Evidence map›Paper›PMID 38821531›Full record

SynthesisThe American surgeon2025

Predictors of Clinical Outcomes and the Need for Massive Transfusion Protocols in Geriatric Trauma Patients With Hemorrhagic Shock: A Systematic Review.

Hazem Nasef, Caitlin Tweedie, Nikita Bundschu, Quratulain Amin, Nickolas Hernandez, Francis Cruz, Chadwick P Smith, Adel Elkbuli

Expression of concernAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in The American surgeon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Not yet cited in PubMed.

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0citing papers 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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Hazem NasefNOVA Southeastern University, Kiran Patel College of Allopathic Medicine, Fort Lauderdale, FL, USA.
Caitlin TweedieDepartment of Internal Medicine, Orlando Regional Medical Center, Orlando, FL, USA.
Nikita BundschuNOVA Southeastern University, Kiran Patel College of Allopathic Medicine, Fort Lauderdale, FL, USA.
Quratulain AminNOVA Southeastern University, Kiran Patel College of Allopathic Medicine, Fort Lauderdale, FL, USA.
Nickolas HernandezWilliam Carey University College of Osteopathic Medicine, Hattiesburg, MS, USA.
Francis CruzUniversity of Alabama School of Medicine, Birmingham, AL, USA.
Chadwick P SmithDepartment of Surgery, Division of Trauma and Surgical Critical Care, Orlando Regional Medical Center, Orlando, FL, USA.
Adel ElkbuliDepartment of Surgery, Division of Trauma and Surgical Critical Care, Orlando Regional Medical Center, Orlando, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionThe current literature lacks a clear consensus on the predictors of mortality and outcomes of geriatric trauma patients in hemorrhagic shock. This systematic review aims to investigate predictors of clinical outcomes and the need for massive transfusion protocol in the geriatric trauma population with hemorrhagic shock.MethodsPubMed, EMBASE, Cochrane, ProQuest, and Google Scholar were searched for studies evaluating geriatric trauma patients in hemorrhagic shock or receiving MTP. Outcomes of interest included the effect of advanced age on clinical outcomes, the accuracy of SI and other variables in predicting mortality and need for MTP, and associations between blood product ratio and clinical outcomes.ResultsFifteen studies were included in this systematic review. In most studies, advanced age was an accurate predictor of mortality and complication rates in geriatric patients undergoing management of shock with MTP. SI along with other variables such as systolic blood pressure (SBP) were sensitive predictors of mortality and the need for MTP. Studies evaluating blood product ratio found an increased incidence of complications with higher plasma: red blood cell ratios.ConclusionAdvanced age among geriatric patients is associated with increased mortality and complications when undergoing MTP. Shock Index and age x Shock Index are accurate and reliable predictors of mortality and need for MTP in the geriatric trauma population with hemorrhagic shock suffering blunt and/or penetrating injuries. An increased plasma: RBC ratio was associated with more complications in geriatric patients.

Indexed as

Blood TransfusionShock, HemorrhagicWounds and InjuriesAgedAge FactorsHumansTreatment Outcomeclinical outcomesgeriatrichemorrhagic shockmassive transfusion protocolshock index

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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.