%), and a considerable number had a severe injury (19%). Extremity injuries were the most common (n = 368, 58%), followed by head and neck (n = 239, 38%). Nearly half of the patients received surgical intervention (49.31%). The in-hospital mortality rate was 17%. By the end of 1 y, 39% of the patients remained alive and 33.6% died; after accounting for 27% loss to follow-up, the cumulative mortality recorded was 46.2%. The RTC victim type showed that 45% of RTC victims were Pedestrians. Of the patients acquiring head injuries, 71.51% experienced mortality. RTCs, severe injuries, no surgical intervention, and abnormal pulse had higher mortality. Multivariable analysis showed significantly higher odds of mortality among >70 y (adjusted OR [AOR]: 2.56; 95% CI: 1.44-4.68), head injury (AOR: 2.27; 95% CI: 1.03-5.0), severe injury severity score (AOR: 2.39; 95% CI: 1.04-5.54), and no surgical intervention (AOR: 1.79; 95% CI: 1.05-3.03).

conclusionsThis study reports that approximately one-half of the older adult patients die within 1 y after trauma.

Indexed as

Wounds and InjuriesAccidents, TrafficAgedAged, 80 and overFemaleHumansInjury Severity ScoreMaleMiddle AgedPakistanProspective StudiesRegistriesRisk FactorsCritical careInjury severity score (ISS)Low- and middle-income countries (LMICs)Older adultsTraumaTrauma registry

Identifiers

PMID41894978
PMCPMC13286251

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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.