Evidence map›Paper›PMID 42312714›Full record

ArticleJournal of medical virology2026

SARS-CoV-2 Evolution and Its Implications for RT-PCR Diagnostic Performance.

Shubhangi Gupta, Abhishek Chaudhary, Sonika Bhatnagar

Abstract read
In one paragraph

Article in Journal of medical virology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Shubhangi GuptaDepartment of Biological Sciences and Engineering, Computational and Structural Biology Laboratory, Netaji Subhas University of Technology, Dwarka, New Delhi, India.ORCID https://orcid.org/0000-0001-6349-806X
Abhishek ChaudharyDepartment of Biological Sciences and Engineering, Computational and Structural Biology Laboratory, Netaji Subhas University of Technology, Dwarka, New Delhi, India.ORCID https://orcid.org/0009-0008-6179-8032
Sonika BhatnagarDepartment of Biological Sciences and Engineering, Computational and Structural Biology Laboratory, Netaji Subhas University of Technology, Dwarka, New Delhi, India.ORCID https://orcid.org/0000-0002-8818-4240

Funding

Indian Council of Medical Research (ICMR)
6 · The paper itself

Abstract

Mutations in SARS-CoV-2 primer/probe targets can compromise RT-PCR sensitivity, leading to false negatives and undetected viral transmission. This study evaluated mutational landscapes of 20 primer/probe sets targeting E, N, Orf1b-nsp14, RdRp, and S genes using 1,35,852 high-quality genomes across ten countries, five major variants, and three time periods (pre-vaccination, post-vaccination, and recent). Mutations were classified as high-risk or moderate-risk based on their positional susceptibility and mismatch burden. Mutation rate, impact risk, and population frequency within primer/probe targets was calculated along with their geographical-, variant-, and time-dependent variations. Most E, N, RdRp, and S primer/probe targets showed higher and geographically variable mutation rates that increased with time. Variant-wise analysis revealed that mutational accumulation in targets was significantly lower in early variants, that increased sharply with Delta and was most pronounced in Omicron (with its sub-variants). High-risk high-frequency mutations were identified in targets of N-CCDC-forward primer, N-NIH-reverse primer, RdRp-Charité-forward primer, S-Young-forward primer, and S-Sigma (S1/S2)-probes. Moderate-risk high-frequency mutations were observed in E-Charité-forward primer, N-UCDC (N1)-probe, and S-Chan-probe. Mutation frequencies differed across countries due to circulating variants and also across time periods, with some mutations approaching fixation (≥ 95%) in the population. Orf1b-nsp14 and selected N-gene targets like N-Chan, N-NIID, N-UCDC (N2) sets remained mutation-resilient, indicating their diagnostic reliability. A global and regional surveillance-driven, threshold-based strategy which involves periodic mutation monitoring every 6-12 months, consideration of primer/probe redesign when target mutations reach ≥ 10% frequency, and incorporating mutation-resilient targets into multiplex assays is recommended to enhance SARS CoV-2 RT-PCR diagnostic accuracy.

Indexed as

COVID-19COVID-19 Nucleic Acid TestingEvolution, MolecularReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Coronavirus Nucleocapsid ProteinsDNA PrimersGenome, ViralHumansMutationMutation RateRNA, ViralSensitivity and SpecificitySpike Glycoprotein, CoronavirusCoronavirus Nucleocapsid ProteinsDNA PrimersRNA, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2diagnostic impactmutation ratesprimer/probe targetsRT‐PCRSARS CoV‐2

Identifiers

PMID42312714
PMCPMC13277296

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.