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Record W4311321041 · doi:10.7759/cureus.32429

Penetrating Abdominal Trauma: Descriptive Analysis of a Case Series from an Indian Metropolitan City

2022· article· en· W4311321041 on OpenAlexaff
Sumathi Nadikuditi, Nachappa Sivanesan Uthraraj, Vandana Krishnamurthy, Karan Kumar, Meghanaprakash Hiriyur Prakash, Laya Manasa Sriraam, Gokul K Shanker Ramasamy, Kannaki Uthraraj Chettiakkapalayam Venkatachalam

Bibliographic record

VenueCureus · 2022
Typearticle
Languageen
FieldMedicine
TopicAbdominal Trauma and Injuries
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsMedicineObservational studyMetropolitan areaPsychological interventionDescriptive statisticsPresentation (obstetrics)Emergency departmentPenetrating traumaAbdominal traumaEmergency medicineMedical emergencySurgeryNursingBluntPathology

Abstract

fetched live from OpenAlex

Introduction Penetrating abdominal trauma (PAT) is a major injury that patients present to the emergency department in developed and developing countries. There are many modes and causes of injury. The aim of this study is to analyse the patterns of presentation and parameters at assessment, including investigations, interventions and outcomes of penetrating abdominal trauma at a major trauma centre in an Indian metropolitan city. Methods This is an observational descriptive study done over 18 months at a major trauma centre in a metropolitan city in India. The study was registered with the institutional ethics committee and the patients were recruited after obtaining consent on admission. The relevant details were collected from the patient's electronic records after admission and analysed. Results Stab wounds in the 21-40-year-old subset were the commonest. The small intestine was the most commonly injured organ. The mortality rates and the duration of the hospital stay were similar to other case series of the same condition. Conclusion The analysis of our case series has highlighted the patterns and outcomes of penetrating abdominal trauma in an urban demographic of a developing economy. Individuals in the prime of their lives, unfortunately, are victims of this mode of injury. Better implementation of standard management protocols can improve outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.323
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

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