Evidence map›Paper›PMID 28286834›Full record

ArticleEmergency (Tehran, Iran)2017

Thoracic Injury Rule out Criteria in Prediction of Traumatic Intra-thoracic Injuries; a Validation Study.

Setareh Asgarzadeh, Bahareh Feizi, Farhad Sarabandi, Morteza Asgarzadeh

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Article in Emergency (Tehran, Iran), 2017. 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
–field-weighted citation impact
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

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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.

  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

4 authors.

Setareh AsgarzadehClinical Research Development Center, Amir-Almomenin Hospital, Islamic Azad University, Tehran Medical Sciences Branch, Tehran, Iran.
Bahareh FeiziEmergency Department, Pasteur Hospital, Bam University of Medical Sciences, Bam, Iran.
Farhad SarabandiClinical Research Development Center, Amir-Almomenin Hospital, Islamic Azad University, Tehran Medical Sciences Branch, Tehran, Iran.
Morteza AsgarzadehHarvard T.H. Chan School of Public Health, 667 Huntington Avenue, Boston, MA, 02115.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDoing Chest X Ray (CXR) for all trauma patients is not efficient and cost effective due to its low diagnostic value. The present study was designed aiming to evaluate the diagnostic accuracy of thoracic injury rule out criteria (TIRC) in prediction of traumatic intra-thoracic injuries and need for CXR.

methodThe present study is a prospective cross-sectional study that has been carried out to evaluate the accuracy of TIRC model in screening blunt multiple trauma patients in need of CXR for ruling out intra-thoracic injuries.

results1518 patients with the mean age of 33.53 ± 15.42 years were enrolled (80.4% male). The most common mechanisms of trauma were motor car accident (78.8%) and falling (13.6%). Area under the ROC curve, sensitivity, and specificity of model in detection of traumatic thoracic injuries was 0.95 (95% CI: 0.93 - 0.97), 100 (95% CI: 87.0 - 100), and 80.1 (95% CI: 78.0 - 82.1), respectively. Brier score for TIRC was 0.02 and its scaled reliability was 0.0002.

conclusionFindings of the present study showed that TIRC has high accuracy in prediction of traumatic intra-thoracic injuries and screening patients in need of CXR.

Indexed as

diagnosismass chest x-rayThoracic injuries. decision support techniques

Identifiers

PMID28286834
PMCPMC5325896

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