Evidence map›Paper›PMID 36338618›Full record

ReviewFrontiers in surgery2022

Delayed diagnosis of blunt thoracic aortic injury due to thoracic vertebral fracture: A case report and literature review.

Xinhuan Lei, Zhenghua Hong, Weixing Pan, Jie Xiang, Hua Luo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 3 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

5 authors at 1 institution in 1 country.

Xinhuan LeiDepartment of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
Zhenghua HongDepartment of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
Weixing PanDepartment of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
Jie XiangDepartment of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
Hua LuoDepartment of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blunt vascular injury of the aorta combined with thoracolumbar fracture is rare. Delayed diagnosis may have a catastrophic outcome. We present a case of blunt thoracic aortic injury combined with a vertebral body fracture at T10 after a fall from height in which the diagnosis was delayed. After consultation with the vascular and spinal surgeons, we performed a thoracic endovascular aortic repair. When the patient's condition had stabilized, the fractures were reduced using posterior vertebral instrumentation. Prolonged compression of the thoracic aorta resulted in extensive necrosis of muscle tissues in the right lower leg. Fortunately, clinical and radiological examinations performed 7 months and 1 year later did not reveal any further damage. Cases of thoracic vertebral fracture with concomitant blunt thoracic aortic injury reported in the literature are reviewed. Thoracic endovascular aortic repair is a feasible, safe, and effective minimally invasive treatment for aortic injury when combined with thoracic vertebral fracture.

Indexed as

case reportdelayed diagnosisthoracic aortic injurythoracic endovascular aortic repairthoracic vertebral fracture

Identifiers

PMID36338618
PMCPMC9630568
OpenAlexW4306929363

What OpenQuestion holds

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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.