ArticleOpen access emergency medicine : OAEM2026
Shock Index versus Systolic Blood Pressure for Mortality Prediction in Traumatic Hemorrhage: A Comparative Prognostic Evaluation in a Middle-Income Country.
Article in Open access emergency medicine : OAEM, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Development and Temporal Validation of a Logistic Regression-Based Risk Score for Identifying Life-Threatening Chest Pain at Emergency Department Triage: A Retrospective Cohort Study.Vascular health and risk management · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study aims to evaluate and compare the prognostic performance of shock index (SI) and systolic blood pressure (SBP) for predicting mortality among trauma patients at risk of hemorrhage in South Africa, a high-trauma burden setting with resource constraints. Patients and Methods: This is a secondary analysis of data from the EpiC study, a prospective, multicenter observational investigation of trauma patients in the Western Cape, South Africa. Adult patients with blunt or penetrating injuries and no significant head injury were included. The predictor variables-SI and SBP at facility arrival-and the outcome (30-day mortality) were analyzed through a sequential analytical framework. Segmented logistic regressions identified inflection points; ROC analyses with Youden's J statistic determined optimal thresholds. Model comparisons employed DeLong's test, calibration plots, Brier scores, and decision curve analysis. Subgroup analyses were conducted by injury mechanism and severity. Results: Among 3609 patients, 6.1% died within 30 days. SI demonstrated an inflection point at 0.69 and SBP at 82 mmHg. ROC analysis yielded similar AUCs of 0.62 (SI) and 0.60 (SBP) (p=0.418). However, SI showed superior calibration (Brier score: 0.054 vs 0.058), a higher positive likelihood ratio (2.70 vs 2.01; p<0.001), and greater net benefit across a broader range of predicted-risk thresholds on decision curve analysis. The optimal SI cutoff of ≥1.21 yielded 85.1% specificity and 40.3% sensitivity. Conclusion: Both SI and SBP demonstrated only modest discrimination for 30-day mortality, reflecting the inherent limitations of single vital-sign predictors in complex trauma populations. Within these constraints, SI showed marginally better calibration and rule-in performance than SBP; however, neither predictor alone is sufficient for definitive mortality risk prediction. An SI threshold of ≥1.21 may serve as a practical screening tool to flag high-risk patients warranting closer monitoring or escalated care, particularly in resource-limited settings where laboratory and imaging resources are constrained.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.