Evidence map›Paper›PMID 36759762›Full record

ArticleBMC infectious diseases2023

A comparison of SARS-CoV-2 rapid antigen testing with realtime RT-PCR among symptomatic and asymptomatic individuals.

Jyotsnamayee Sabat, Subhra Subhadra, Sonalika Rath, Lal Mohan Ho, Tanushree Satpathy, Dipankar Pattnaik, Sanghamitra Pati, Jyotirmayee Turuk

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
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, 1 synthesis or guideline pooled it, 11 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

8 authors at 3 institutions in 1 country.

Jyotsnamayee SabatVirus Research and Diagnostic Laboratory (VRDL), ICMR-Regional Medical Research Centre, Chandrasekharpur, Bhubaneswar, Odisha, 751023, India.ORCID http://orcid.org/0000-0003-4441-6625
Subhra SubhadraVirus Research and Diagnostic Laboratory (VRDL), ICMR-Regional Medical Research Centre, Chandrasekharpur, Bhubaneswar, Odisha, 751023, India.
Sonalika RathVirus Research and Diagnostic Laboratory (VRDL), ICMR-Regional Medical Research Centre, Chandrasekharpur, Bhubaneswar, Odisha, 751023, India.
Lal Mohan HoVirus Research and Diagnostic Laboratory (VRDL), ICMR-Regional Medical Research Centre, Chandrasekharpur, Bhubaneswar, Odisha, 751023, India.
Tanushree SatpathyEast Coast Railway Hospital, Bhubaneswar, Odisha, India.
Dipankar PattnaikDepartment of Microbiology, VIMSAR, Burla, Sambalpur, Odisha, India.
Sanghamitra PatiVirus Research and Diagnostic Laboratory (VRDL), ICMR-Regional Medical Research Centre, Chandrasekharpur, Bhubaneswar, Odisha, 751023, India.
Jyotirmayee TurukVirus Research and Diagnostic Laboratory (VRDL), ICMR-Regional Medical Research Centre, Chandrasekharpur, Bhubaneswar, Odisha, 751023, India. drjyotirmayeeturuk@gmail.com.ORCID http://orcid.org/0000-0002-8821-6097
Regional Medical Research Centre · INSouth Eastern Railway · INVeer Surendra Sai Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of SARS-CoV-2 positive patients with rapid and cost-effective test methods is the key for isolating infected individuals, interrupting the transmission chain, and thus, containment of the CoVID-19 disease. In this regard, Rapid Antigen Test (RAT) plays an important role at point of care testing but the low sensitivity attributing towards escape of positive cases is reported as a major disadvantage of RAT which led us to evaluate a RAT kit among symptomatic and asymptomatic individuals suspected of CoVID-19.

methodsWe analyzed 329 parallel nasopharyngeal swabs for RAT (Zydus Cadila, India) at the point of collection in a hospital-based facility and RealTime RT-PCR in the laboratory. The performance parameters were analyzed by evaluating the specificity, sensitivity, Negative Predictive Value (NPV), Positive Predictive Value (PPV), and Kappa coefficient.

resultsThe sensitivity and specificity were found to be 75.17% and 98.89% respectively. Positive Predictive value was 98.25% and the negative predictive value was 82.79%. The accuracy between the two techniques was found to be 88.14% with a kappa coefficient of 0.756 (SE: 0.036 and CI at 95%: 0.686 to 0.826) with a good strength of agreement (0.61-0.80) between the two testing techniques. Among the false-negative cases, 22 (59.5%) were asymptomatic having the Cycle Threshold (Ct) range 27 to 32.9 including 12 cases with a history of close contact with the known positive cases (i.e. household contact). The remaining 15 cases (40.5%) were symptomatic having low to moderate Ct values.

conclusionIt is observed from the results that the false negative result for symptomatic individuals is a matter of concern as it was noted in 4 cases of our study subjects who required hospitalisation later. Also the positives among asymptomatic contacts are important from epidemiological point of view for isolation and curtailing the infection from spreading in a community. These results support the fact that RAT showing sensitivity below 80% can be used for mass screening purposes with provision for additional testing in case of false negative with symptomatic individuals. Also false-negative results should be interpreted cautiously considering the epidemiological link as well as the clinical condition of the patients.

Indexed as

COVID-19COVID-19 Serological TestingCOVID-19 TestingHumansReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Sensitivity and SpecificityRATRT-PCRSARS-CoV-2SensitivitySpecificitySymptomatic

Identifiers

PMID36759762
PMCPMC9909630
OpenAlexW4319752858

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.