Evidence map›Paper›PMID 36819256›Full record

ReviewQuantitative imaging in medicine and surgery2023

Imaging options for defining anomalous origin of the coronary artery from the pulmonary artery.

Hao Xin, Mei Zhu

Open access · diamondAbstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2023. 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
0.6field-weighted citation impact, top 30% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Hao XinDepartment of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Mei ZhuDepartment of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Shandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anomalous origin of the coronary artery from the pulmonary artery is a rare type of congenital heart disease (CHD). According to the establishment of collateral circulation and the abnormal anatomy of coronary arteries, there are several clinical types. In some clinical types, serious cardiac insufficiency can arise in the early stage of the condition, which, if not promptly treated, can endanger the patient's life. Up to 90% of infants with an anomaly involving the left coronary artery die within the first year of life. The treatment of the disease is to restore the double coronary circulation as soon as possible by surgery after early detection by diagnostic imaging. Presently, medical imaging is the most commonly used examination method for a diagnosis of the disease. The comprehensive application of various imaging modalities is the basis for the diagnosis and follow-up of coronary artery origin from the pulmonary artery. The current review mainly summarized the common signs and application advantages of different imaging techniques in the diagnosis of anomalous origin of the coronary artery from the pulmonary artery. It also highlights existing problems and provides an important theoretical basis and practical guidance for imaging techniques about the coronary artery originating from the pulmonary artery's diagnosis and treatment.

Indexed as

Anomalous origin of coronary arteryCT angiographymagnetic resonance imagingpulmonary arterytransthoracic echocardiography (TTE)

Identifiers

PMID36819256
PMCPMC9929387
OpenAlexW4312799807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.