Evidence map›Paper›PMID 33200414›Full record

ArticleJournal of medical virology2021

Guidelines on newly identified limitations of diagnostic tools for COVID-19 and consequences.

Kirtimaan Syal

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.9field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  5. An Unusual Presentation of Superior Mesenteric Venous Occlusion in Mild COVID-19.Indian journal of clinical biochemistry : IJCB · 2023
    Article
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  10. Possibility of Relapse of COVID19 in Asymptomatic Cases and Risk Assessment.Indian journal of clinical biochemistry : IJCB · 2022
    Article
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  12. Review
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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

1 author at 1 institution in 1 country.

Kirtimaan SyalDepartment of Biological Sciences, BITS-Pilani, Telangana, India.ORCID 0000-0002-0046-0205
Birla Institute of Technology and Science - Hyderabad Campus · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) caused by coronavirus has spread worldwide and has become the deadliest pandemic of the 21st century. Such rapid spread is predominantly attributed to the poor diagnosis and its asymptomatic transmission. In the absence of treatment regime, timely diagnosis is the best available remedy that can restrict its spread. An early diagnosis of COVID-19 is critical for determining the line of treatment and preventing long term complications in the infected subject. Unfortunately, available rapid antigen and antibody kits are known to be erroneous whereas reverse transcription polymerase chain reaction based tests are expensive, viral load dependent and at times inconclusive. In current scenario, the false-negative results imposed a major risk to the individual patient care and also to the efforts for containing the spread at the population level, where as false positives are traumatic for families and can lead to improper treatment resulting in severe complications. In this article, the limitations of available diagnostic procedures have been elaborated and plausible combination approach has been advised.

Indexed as

COVID-19 Nucleic Acid TestingCOVID-19 Serological TestingCOVID-19 TestingAntibodies, ViralAntigens, ViralCOVID-19False Negative ReactionsFalse Positive ReactionsHumansSARS-CoV-2Sensitivity and SpecificitySpecimen HandlingAntibodies, ViralAntigens, Viralbiochemical analysiscoronavirusresearch and analysis methodsvirus classification

Identifiers

PMID33200414
PMCPMC7753543
OpenAlexW3101180623

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.