Evidence map›Paper›PMID 32399761›Full record

ArticleEmergency radiology2020

Trauma CT evaluation prior to selective angiography in patients with traumatic injuries: negative predictive power and factors affecting its utility.

John A Cieslak, Tarek Jazmati, Aesha Patel, Humaira Chaudhry, Abhishek Kumar, Sohail Contractor, Pratik A Shukla

Abstract read
PubMed Publisher
In one paragraph

Article in Emergency radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Transcatheter Arterial Embolization for Hemorrhagic Pelvic Fracture: Review Article.Interventional radiology (Higashimatsuyama-shi (Japan) · 2024
    Review
  4. Review
  5. Review
  6. Basic Principles of Trauma Embolization.Seminars in interventional radiology · 2021
    Review
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

7 authors at 1 institution in 1 country.

John A CieslakDivision of Vascular and Interventional Radiology, Department of Radiology, Rutgers New Jersey Medical School, 185 South Orange Ave. MSB F-560, Newark, NJ, 07103, USA.
Tarek JazmatiDivision of Vascular and Interventional Radiology, Department of Radiology, Rutgers New Jersey Medical School, 185 South Orange Ave. MSB F-560, Newark, NJ, 07103, USA.
Aesha PatelDivision of Vascular and Interventional Radiology, Department of Radiology, Rutgers New Jersey Medical School, 185 South Orange Ave. MSB F-560, Newark, NJ, 07103, USA.
Humaira ChaudhryDivision of Body Imaging, Department of Radiology, Rutgers New Jersey Medical School, 185 South Orange Ave. MSB F-560, Newark, NJ, 07103, USA.
Abhishek KumarDivision of Vascular and Interventional Radiology, Department of Radiology, Rutgers New Jersey Medical School, 185 South Orange Ave. MSB F-560, Newark, NJ, 07103, USA.
Sohail ContractorDivision of Vascular and Interventional Radiology, Department of Radiology, Rutgers New Jersey Medical School, 185 South Orange Ave. MSB F-560, Newark, NJ, 07103, USA.
Pratik A ShuklaDivision of Vascular and Interventional Radiology, Department of Radiology, Rutgers New Jersey Medical School, 185 South Orange Ave. MSB F-560, Newark, NJ, 07103, USA. Pratik.a.shukla@gmail.com.
Rutgers New Jersey Medical School

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the predictive power of arterial injury detected on contrast-enhanced CT (trauma CT (tCT)) imaging obtained prior to selective angiography for treatment of patients with traumatic abdominal and pelvic injuries. MATERIALS AND

methodsA retrospective chart review was performed of all patients who underwent angiography after undergoing contrast-enhanced CT imaging for the evaluation/treatment of traumatic injuries to the abdomen and pelvis between March 2014 and September 2018. Data collection included demographics, pertinent history and physical findings, CT and angiography findings, treatment information, and outcomes.

resultsEighty-nine (63 males, mean age = 45.8 ± 20.5 years) patients that were found to have 102 traumatic injuries on tCT and subsequently underwent angiography met inclusion criteria for this study. Sixty-four injuries demonstrated evidence of traumatic vascular injury on initial tCT. A negative tCT was able to predict subsequent negative angiography in 83% of cases (negative predictive power = 83%). The ability of tCT to rule out a positive finding on subsequent angiography was also 83% (sensitivity = 83%). The average systolic blood pressure and hemoglobin concentration at the time of tCT were higher in patients who had positive tCT than in patients with negative tCT (p < 0.05 and p < 0.01, respectively). The average time to angiography was greater in patients whom had subsequent negative angiography than the patients who had subsequent positive angiography (p < 0.05).

conclusionContrast-enhanced CT imaging may be able to help stratify patients who may have subsequent negative angiograms. Hemodynamic factors may affect sensitivity of tCT. Shorter time to angiography may increase the chance of identifying the injury on subsequent angiography.

Indexed as

AngiographyTomography, X-Ray ComputedAbdominal InjuriesContrast MediaEmergency Service, HospitalFemaleHumansMaleMiddle AgedPelvisPredictive Value of TestsSensitivity and SpecificityVascular System InjuriesContrast MediaEmbolizationExtravasationHemodynamicsTime to angiography (TTA)Trauma computed tomography (tCT)Traumatic hemorrhage

Identifiers

PMID32399761
OpenAlexW3025959825

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.