Evidence map›Paper›PMID 21543559›Full record

ArticleJournal of clinical microbiology2011

Ultrasensitive detection of drug-resistant pandemic 2009 (H1N1) influenza A virus by rare-variant-sensitive high-resolution melting-curve analysis.

Neng Chen, Benjamin A Pinsky, Betty P Lee, Min Lin, Iris Schrijver

Abstract readValidation Study
In one paragraph

Article in Journal of clinical microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Biographical Feature: Benjamin A. Pinsky, MD, PhD.Journal of clinical microbiology · 2026
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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

5 authors at 3 institutions in 1 country.

Neng ChenDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Benjamin A Pinsky
Betty P Lee
Min Lin
Iris Schrijver
Stanford University · USFluidigm (United States) · USLucile Packard Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oseltamivir (Tamiflu), an oral neuraminidase inhibitor, has been widely used to treat pandemic 2009 (H1N1) influenza A. Although a majority of 2009 (H1N1) influenza A virus remains oseltamivir susceptible, the threat of resistance due to the His275Tyr mutation is highlighted by the limitations of alternative therapies and the potential for rapid, global fixation of this mutation in the circulating influenza A virus population. In order to better understand the emergence of resistance, we developed a rare-variant-sensitive high-resolution melting-curve analysis method (RVS-HRM) that is able to detect the His275Tyr oseltamivir resistance mutation to 0.5% in a background of susceptible virus. We applied RVS-HRM to clinical specimens from patients who developed oseltamivir resistance and demonstrated the ultrasensitive detection of influenza A virus N1 neuraminidase quasispecies. Interestingly, we were unable to detect the oseltamivir resistance mutation in pretreatment samples, suggesting that resistant virus does not reach even this very low detection threshold until exposed to selective drug pressure. Thus, patients naive to oseltamivir are most likely to be susceptible when this drug is used as a first-line treatment modality.

Indexed as

Drug Resistance, ViralMutation, MissenseTransition TemperatureAntiviral AgentsHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMicrobial Sensitivity TestsOseltamivirRNA, ViralSensitivity and SpecificityAntiviral AgentsOseltamivirRNA, Viral

Identifiers

PMID21543559
PMCPMC3147852
OpenAlexW2167740716

What OpenQuestion holds

Textmetadata
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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.