Evidence map›Paper›PMID 19949656›Full record

ArticleJournal of Korean medical science2009

Antiretroviral genotypic resistance mutations in HIV-1 infected Korean patients with virologic failure.

Bum Sik Chin, Ju-Yeon Choi, Jin Young Choi, Gab Jung Kim, Mee-Kyung Kee, June Myung Kim, Sung Soon Kim

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Bum Sik ChinDivision of AIDS, Center for Immunology and Pathology, Korea National Institute of Health, Seoul, Korea.
Ju-Yeon Choi
Jin Young Choi
Gab Jung Kim
Mee-Kyung Kee
June Myung Kim
Sung Soon Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance assays are useful in guiding decisions for patients experiencing virologic failure (VF) during highly-active antiretroviral therapy (HAART). We investigated antiretroviral resistance mutations in 41 Korean human immunodeficiency virus type 1 (HIV-1) infected patients with VF and observed immunologic/virologic response 6 months after HAART regimen change. Mean HAART duration prior to resistance assay was 45.3+/-27.5 months and commonly prescribed HAART regimens were zidovudine/lamivudine/nelfinavir (22.0%) and zidovudine/lamivudine/efavirenz (19.5%). Forty patients (97.6%) revealed intermediate to high-level resistance to equal or more than 2 antiretroviral drugs among prescribed HAART regimen. M184V/I mutation was observed in 36 patients (87.7%) followed by T215Y/F (41.5%) and M46I/L (34%). Six months after resistance assay and HAART regimen change, median CD4+ T cell count increased from 168 cells/microL (interquartile range [IQR], 62-253) to 276 cells/microL (IQR, 153-381) and log viral load decreased from 4.65 copies/mL (IQR, 4.18-5.00) to 1.91 copies/mL (IQR, 1.10-3.60) (P<0.001 for both values). The number of patients who accomplished viral load <400 copies/mL was 26 (63.4%) at 6 months follow-up. In conclusion, many Korean HIV-1 infected patients with VF are harboring strains with multiple resistance mutations and immunologic/virologic parameters are improved significantly after genotypic resistance assay and HAART regimen change.

Indexed as

Antiretroviral Therapy, Highly ActiveMutationAdultAgedBiological AssayDrug Resistance, ViralFemaleHIV-1HIV InfectionsHumansMaleMiddle AgedTreatment OutcomeViral LoadYoung AdultDrug ResistanceGenotypeHIV-1Treatment Failure

Identifiers

PMID19949656
PMCPMC2775848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.