Evidence map›Paper›PMID 31597908›Full record

ArticleMedical science monitor basic research2019

Experiences of Screening for Human Immunodeficiency Virus, Viral Hepatitis B, and Viral Hepatitis C Infections at a Hospital in Thailand: Test Utilization and Outcomes.

Veeravan Lekskulchai

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor basic research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 84% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Veeravan LekskulchaiDepartment of Pathology, Faculty of Medicine, Srinakharinwirot University, Bangkok, Thailand.
Srinakharinwirot University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND To prevent the transmission of HIV and hepatitis B and C viruses, early detection is necessary; however, in the early stage, most infected people are symptomless. Screening for these infections should be targeted to certain clinical settings to increase the early detection rate. MATERIAL AND METHODS This retrospective study was conducted by analyzing data from patients' medical records to determine how the screening tests for these viral infections were utilized and what the clinical outcomes from the test utilization were. RESULTS From 11 676 collected records, the screening tests for HIV, HBV, and HCV infections were utilized in 871, 556, and 236 cases, respectively. The tests for HIV and HCV were utilized the most in people with chronic non-infectious diseases, while the test for HBV infection was utilized the most in pregnant women. The positive results of these tests were highly found in the group of patients with acute non-infectious diseases. HIV infection was newly detected in 1.38% of patients, and HBV and HCV infections were newly detected in 5.58% and 2.12%, respectively. CONCLUSIONS Screening for HIV and HBV infections was performed according to the guidelines of the national HIV and HBV programs. The Outpatient Department (OPD) and medical ward may be the most appropriate clinical settings for HIV screening because most patients are there and blood tests are often ordered there, too. The national programs helped slow the rates of HIV and HBV infections in this community.

Indexed as

AdolescentAdultAgedAged, 80 and overDiagnostic Screening ProgramsFemaleHepacivirusHepatitis BHepatitis B virusHepatitis CHIVHIV InfectionsHumansMaleMedical RecordsMiddle Aged

Identifiers

PMID31597908
PMCPMC6802465
OpenAlexW2979725992

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.