Evidence map›Paper›PMID 33814765›Full record

ArticleThe Indian journal of radiology & imaging2021

Does CT help in reducing RT-PCR false negative rate for COVID-19?

Anirudh Kohli, Anagha Joshi, Ankur Shah, Richa D Jain, Abhishek Gorlawar, Amol Dhapare, Jigar Desai, Aditya Shetty, Chirag Shah, Prachi Ostwal and 1 more

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of radiology & imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 16 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

11 authors at 4 institutions in 3 countries.

Anirudh KohliDepartment of Radiodiagnosis, Breach Candy Hospital, Mumbai, India.
Anagha JoshiDepartment of Radiodiagnosis, LTMMC Sion Hospital, Mumbai, India.
Ankur ShahSadbhav Diagnostics, Ahmedabad, India.
Richa D JainDepartment of Radiodiagnosis, Aster CMI Hospital, Bengaluru, India.
Abhishek GorlawarRavi Imaging and Jupiter Hospital, Mumbai, India.
Amol DhapareNivaran and Pulse Scan Centre, Mumbai, India.
Jigar DesaiNM Medical Centre, Mumbai, India.
Aditya ShettyDepartment of Radiodiagnosis, Breach Candy Hospital, Mumbai, India.
Chirag ShahAdvance RadioImaging Centre, Ahmedabad, India.
Prachi OstwalPinnacle Imaging Centre, Mumbai, India.
Anisha TalrajaDepartment of Radiodiagnosis, LTMMC Sion Hospital, Mumbai, India.
Breach Candy Hospital · INLokmanya Tilak Municipal General Hospital and Lokmanya Tilak Municipal Medical College · INASTER · CAJupiter Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly detection is the key to contain the ongoing pandemic. The current gold standard to detect SARS CoV2 is RT-PCR. However, it has a high false negative rate and long turnaround time. PURPOSE: In view of the high sensitivity of CT in detection of lower respiratory tract pathologies, a study of 2581 patients comparing RT-PCR status with CT findings was undertaken to see if it augments the diagnostic performance. MATERIALS AND

methodsA multi centre prospective study of consecutive cases was conducted. All CT studies suggestive of COVID 19 pneumonia were collated and evaluated independently by three Radiologists to confirm the imaging diagnosis of COVID-19 pneumonia. The RT-PCR values were retrospectively obtained, based on the RT-PCR values, CT studies were categorised into three subgroups, positive, negative and unknown. CT features from all three groups were compared to evaluate any communality or discordance.

resultsOut of the 2581 patients with positive CT findings for COVID pneumonia, 825 were females and 1,756 were males in a wide age group of 28-90 years. Predominant CT features observed in all the subgroups were Ground glass densities 94.8%, in mixed distribution (peripheral and central) (59.12%), posterior segments in 92% and multilobar involvement in 70.9%. The CT features across the three subgroups were statistically significant with a

conclusionThere was a communality of CT findings regardless of RT-PCR status. In a pandemic setting ground glass densities in a subpleural, posterior and basal distribution are indicative of COVID 19. Thus CT chest in conjunction to RT PCR augments the diagnosis of COVID 19 pneumonia; utilization of CT chest may just be the missing link in closing this pandemic.

Indexed as

Coronavirus disease-2019ground glass opacityreverse transcriptase polymerase chain reactionsevere acute respiratory syndrome

Identifiers

PMID33814765
PMCPMC7996706
OpenAlexW3124755673

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Registered trials

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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.