ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2016
[Drug-resistant mutations in hepatitis B virus found in chronic HBV carriers using PCR sequencing technology].
Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 2 citations in OpenAlex.
- [Monitoring by high-sensitivity HBV DNA assay during treatment in chronic hepatitis B e antigen negative patients].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2018Trial
- Evaluation of drug resistance mutations in patients with chronic hepatitis B.Folia microbiologica · 2019Article
- [HBV genotyping based on key epitopes of PreS1 antigen and its correlation with genotyping by full-length PreS1 sequencing].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate drug-resistant mutations in and genotypes of hepatitis B virus (HBV) in chronic HBV carriers using PCR sequencing technology.
methodsChronic HBV carriers were recruited from Tianjin Second People's Hospital between June 2013 and May 2014 and 317 were enrolled in the study according to receipt of nucleos(t)ide analogues (NAs) for at least three months prior. Drug-resistant mutations were detected by PCR followed by sequencing. SPSS21.0 was used for statistical analysis.
resultsDrug-resistant mutations were detected in 119 of the 317 patients, including 20 of 46 patients who received lamivudine (LAM), 16 of 34 patients who received adefovir (ADV), 13 of 80 patients who received entecavir (ETV), 5 of 23 patients who received telbivudine (LdT), and 65 of 124 patients who received various sequential/combined NA therapies. Each of the NAs had dominant drug-resistant mutational profiles, with rtM204I+rtL180M±rtL80I (30.9%) for LAM, rtA181T/N (21.3%), rtS213T/N (21.3%) and rtV214A (21.3%) for ADV, rtl180M (48%) for ETV, rtM204I for LdT, and rtA194T for tenofovir disoproxil fumarate (TDF). A total of 308 HBV genotypes were detected, including type B in 27 cases (8.8%), type C in 279 cases (90.6%), and type D in 2 cases (0.6%). The different HBV genotypes had no statistically significant difference in drug-resistance mutations, though (χ(2) = 1.11, P > 0.05). Two TDF drug-resistant mutations rtA194T were detected.
conclusionThe results provide new information on NA drug-resistant mutations and HBV genotype profiles in chronic HBV carriers and may have important clinical implication for HBV drug resistance management. In addition, the data confirmed the preexisting TDF mutation rtA194T.
Indexed as
Identifiers
What OpenQuestion holds
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.