Evidence map›Paper›PMID 34432083›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2022

Pelvic fractures in severely injured elderly: a double-adjustment propensity score matched analysis from a level I trauma center.

Shekhar Gogna, Rifat Latifi, David J Samson, Jonathan Butler

Open access · bronzeAbstract read
In one paragraph

Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Shekhar GognaDepartment of Surgery, Westchester Medical Center, New York Medical College, 100 Woods Road, Taylor Pavilion, E-348, Valhalla, NY, 10595, USA.
Rifat LatifiWestchester Medical Center, New York Medical College, School of Medicine, Valhalla, NY, 10595, USA. Rifat.Latifi@wmchealth.org.ORCID http://orcid.org/0000-0003-1091-3682
David J SamsonDepartment of Surgery, Clinical Research Unit, Westchester Medical Center, 100 Woods Road, Taylor Pavilion, Office E-348, Valhalla, NY, 10595, USA.
Jonathan ButlerClinical Research Unit, Westchester Medical Center, 100 Woods Road, Taylor Pavilion, Office E-348, Valhalla, NY, 10595, USA.
Westchester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePelvic trauma has increased risk of mortality in the elderly. Our study aimed to analyze the impact of the additional burden of pelvic fractures in severely injured elderly.

methodsThis is a retrospective analysis of a prospectively maintained trauma registry from 2012 to 2018 at an American College of Surgeons (ACS) verified Level I Trauma Center. Trauma patients aged ≥ 65 years with ISS ≥ 16 and AIS severity score ≥ 3 in at least two body regions were divided in two groups: group I, consisted of elderly polytrauma patients without pelvic fractures, and group II elderly who had concomitant pelvic fractures. We used a double-adjustment method using propensity score matching (PSM) with subsequent covariate adjustment to minimize the effect of confounding factors, and give unbiased estimation of the impact of pelvic fractures. Balance assessment was conducted by computing absolute standardized mean differences (ASMDs) and ASMD < 0.10 reflects good balance between groups.

resultsOf 12,774 patients admitted during this time, 411 (3.2%) elderly with a mean age of 77.75 ± 8.32 years met the inclusion criteria. Of this cohort, only 92 patients (22.4%) had pelvic fractures. Females outnumbered males (55 vs. 45%). Comparing characteristics of group I and group II using ASMDs, pelvic trauma patients were more likely to have higher systolic blood pressure (SBP), head injuries, lower extremity injuries, anticoagulant therapy, and cirrhosis. Fewer variables differed significantly after matching. We observed few instances of worse outcomes associated with pelvic trauma using PSM with and without covariate adjustment. Crude PSM without covariate adjustment, showed a significantly higher rate of deep vein thrombosis (DVT) for pelvic trauma (p < 0.001). Crude PSM also showed a significantly higher rate of ventilator-associated pneumonia (VAP) in group II (p = 0.006). PSM with covariate adjustment did not confirm differences on these outcomes. PSM both without and with covariate adjustment found lower ventilator days and ICU length of stay among patients with pelvic trauma. No significant differences were seen on 12 outcomes: death, acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), cardiac arrest with cardiopulmonary resuscitation (CPR), myocardial infarction (MI), pulmonary embolism (PE), unplanned intubation, unplanned admission to intensive care unit (ICU), catheter-associated urinary tract infection (CAUTI), and hospital length of stay.

conclusionsAt a Level I Trauma Center the additional burden of pelvic fractures in seriously injured elderly did not translate into higher mortality. PSM without covariate adjustment suggests worse rates among pelvic trauma patients for DVT and VAP but covariate adjustment removed statistical significance for both outcomes. Pelvic trauma patients had shorter time on ventilator and in the ICU. Whether similar analytic methods applied to patients from larger data sources would produce similar findings remains to be seen.

Indexed as

Fractures, BonePelvic BonesPneumonia, Ventilator-AssociatedAgedAged, 80 and overFemaleHumansInjury Severity ScoreMalePropensity ScoreRetrospective StudiesTrauma CentersConfoundersElderlyOutcomesPelvic fracturesPropensity score matchingTrauma

Identifiers

PMID34432083
PMCPMC8385478
OpenAlexW3194716303

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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.