Evidence map›Paper›PMID 36600100›Full record

ArticlePediatric radiology2023

Computed tomography and magnetic resonance imaging of congenital thoracic systemic venous anomalies.

Nihal M Batouty, Ahmed M Tawfik, Donia M Sobh, Ahmed A K A Razek

Open access · hybridAbstract read
In one paragraph

Article in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.8field-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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Nihal M BatoutyDepartment of Diagnostic and Interventional Radiology, Mansoura University, Faculty of Medicine, 12 El-Gomhoreya St., Mansoura, 35112, Egypt. nihalbatouty@gmail.com.ORCID 0000-0002-4544-2692
Ahmed M TawfikDepartment of Diagnostic and Interventional Radiology, Mansoura University, Faculty of Medicine, 12 El-Gomhoreya St., Mansoura, 35112, Egypt.ORCID 0000-0003-0714-9660
Donia M SobhDepartment of Diagnostic and Interventional Radiology, Mansoura University, Faculty of Medicine, 12 El-Gomhoreya St., Mansoura, 35112, Egypt.ORCID 0000-0003-0364-0540
Ahmed A K A RazekDepartment of Diagnostic and Interventional Radiology, Mansoura University, Faculty of Medicine, 12 El-Gomhoreya St., Mansoura, 35112, Egypt.ORCID 0000-0002-9613-5932
Mansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the imaging findings of thoracic systemic venous anomalies diagnosed by computed tomography and magnetic resonance imaging. Persistent left superior vena cava is the commonest anomaly of the thoracic systemic veins encountered either incidentally as an isolated finding or associated with congenital heart disease. Inferior vena cava (IVC) interruption with azygos continuation is the second most common anomaly, which may also be isolated or be associated with left isomerism syndrome. The article will also discuss other rarer systemic venous anomalies including retroaortic brachiocephalic vein and IVC drainage into the left atrium. Finally, the impact of pre-procedure reporting of thoracic systemic venous anomalies on the choice of intervention and patient outcome will be addressed.

Indexed as

Heterotaxy SyndromeVascular MalformationsHumansMagnetic Resonance ImagingTomography, X-Ray ComputedVena Cava, InferiorVena Cava, SuperiorAzygos veinBrachiocephalic veinChildrenComputed tomographyCongenital heart diseaseInferior vena cavaMagnetic resonance imagingSuperior vena cava

Identifiers

PMID36600100
PMCPMC10156895
OpenAlexW4313489543

What OpenQuestion holds

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LicenceCC BY
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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.