Evidence map›Paper›PMID 32369301›Full record

ArticleBrazilian journal of cardiovascular surgery2020

Predicting Outcomes of Penetrating Cardiovascular Injuries at a Rural Center by Different Scoring Systems.

Ali Ahmet Arikan, Emre Selçuk, Fatih Avni Bayraktar

Open access · diamondAbstract read
In one paragraph

Article in Brazilian journal of cardiovascular surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

3 authors at 2 institutions in 1 country.

Ali Ahmet ArikanKocaeli University Medical Faculty Department of Cardiovascular Surgery Kocaeli Turkey Department of Cardiovascular Surgery, Kocaeli University Medical Faculty, Kocaeli, Turkey.
Emre SelçukMuş State Hospital Department of Cardiovascular Surgery Muş Turkey Department of Cardiovascular Surgery, Muş State Hospital, Muş, Turkey.
Fatih Avni BayraktarMuş State Hospital Department of Cardiovascular Surgery Muş Turkey Department of Cardiovascular Surgery, Muş State Hospital, Muş, Turkey.
Sivas State Hospital · TRKocaeli Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the anatomical and physiological scoring systems and the outcomes of surgical management of penetrating cardiovascular trauma at a rural center.

methodsSeventy-seven patients underwent emergency surgery at our center between January/2012 and October/2018 due to penetrating cardiovascular trauma. Injury Severity Score (ISS), Revised Trauma Score (RTS), New Injury Severity Score (NISS), and Trauma and Injury Severity Score (TRISS) were calculated. The validation of these risk scores to predict mortality was assessed by the area under the receiver operating characteristic curve analysis.

resultsAll trauma scores were correlated with mortality. As ISS, NISS, and TRISS values increased and RTS values decreased, the mortality rate increased. The area under the curve (AUC) in the receiver operating characteristic curve analysis was 0.943 for TRISS, 0.915 for RTS, 0.890 for ISS, and 0.896 for NISS (P<0.001 for each). Logistic regression analysis revealed that scores were correlated with mortality (P<0.001 for each). By investigating cardiac injuries alone, only TRISS and RTS results correlated with mortality for cardiac injuries (Mann-Whitney U test, P=0.003 and P=0.01, respectively). The AUC was only statistically significant for TRISS and RTS (AUC=0.929, P<0.05 for both). For vascular injuries, all the scores were significantly correlated with in-hospital mortality (Mann-Whitney U test, P<0.001 for each). TRISS had the highest AUC (AUC=0.946, P<0.001).

conclusionTRISS has the highest predictivity for in-hospital mortality in patients with penetrating cardiovascular trauma.

Indexed as

Wounds, PenetratingHospital MortalityHumansPredictive Value of TestsRetrospective StudiesROC CurveTrauma Severity IndicesArea Under CurveHeart InjuriesInjury Severity ScorePenetrating WoundsRural HospitalsVascular System Injuries

Identifiers

PMID32369301
PMCPMC7199982
OpenAlexW3013497438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.