Evidence map›Paper›PMID 30807590›Full record

SynthesisPloS one2019

Estimating the prevalence of hepatitis C among intravenous drug users in upper middle income countries: A systematic review and meta-analysis.

Víctor Granados-García, Yvonne N Flores, Lizbeth I Díaz-Trejo, Lucia Méndez-Sánchez, Stephanie Liu, Guillermo Salinas-Escudero, Filiberto Toledano-Toledano, Jorge Salmerón

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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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

8 authors at 4 institutions in 2 countries.

Víctor Granados-GarcíaUnidad de Investigación Epidemiológica y en Servicios de Salud Área Envejecimiento, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social (IMSS), Ciudad de México, México.ORCID 0000-0002-9075-576X
Yvonne N FloresUnidad de Investigación Epidemiológica y en Servicios de Salud, Delegación Morelos, Instituto Mexicano del Seguro Social, Cuernavaca, Morelos, México.
Lizbeth I Díaz-TrejoCentro Nacional de Programas Preventivos y Control de Enfermedades, Secretaría de Salud, Ciudad de México, México.
Lucia Méndez-SánchezUnidad de Epidemiología Clínica, Hospital Infantil de México Federico Gómez Instituto Nacional de Salud, Ciudad de México, México.
Stephanie LiuUnidad de Investigación Epidemiológica y en Servicios de Salud, Delegación Morelos, Instituto Mexicano del Seguro Social, Cuernavaca, Morelos, México.
Guillermo Salinas-EscuderoCentro de Estudios Económicos y Sociales en Salud, Hospital Infantil de México Federico Gómez, Ciudad de México, México.ORCID 0000-0003-4573-4844
Filiberto Toledano-ToledanoUnidad de Investigación en Medicina Basada en Evidencias, Hospital Infantil de México Federico Gómez Instituto Nacional de Salud, Ciudad de México, México.
Jorge SalmerónCentro de Investigación en Políticas, Población y Salud, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México.
Hospital Infantil de México Federico Gómez · MXMexican Social Security Institute · MXInstituto Nacional de Salud Pública · MXSecretaria de Salud · MX

Funding

Genetic and Environmental Risk of Liver Disease/Cancer among MexicansK07CA197179 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FLORES, YVONNE NICOLE · 2015 to 2019
$805k
NCI NIH HHS K07 CA197179
6 · The paper itself

Abstract

aimThis systematic review and meta-analysis characterizes the prevalence of hepatitis C virus (HCV) infection among intravenous drug users (IDUs) in upper middle-income countries.

methodsFive databases were searched from 1990-2016 for studies that took place in countries with a GDP per capita of $7,000 to $13,000 USD. The data extraction was performed based on information regarding prevalence, sample size, age of participants, duration of intravenous drug use (IDU), recruitment location, dates of data collection, study design, sampling scheme, type of tests used in identifying antibody reactivity to HCV, and the use of confirmatory tests. The synthesis was performed with a random effects model. The Cochrane statistical Q-test was used to evaluate the statistical heterogeneity of the results.

resultsThe 33 studies included in the analysis correspond to a sample of seven countries and 23,342 observations. The point prevalence value estimates and confidence intervals of the random effects model were 0.729 and 0.644-0.800, respectively for all seven countries, and were greatest for China (0.633; 0.522-0.732) as compared to Brazil (0.396; 0.249-0.564). Prevalence for Montenegro (0.416; 0.237-0.621) and Malaysia (0.475; 0.177-0.792) appear to be intermediate. Mexico (0.960) and Mauritania (0.973) had only one study with the largest prevalence. A clear association was not observed between age or duration of IDU and prevalence of HCV, but the data from some groups may indicate a possible relationship. The measures of heterogeneity (Q and I2) suggest a high level of heterogeneity in studies conducted at the country level and by groups of countries.

conclusionsIn this systematic review and meta-analysis, we found that the pooled prevalence of HCV was high (0.729) among a group of seven upper middle income countries. However, there was significant variation in the prevalence of HCV observed in China (0.633) and Brazil (0.396).

Indexed as

HepacivirusHepatitis CIncomeSubstance Abuse, IntravenousFemaleHumansMalePrevalenceSocioeconomic Factors

Identifiers

PMID30807590
PMCPMC6391024
OpenAlexW2916190440

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.