Evidence map›Paper›PMID 27464785›Full record

ArticleBMC health services research2016

Hepatitis C virus infection among patients with diabetes mellitus in Dammam, Saudi Arabia.

Ebtesam M Ba-Essa, Eman I Mobarak, Nasser M Al-Daghri

Abstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

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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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

Ebtesam M Ba-EssaDammam Medical Complex, Dammam, Saudi Arabia.
Eman I MobarakCommunity Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Nasser M Al-DaghriPrince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia. aldaghri2011@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData regarding comorbidities of hepatitis C virus infection (HCV) in the kingdom of Saudi Arabia (KSA) are lacking. The present study aimed to determine the prevalence and risk factors of HCV among Saudi patients with diabetes mellitus (DM) in Dammam, KSA.

methodsIn this cross-sectional study done in 2011, a total of 1054 Saudi DM patients were randomly selected from the Diabetes Center in Dammam Medical Complex, KSA, for interview and HCV screening using the HCV Rapid Test. Positive cases were later confirmed via INNO-LIA HCV score line immune assay.

resultsSeropositivity of HCV was 1.9 %. DM duration of >5 years increased the probability of HCV risk to 3.7 fold while insulin users were 3.2 times more likely to have HCV infection. Increased hospital admission (3-4 times) also increased HCV risk by 11.5 times and 13.6 times among patients with ≥5 admissions. Similarly, having 3-4 surgical procedures increased HCV risk by 8.6 times and 39.3 times with ≥5 procedures. HCV transmission is 4 times more likely by blood transfusion. Those who shared personal items were 8.5 times more likely to have HCV. Tattooing increased HCV risk by 6.7 times. The likelihood of HCV infection was also higher among DM patients with liver diseases and elevated liver enzymes.

conclusionThe study confirmed a significant association between HCV risk and DM. Frequency of HCV among DM Saudis was 1.9 %. Predictors of HCV among DM patients were sharing personal items, occupational exposure to blood or its products, elevated transaminases, tattooing, disease duration > 5 years, increased hospital admission and blood transfusion.

Indexed as

AdolescentAdultAgedAged, 80 and overBlood TransfusionChildComorbidityCross-Sectional StudiesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHepatitis C, ChronicHumansMaleMiddle AgedPrevalenceDammamDiabetesHepatitis CInsulin resistanceRisk factors

Identifiers

PMID27464785
PMCPMC4963943

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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.