Evidence map›Paper›PMID 12854152›Full record

ArticleWorld journal of gastroenterology2003

Detection of anti-HAV antibody with dot immunogold filtration assay.

Zhong-Jun Shao, De-Zhong Xu, Yong-Ping Yan, Jing-Hua Li, Jing-Xia Zhang, Zhi-Ying Zhang, Bo-Rong Pan

Open access · hybridAbstract readComparative Study
In one paragraph

Article in World journal of gastroenterology, 2003. 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
0.3field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Rapid Salivary IgG Antibody Screening for Hepatitis A.Journal of clinical microbiology · 2020
    Article
  2. Article
  3. Review
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.

Zhong-Jun ShaoDepartment of Epidemiology, Fourth Military Medical University, Xi'an 710032, Shaanxi Province, China.
De-Zhong Xu
Yong-Ping Yan
Jing-Hua Li
Jing-Xia Zhang
Zhi-Ying Zhang
Bo-Rong Pan
National Natural Science Foundation of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo establish a rapid, sensitive and specific immunogold assay for detection of hepatitis A virus infection.

methodsRabbit monoclonal antibodies to anti-human IgM and IgG (Dako) were dotted on a nitrocellulose membrane (NCM) respectively to capture the human sera IgM and IgG. Then the captured antibodies would conjugate to HAV antigen, which was revealed by mouse anti-HAV IgG conjugated to gold particles. Final results were assessed by blind method.

resultsSera from 96 patients with acute hepatitis were used for our study. Compared with well-recognized standard (Abbott Laboratory, USA), the sensitivity and specificity of IgM-DIGFA (self-made) were 91.3 % (42/46) and 96.0 % (48/50), and those of IgM-ELISA (Kehua, Shanghai) were 97.8 % (45/46) and 100.0 % (50/50). The identical results were produced from the study with reagents at different conditions, and the study was repeated in 15 negative sera and 10 positive sera. The serum anti-HAV IgG was tested with DIGFA at the same time. In comparison with ELISA, the sensitivity and specificity of DIGFA for IgG anti-HAV were 87.2 % (41/47) and 91.8 % (45/49), respectively.

conclusionThis assay can detect anti-HAV IgM and IgG simultaneously, and be done within 3 minutes. The simplicity, rapidity and specificity of the assay were useful for screening and epidemiological study.

Indexed as

Enzyme-Linked Immunosorbent AssayHepatitis AHepatitis A AntibodiesHumansImmunoblottingImmunoglobulin GImmunoglobulin MImmunohistochemistrySensitivity and SpecificityHepatitis A AntibodiesImmunoglobulin GImmunoglobulin M

Identifiers

PMID12854152
PMCPMC4615493
OpenAlexW2396621900

What OpenQuestion holds

Textmetadata
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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.