Evidence map›Paper›PMID 24920768›Full record

ArticleJournal of clinical microbiology2014

Assessment of ambiguous base calls in HIV-1 pol population sequences as a biomarker for identification of recent infections in HIV-1 incidence studies.

Karolin Meixenberger, Andrea Hauser, Klaus Jansen, Kaveh Pouran Yousef, Stefan Fiedler, Max von Kleist, Stephen Norley, Sybille Somogyi, Osamah Hamouda, Norbert Bannert and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

12 authors.

Karolin MeixenbergerHIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany meixenbergerk@rki.de.
Andrea HauserHIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany.
Klaus JansenHIV/AIDS, STI, and Blood-Borne Infections, Robert Koch Institute, Berlin, Germany.
Kaveh Pouran YousefDepartment of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
Stefan FiedlerHIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany.
Max von KleistDepartment of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
Stephen NorleyHIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany.
Sybille SomogyiHIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany.
Osamah HamoudaHIV/AIDS, STI, and Blood-Borne Infections, Robert Koch Institute, Berlin, Germany.
Norbert BannertHIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany.
Barbara BartmeyerHIV/AIDS, STI, and Blood-Borne Infections, Robert Koch Institute, Berlin, Germany.
Claudia KüchererHIV and Other Retroviruses, Robert Koch Institute, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increase in the proportion of ambiguous base calls in HIV-1 pol population sequences during the course of infection has been demonstrated in different study populations, and sequence ambiguity thresholds to classify infections as recent or nonrecent have been suggested. The aim of our study was to evaluate sequence ambiguities as a candidate biomarker for use in an HIV-1 incidence assay using samples from antiretroviral treatment-naive seroconverters with known durations of infection (German HIV-1 Seroconverter Study). We used 2,203 HIV-1 pol population sequences derived from 1,334 seroconverters to assess the sequence ambiguity method (SAM). We then compared the serological incidence BED capture enzyme immunoassay (BED-CEIA) with the SAM for a subset of 723 samples from 495 seroconverters and evaluated a multianalyte algorithm that includes BED-CEIA results, SAM results, viral loads, and CD4 cell counts for 453 samples from 325 seroconverters. We observed a significant increase in the proportion of sequence ambiguities with the duration of infection. A sequence ambiguity threshold of 0.5% best identified recent infections with 76.7% accuracy. The mean duration of recency was determined to be 208 (95% confidence interval, 196 to 221) days. In the subset analysis, BED-CEIA achieved a significantly higher accuracy than the SAM (84.6 versus 75.5%, P < 0.001) and results were concordant for 64.2% (464/723) of the samples. Also, the multianalyte algorithm did not show better accuracy than the BED-CEIA (83.4 versus 84.3%, P = 0.786). In conclusion, the SAM and the multianalyte algorithm including SAM were inferior to the BED-CEIA, and the proportion of sequence ambiguities is therefore not a preferable biomarker for HIV-1 incidence testing.

Indexed as

Genetic MarkersGenetic VariationAdultCD4 Lymphocyte CountCohort StudiesFemaleGenotypeHIV-1HIV InfectionsHumansMalepol Gene Products, Human Immunodeficiency VirusProspective StudiesViral LoadGenetic Markerspol Gene Products, Human Immunodeficiency Virus

Identifiers

PMID24920768
PMCPMC4136167

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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.