Evidence map›Paper›PMID 27707942›Full record

Observational studyJournal of clinical microbiology2016

Screening for Human Immunodeficiency Virus, Hepatitis B Virus, Hepatitis C Virus, and Treponema pallidum by Blood Testing Using a Bio-Flash Technology-Based Algorithm before Gastrointestinal Endoscopy.

Zhou Jun, Chen Zhen, Zhang QuiuLi, An YuanQi, Verónica Vocero Casado, Yuan Fan

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Zhou JunDepartment of Blood Transfusion, Beijing Military General Hospital of PLA, Beijing, China zhoujunlz@163.com.
Chen ZhenDepartment of Blood Transfusion, Beijing Military General Hospital of PLA, Beijing, China.
Zhang QuiuLiDepartment of Blood Transfusion, Beijing Military General Hospital of PLA, Beijing, China.
An YuanQiDepartment of Blood Transfusion, Beijing Military General Hospital of PLA, Beijing, China.
Verónica Vocero CasadoMarketing Department, Biokit, Lliçà d'Amunt, Barcelona, Spain.
Yuan FanDepartment of Blood Transfusion, Beijing Military General Hospital of PLA, Beijing, China.
The Military General Hospital of Beijing PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, conventional enzyme immunoassays which use manual gold immunoassays and colloidal tests (GICTs) are used as screening tools to detect Treponema pallidum (syphilis), hepatitis B virus (HBV), hepatitis C virus (HCV), human immunodeficiency virus type 1 (HIV-1), and HIV-2 in patients undergoing surgery. The present observational, cross-sectional study compared the sensitivity, specificity, and work flow characteristics of the conventional algorithm with manual GICTs with those of a newly proposed algorithm that uses the automated Bio-Flash technology as a screening tool in patients undergoing gastrointestinal (GI) endoscopy. A total of 956 patients were examined for the presence of serological markers of infection with HIV-1/2, HCV, HBV, and T. pallidum The proposed algorithm with the Bio-Flash technology was superior for the detection of all markers (100.0% sensitivity and specificity for detection of anti-HIV and anti-HCV antibodies, HBV surface antigen [HBsAg], and T. pallidum) compared with the conventional algorithm based on the manual method (80.0% sensitivity and 98.6% specificity for the detection of anti-HIV, 75.0% sensitivity for the detection of anti-HCV, 94.7% sensitivity for the detection of HBsAg, and 100% specificity for the detection of anti-HCV and HBsAg) in these patients. The automated Bio-Flash technology-based screening algorithm also reduced the operation time by 85.0% (205 min) per day, saving up to 24 h/week. In conclusion, the use of the newly proposed screening algorithm based on the automated Bio-Flash technology can provide an advantage over the use of conventional algorithms based on manual methods for screening for HIV, HBV, HCV, and syphilis before GI endoscopy.

Indexed as

AlgorithmsAdolescentAdultAgedAged, 80 and overAutomation, LaboratoryCross-Sectional StudiesEndoscopy, GastrointestinalFemaleHepacivirusHepatitis BHepatitis B virusHepatitis CHIV-1HIV-2HIV Infections

Identifiers

PMID27707942
PMCPMC5121391
OpenAlexW2551588536

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.