ArticleAIDS research and human retroviruses2019
Amino Acid Prevalence of HIV-1
Article in AIDS research and human retroviruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The presence of many highly unusual HIV-1 mutations at a minority variant threshold by next-generation sequence (NGS) may indicate that a high proportion of variants at or just above the threshold represent PCR errors. The validity of this hypothesis depends on the concept that highly unusual mutations detected by population-based sequencing are also highly unusual within a person's virus population. Highly unusual mutations were defined as mutations with a prevalence <0.01% in group M HIV-1 direct PCR population-based Sanger sequences in the Stanford HIV Drug Resistance Database. Single genome Sanger sequences [single genome sequences (SGSs)] were analyzed because they are not subject to PCR error. Permutation analyses compared the proportion of highly unusual mutations in SGSs with the empirical frequencies of these mutations in repeated random selections of population-based sequences. We created a database of 11,258
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Registered trials
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.