Evidence map›Paper›PMID 31685355›Full record

ArticleChinese journal of traumatology = Zhonghua chuang shang za zhi2020

Clinical predictors of abnormal chest CT scan findings following blunt chest trauma: A cross-sectional study.

Saeed Safari, Melina Farbod, Hamidreza Hatamabadi, Mahmoud Yousefifard, Navid Mokhtari

Open access · diamondAbstract read
In one paragraph

Article in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 35 citations in OpenAlex.

  1. Article
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

5 authors at 3 institutions in 1 country.

Saeed SafariEmergency Department, Shohadaye Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Melina FarbodEmergency Department, Shohadaye Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: farbodmelina@yahoo.com.
Hamidreza HatamabadiEmergency Department, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mahmoud YousefifardDepartment of Physiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Navid MokhtariEmergency Department, Shohadaye Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRImam Hossein Hospital · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSome surgeons believe that chest computed tomography (CT) scan should be used more prudently in management of blunt chest trauma patients. This study aimed to evaluate the clinical predictors of abnormal chest CT scan findings in trauma patients.

methodsThis cross-sectional study was conducted on blunt chest trauma patients aged ≥18 years who were referred to the emergency departments of two educational hospitals and underwent chest CT scan. These patients were enrolled in the study using a non-probability sampling method. The exclusion criteria included: class III or IV hemodynamic shock, need for immediate surgical or neurosurgical interventions, penetrating trauma, lack of required information, and pregnancy. Demographic factors, accident details, trauma mechanism, vital signs, and level of consciousness in predicting abnormal chest CT scan findings were evaluated. Analysis was performed using IBM SPSS statistics 21.

resultsA total of 977 patients (male 51.5%, female 48.5%) with the mean age of (41.71 ± 14.24) years, range 18-88 years were studied; 34.2% of them with high energy trauma mechanism. With 334 (34.2%) patients had abnormal findings on chest X-ray (CXR) and 332 (34.0%) cases had an abnormal findings on chest CT scan (agreement rate was 99.4%). There was a significant correlation between male gender (p < 0.0001), GCS<15 (p < 0.0001), high energy trauma mechanism (p < 0.0001), unstable hemodynamics (p < 0.01), and clinical signs and symptoms (p < 0.0001) with chest CT findings. Chest wall deformity (odds = 8; p < 0.0001), generalized tenderness (odds = 6.6, p < 0.0001), and decreased cardiac sound (odds = 3.8, p < 0.0001) were the important and independent clinical predictors of abnormal chest CT scan findings.

conclusionBased on the findings, chest wall deformity, generalized tenderness, decreased cardiac sound, distracting pain, chest wall tenderness, high energy trauma mechanism, male gender, respiratory rate > 20 breathes/min, decreased pulmonary sound, and chest wall crepitation were independent clinical predictors of abnormal chest CT scan findings following blunt trauma.

Indexed as

Radiography, ThoracicTomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsThoracic InjuriesWounds, NonpenetratingYoung AdultClinical alarmsComputed tomographyDecision support techniquesMultiple injuriesThoracic injuriesX-ray

Identifiers

PMID31685355
PMCPMC7049617
OpenAlexW2972383993

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.