Evidence map›Paper›PMID 34007795›Full record

ArticleJournal of clinical and translational hepatology2021

Detection of Hepatitis B Virus M204V Mutation Quantitatively via Real-time PCR.

Jingjing Liang, Xinmiao Liang, Hong Ma, Leng Nie, Ying Tian, Guang Chen, Yu Wang

Abstract read
In one paragraph

Article in Journal of clinical and translational hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Hepatitis B virus-induced hepatocellular carcinoma: a persistent global problem.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Review
  2. Review
  3. 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.

Jingjing LiangLiver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing, China.ORCID https://orcid.org/0000-0003-2018-361X
Xinmiao LiangSuzhou Primreg Gene Company, Suzhou, China.
Hong MaLiver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing, China.
Leng NieDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Ying TianDepartment of Interventional Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Guang ChenTechnical center of Beijing Customs District, Beijing, China.
Yu WangLiver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDrug-resistant DNA mutations of the hepatitis B virus (HBV) affect treatment response in chronic hepatitis B patients. We have established a new, sensitive, specific, accurate and convenient real-time PCR method to detect HBV mutations quantitatively.

methodsBlood samples were collected from patients showing viral breakthrough, primary nonresponse, or poor response during treatment, and mutations were detected via direct sequencing to assess our method. A plasmid containing the M204V mutation was synthesized and standard curves plotted.

resultsThe determination coefficient for linear correlation between Ct and log plasmid copy numbers was 0.996, where Ct value was -3.723log (DNA concentration) +48.647. Coefficients of variation indicated good reproducibility. Correctness was within tolerable bias. Limit of detection was 10

conclusionsThese results show that our method can be used to detect HBV M204V mutations with the advantages of sensitivity, specificity and efficiency, providing a new choice for monitoring drug resistance.

Indexed as

DNA sequencingDrug-resistance mutationHBV DNAReal-time PCR

Identifiers

PMID34007795
PMCPMC8111100

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