Evidence map›Paper›PMID 33688419›Full record

ArticleJournal of healthcare engineering2021

Diagnostic Value of Multislice Spiral CT Cardiothoracic Combined with Angiography in Acute Chest Pain.

Yinggan Du, Zetian Yang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Yinggan DuJinhua Municipal Central Hospital, Jinhua Hospital of Zhejiang University, Jinhua, Zhejiang 321000, China.ORCID 0000-0001-9032-7258
Zetian YangZhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute chest pain is a common clinical emergency condition with a variety of causes, including acute coronary syndrome, pulmonary embolism, aortic coarctation, and pneumothorax. It is essential for emergency physicians to quickly and accurately understand the cause of acute chest pain. 64-slice spiral CT combined cardiothoracic angiography is an accurate and rapid way to diagnose and differentiate the cause of acute chest pain. 64-slice combined cardiothoracic angiography can accurately and rapidly display the thoracic aorta, both pulmonary arteries, the main trunk of the coronary artery and its major branches, and also provide a comprehensive view of both lungs and mediastinum, which is an effective test for the diagnosis and differential diagnosis of acute chest pain. Based on this, this study further investigated the value of 64-slice spiral CT triplex examination in the diagnosis of acute chest pain. The results showed that 64-slice spiral CT has the advantages of fast scanning speed, high resolution, and advanced postprocessing technology, and combined cardiothoracic angiography can quickly and accurately help emergency physicians analyze the cause of acute chest pain, which plays a very important role in formulating the correct treatment plan in a timely manner. At the same time, with the continuous development of CT technology, the temporal and spatial resolution has improved the quality of CT images, giving us more options to reduce the effective radiation dose and reduce the total amount of contrast, making the 64-row spiral CT cardiothoracic imaging more perfect.

Indexed as

Chest PainTomography, X-Ray ComputedAngiographyEmergency Service, HospitalHumansTomography, Spiral Computed

Identifiers

PMID33688419
PMCPMC7914098
OpenAlexW3130801732

What OpenQuestion holds

Textmetadata
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.