Evidence map›Paper›PMID 31521121›Full record

SynthesisBMC infectious diseases2019

Characterization of the hepatitis C virus epidemic in Pakistan.

Sarwat Mahmud, Zaina Al Kanaani, Laith J Abu-Raddad

Abstract readSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
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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

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

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  4. Development of RT-LAMP assay for variants of HCV in Pakistan.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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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.

Sarwat MahmudInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Qatar Foundation - Education City, Cornell University, P.O. Box 24144, Doha, Qatar. sam2072@qatar-med.cornell.edu.
Zaina Al KanaaniInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Qatar Foundation - Education City, Cornell University, P.O. Box 24144, Doha, Qatar.
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Qatar Foundation - Education City, Cornell University, P.O. Box 24144, Doha, Qatar. lja2002@qatar-med.cornell.edu.ORCID http://orcid.org/0000-0003-0790-0506

Funding

Qatar National Research Fund 9-040-3-008
6 · The paper itself

Abstract

backgroundWith one in every 20 Pakistanis already infected, Pakistan has the second largest number of hepatitis C virus (HCV) infections globally. The aim of this study was to present a quantitative and analytical characterization of the HCV epidemic in Pakistan.

methodsA standardized database of HCV antibody incidence and prevalence and HCV genotypes in all subpopulations was systematically assembled. Random-effects meta-analyses and random-effects meta-regressions were performed. Shannon Diversity Index was calculated to determine genotype diversity.

resultsThe database included two incidence, 309 prevalence, and 48 genotype measures. Pooled mean HCV prevalence ranged between 7.0% (95% confidence interval (CI): 5.8-8.3%) in Sindh and 0.9% (95% CI: 0.1-2.4%) in Federally Administered Tribal Areas (F.A.T.A). Estimated number of chronically-infected persons ranged between 4.2 million in Punjab and 0.03 million in F.A.T.A. HCV prevalence was stable over time [adjusted odds ratio (AOR) of 1.0 (95% CI: 1.0-1.0)]. Population classification was the strongest predictor of HCV prevalence, explaining 51.8% of prevalence variation. Relative to the general population, HCV prevalence was higher in people who inject drugs [AOR of 23.8 (95% CI: 13.0-43.6)], populations with liver-related conditions [AOR of 22.3 (95% CI: 15.7-31.6)], and high-risk clinical populations [AOR of 7.8 (95% CI: 4.8-12.7)]. Low genotype diversity was observed (Shannon diversity index of 0.67 out of 1.95; 34.5%). There were only minor differences in genotype diversity by province, with genotype 3 being most common in all provinces.

conclusionPakistan's HCV epidemic shows homogeneity across the provinces, and over time. HCV prevalence is strikingly persistent at high level, with no evidence for a decline over the last three decades. Scale up of HCV treatment and prevention is urgently needed.

Indexed as

Antiviral AgentsEpidemicsGenetic VariationGenotypeHepacivirusHepatitis CHepatitis C AntibodiesHumansIncidenceMultivariate AnalysisOdds RatioPakistanPrevalenceRisk FactorsSerologic TestsAntiviral AgentsHepatitis C AntibodiesEpidemicGenotypeHCVHepatitis CPakistanPrevalenceProvince

Identifiers

PMID31521121
PMCPMC6744714

What OpenQuestion holds

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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.