Evidence map›Paper›PMID 32623113›Full record

Observational studyEuropean journal of radiology2020

Spectrum of chest computed tomographic (CT) findings in coronavirus disease-19 (COVID-19) patients in India.

Arshed Hussain Parry, Abdul Haseeb Wani, Mudasira Yaseen, Khurshid Ahmad Dar, Naseer Ahmad Choh, Naseer Ahmad Khan, Naveed Nazir Shah, Majid Jehangir

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in European journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.1field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  5. AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions.Ingenierie et recherche biomedicale : IRBM = Biomedical engineering and research · 2022
    Review
  6. Article
  7. Article
  8. Article
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  12. Article
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  14. Article
  15. Review
  16. Article
  17. Article
  18. Does CT help in reducing RT-PCR false negative rate for COVID-19?The Indian journal of radiology & imaging · 2021
    Article
  19. Article
  20. K18-hACE2 mice develop respiratory disease resembling severe COVID-19.bioRxiv : the preprint server for biology · 2020
    Article
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

8 authors at 3 institutions in 1 country.

Arshed Hussain ParryDepartment of Radiodiagnosis, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, Jammu & Kashmir, India.
Abdul Haseeb WaniDepartment of Radiodiagnosis, Government Medical College, Srinagar, Jammu & Kashmir, India. Electronic address: soberseeb@gmail.com.
Mudasira YaseenDepartment of Anesthesiology and Critical Care Medicine, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, Jammu & Kashmir, India.
Khurshid Ahmad DarDepartment of Respiratory Medicine, Chest Disease Hospital, Srinagar, Jammu & Kashmir, India.
Naseer Ahmad ChohDepartment of Radiodiagnosis, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, Jammu & Kashmir, India.
Naseer Ahmad KhanDepartment of Radiodiagnosis, Government Medical College, Srinagar, Jammu & Kashmir, India.
Naveed Nazir ShahDepartment of Respiratory Medicine, Chest Disease Hospital, Srinagar, Jammu & Kashmir, India.
Majid JehangirDepartment of Radiodiagnosis, Government Medical College, Srinagar, Jammu & Kashmir, India.
Government Medical College · INSher-i-Kashmir Institute of Medical Sciences · INShri Maharaja Hari Singh Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo report the spectrum of chest computed tomographic (CT) imaging findings in coronavirus disease-19 (COVID-19) infected Indian patients.

methodsThis was a prospective descriptive study comprising 147 consecutive reverse transcriptase polymerase chain reaction (RT-PCR) positive patients who underwent CT chest. Prevalence, distribution, extent and type of abnormal lung findings were recorded.

resultsAmong the total study cohort of 147 patients, 104 (70.7 %) were males and 43 (29.3 %) were females with mean age of 40.9 ± 17.2 years (range 24-71 years). We observed lung parenchymal abnormalities in 51 (34.7 %) cases whereas 96 (65.3 %) RT-PCR positive cases had a normal chest CT. Only 12.2 % of the patients were dyspneic, 6.1 % had desaturation, 7.4 % had increased respiratory rate and 10.9 % had comorbidities. Among the patients with abnormal CT findings bilateral 39/51 (76.5 %), multilobar (88.2 %) lung involvement with a predominant peripheral and posterior distribution was commonly observed. With regards to the type of opacity, ground glass opacity (GGO) was the dominant abnormality found in all 51 (100 %) cases. Pure GGO was observed in 15 (29.4 %), GGO with crazy paving pattern was seen in 15 (29.4 %) and GGO mixed with consolidation was noted in 21(41.2 %). Peri-lesional or intralesional segmental or subsegmental pulmonary vessel enlargement was observed in 36 (70.6 %) cases.

conclusionIn this study population predominantly with mild symptoms and few comorbidities, two-thirds of RT-PCR positive patients had a normal chest CT; whereas the remaining patients showed typical findings of predominant GGOs with a bilateral distribution and peripheral predominance.

Indexed as

BetacoronavirusAdultAgedClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingDyspneaFemaleHumansHypertrophyIndiaLungMaleMiddle AgedPandemicsCOVID-19CTSARS-CoV-2

Identifiers

PMID32623113
PMCPMC7313528
OpenAlexW3036683153

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.