Evidence map›Paper›PMID 35385153›Full record

ArticleClinical anatomy (New York, N.Y.)2022

Anatomical variants identified on chest computed tomography of 1000+ COVID-19 patients from an open-access dataset.

Laphatrada Yurasakpong, Somluk Asuvapongpatana, Wattana Weerachatyanukul, Krai Meemon, Nopporn Jongkamonwiwat, Nutmethee Kruepunga, Arada Chaiyamoon, Thanwa Sudsang, Joe Iwanaga, R Shane Tubbs and 1 more

Open access · greenAbstract read
In one paragraph

Article in Clinical anatomy (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 22% 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, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Anatomical study and meta-analysis of the episternal ossicles.Surgical and radiologic anatomy : SRA · 2024
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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

11 authors at 4 institutions in 4 countries.

Laphatrada YurasakpongDepartment of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-6030-8160
Somluk AsuvapongpatanaDepartment of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0003-1594-6555
Wattana WeerachatyanukulDepartment of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-4365-4800
Krai MeemonDepartment of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-5700-2646
Nopporn JongkamonwiwatDepartment of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0003-3311-2773
Nutmethee KruepungaDepartment of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-3871-1209
Arada ChaiyamoonDepartment of Anatomy, Faculty of Medicine, Khon Kaen University, KhonKaen, Thailand.ORCID https://orcid.org/0000-0002-4748-9021
Thanwa SudsangDepartment of Diagnostic and Therapeutic Radiology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Joe IwanagaDepartment of Neurosurgery, Tulane University School of Medicine, Louisiana, USA.ORCID https://orcid.org/0000-0002-8502-7952
R Shane TubbsDepartment of Neurosurgery, Tulane University School of Medicine, Louisiana, USA.ORCID https://orcid.org/0000-0003-1317-1047
Athikhun SuwannakhanDepartment of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-9910-0244
Mahidol University · THKhon Kaen University · THKurume University · JPTulane University · US

Funding

Faculty of Science, Mahidol University
6 · The paper itself

Abstract

Chest computed tomography (CT) has been the preferred imaging modality during the pandemic owing to its sensitivity in detecting COVID-19 infections. Recently, a large number of COVID-19 imaging datasets have been deposited in public databases, leading to rapid advances in COVID-19 research. However, the application of these datasets beyond COVID-19-related research has been little explored. The authors believe that they could be used in anatomical research to elucidate the link between anatomy and disease and to study disease-related alterations to normal anatomy. Therefore, the present study was designed to investigate the prevalence of six well-known anatomical variants in the thorax using open-access CT images obtained from over 1000 Iranian COVID-19 patients aged between 6 and 89 years (60.9% male and 39.1% female). In brief, we found that the azygos lobe, tracheal bronchus, and cardiac bronchus were present in 0.8%, 0.2%, and 0% of the patients, respectively. Variations of the sternum, including sternal foramen, episternal ossicles, and sternalis muscle, were observed in 9.6%, 2.9%, and 1.5%, respectively. We believe anatomists could benefit from using open-access datasets as raw materials for research because these datasets are freely accessible and are abundant, though further research is needed to evaluate the uses of other datasets from different body regions and imaging modalities. Radiologists should also be aware of these common anatomical variants when examining lung CTs, especially since the use of this imaging modality has increased during the pandemic.

Indexed as

COVID-19AdolescentAdultAgedAged, 80 and overChildFemaleHumansIranMaleMiddle AgedPandemicsThoraxTomography, X-Ray ComputedYoung Adultbronchicomputed tomographyCOVID-19datasetlungtrachea

Identifiers

PMID35385153
PMCPMC9083245
OpenAlexW4224244718

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.