Evidence map›Paper›PMID 28058071›Full record

ArticlePolish journal of radiology2016

Renal Artery Injury Secondary to Blunt Abdominal Trauma - Two Case Reports.

Zahoor Ahmed, Syed Nabir, Mohamed Nadeem Ahmed, Shatha Al Hilli, Vajjala Ravikumar, Umais Zaid Momin

Open access · greenAbstract readCase Reports
In one paragraph

Article in Polish journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
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  7. Article
  8. Blunt renal artery trauma: A therapeutic dilemma.Turkish journal of urology · 2019
    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

6 authors at 1 institution in 1 country.

Zahoor AhmedDepartment of Radiology, Hamad General Hospital, Doha, Qatar.
Syed NabirDepartment of Radiology, Hamad General Hospital, Doha, Qatar.
Mohamed Nadeem AhmedDepartment of Radiology, Hamad General Hospital, Doha, Qatar.
Shatha Al HilliDepartment of Radiology, Hamad General Hospital, Doha, Qatar.
Vajjala RavikumarDepartment of Radiology, Hamad General Hospital, Doha, Qatar.
Umais Zaid MominDepartment of Radiology, Hamad General Hospital, Doha, Qatar.
Hamad General Hospital · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlunt abdominal trauma is routinely encountered in the Emergency Department. It is one of the main causes of morbidity and mortality amongst the population below the age of 35 years worldwide. Renal artery injury secondary to blunt abdominal trauma however, is a rare occurrence. Here, we present two such cases, encountered in the emergency department sustaining polytrauma following motor vehicle accidents. CASE REPORT: We hereby report two interesting cases of renal artery injury sustained in polytrauma patients. In these two cases we revealed almost the entire spectrum of findings that one would expect in renal arterial injuries.

conclusionsTraumatic renal artery occlusion is a rare occurrence with devastating consequences if missed on imaging. Emergency radiologists need to be aware of the CT findings so as to accurately identify renal artery injury. This case report stresses the need for immediate CT assessment of polytrauma patients with suspected renal injury, leading to timely diagnosis and urgent surgical or endovascular intervention.

Indexed as

Abdominal InjuriesMultiple TraumaRenal Artery

Identifiers

PMID28058071
PMCPMC5181523
OpenAlexW2558179339

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.