Evidence map›Paper›PMID 23461696›Full record

ArticleSurgical infections2013

Predictors of sepsis in moderately severely injured patients: an analysis of the National Trauma Data Bank.

Mehreen Kisat, Cassandra V Villegas, Sharon Onguti, Syed Nabeel Zafar, Asad Latif, David T Efron, Elliott R Haut, Eric B Schneider, Pamela A Lipsett, Hasnain Zafar and 1 more

Abstract read
In one paragraph

Article in Surgical infections, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

33 citing papers in PubMed, 65 citations in OpenAlex.

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  17. Adrenomedullin and Its Possible Role in Improved Survival in Female Patients with Sepsis: A Study in the South East Asian Region.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
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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

11 authors at 3 institutions in 2 countries.

Mehreen KisatCenter for Surgery Trials and Outcomes Research, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21212, USA.
Cassandra V Villegas
Sharon Onguti
Syed Nabeel Zafar
Asad Latif
David T Efron
Elliott R Haut
Eric B Schneider
Pamela A Lipsett
Hasnain Zafar
Adil H Haider
Johns Hopkins Medicine · USJohns Hopkins University · USAga Khan University Hospital · PK

Funding

Understanding Mechanisms that lead to Disparities in Trauma OutcomesK23GM093112 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HAIDER, ADIL H · 2010 to 2013
$516k
NIGMS NIH HHS K23GM093112-01
6 · The paper itself

Abstract

backgroundPost-traumatic sepsis is a significant cause of in-hospital death. However, socio-demographic and clinical characteristics that may predict sepsis in injured patients are not well known. The objective of this study was to identify risk factors that may be associated with post-traumatic sepsis.

methodsRetrospective analysis of patients in the National Trauma Data Bank for 2007-2008. Patients older than 16 years of age with an Injury Severity Score (ISS) ≥ 9 points were included. Multivariable logistic regression was used to determine association of sepsis with patient (age, gender, ethnicity, and insurance status), injury (mechanism, ISS, injury type, hypotension), and clinical (major surgical procedure, intensive care unit admission) characteristics.

resultsOf a total of 1.3 million patients, 373,370 met the study criteria, and 1.4% developed sepsis, with an associated mortality rate of approximately 20%. Age, male gender, African-American race, hypotension on emergency department presentation, and motor vehicle crash as the injury mechanism were independently associated with post-traumatic sepsis.

conclusionsSocio-demographic and injury factors, such as age, race, hypotension on admission, and severity and mechanism of injury predict post-traumatic sepsis significantly. Further exploration to explain why these patient groups are at increased risk is warranted in order to understand better and potentially prevent this life-threatening complication.

Indexed as

Accidental FallsAccidents, TrafficAdolescentAdultAgedAged, 80 and overBlack or African AmericanDatabases, FactualFemaleHumansInjury Severity ScoreLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds Ratio

Identifiers

PMID23461696
PMCPMC3601717
OpenAlexW2073358808

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.