Evidence map›Paper›PMID 34926579›Full record

ArticleFrontiers in molecular biosciences2021

Simple and Feasible Detection of Hepatitis B Virus

Mao-Ling Sun, Hai-Yun Lai, Na-Yu Chong, Dong-Fan Liu, Zhen-Yi Zhang, Bo Pang, Jun Yao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

16 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  3. Detection ofMicroorganisms · 2025
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  12. Review
  13. Review
  14. Article
  15. Rapid detection ofFrontiers in microbiology · 2022
    Article
  16. 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 at 1 institution in 1 country.

Mao-Ling SunSchool of Forensic Medicine, China Medical University, Shenyang, China.
Hai-Yun LaiSchool of Forensic Medicine, China Medical University, Shenyang, China.
Na-Yu ChongSchool of Forensic Medicine, China Medical University, Shenyang, China.
Dong-Fan LiuSchool of Forensic Medicine, China Medical University, Shenyang, China.
Zhen-Yi ZhangSchool of Forensic Medicine, China Medical University, Shenyang, China.
Bo PangSchool of Forensic Medicine, China Medical University, Shenyang, China.
Jun YaoSchool of Forensic Medicine, China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus infection is not only a huge burden in the field of social health but also a major public health problem that affects the lives and health of the people. Simple, rapid, feasible detection of HBV is critical for its prevention and spread, especially in the developing countries with low-resource laboratories. To this end, we combined multienzyme isothermal rapid amplification (MIRA) and lateral flow dipstick (LFD) strip to detect HBV. A pair of primers targeting the conserved region of HBV genome was designed and used in MIRA-LFD assay. Our results found that the entire amplification of MIRA-LFD only takes 10 min at 37°C and the dilution of the amplification products was added in the LFD strip and observed by the naked eye after 10 min. The detection sensitivity of this method can reach 10 pg. The 45 clinical samples were detected by MIRA-LFD and real-time PCR. The accuracy rate of MIRA-LFD was 100%. Therefore, these characteristics of our newly developed MIRA-LFD assay make it particularly useful and suitable for detecting HBV in the resource-limited condition.

Indexed as

detectionhepatitis B viruslateral flow stripmultienzyme isothermal rapid amplificationnucleic acid

Identifiers

PMID34926579
PMCPMC8674754
OpenAlexW4200469807

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.