Evidence map›Paper›PMID 22826757›Full record

ArticleInternational journal of preventive medicine2012

Seroprevalence of Hepatitis C Infection among Laboratory Health Care Workers in Isfahan, Iran.

Parisa Shoaei, Noushin Lotfi, Razieh Hassannejad, Majid Yaran, Behrooz Ataei, Nazila Kassaian, Maryam Foroughifar, Peiman Adibi

Open access · greenAbstract read
In one paragraph

Article in International journal of preventive medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Epidemiology of hepatitis C virus in Iran.World journal of gastroenterology · 2015
    Review
  4. 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

8 authors at 1 institution in 1 country.

Parisa ShoaeiInfectious Diseases and Tropical Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Noushin Lotfi
Razieh Hassannejad
Majid Yaran
Behrooz Ataei
Nazila Kassaian
Maryam Foroughifar
Peiman Adibi
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesClinical laboratory health care workers can become infected through their occupation with blood-borne pathogens by percutanous injuries and mucocutaneous blood contacts such as cuts, needle sticks, splashes to mucous membranes or other body injuries. The purpose of this study was to determine the seroprevalence of, Hepatitis C virus (HCV), and some of the risk factors in medical laboratory health care workers.

methodsThrough a descriptive cross sectional study, 203 participants employed in the clinical laboratories of the city of Isfahan, composed of medical laboratory technologists, technicians and cleaning staff were studied. Participant data were obtained through a self-reporting questionnaire and the level of anti-HCV antibody was measured by enzyme linked immunosorbent assay (ELISA). Chi-square test was used to determine risk factors associated with infection.

resultsThe mean age of the individuals (n = 203) was 35.8 ± 9.54 years. There were 115 women (56.7%) and 88 men (43.3%). All of the subjects were negative for HCV Ab.

conclusionsHepatitis C infection is infrequent in laboratory health care workers in Isfahan province.

Indexed as

Anti HCV antibodyhealth care workersoccupational exposure

Identifiers

PMID22826757
PMCPMC3399309
OpenAlexW1568284125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.