Evidence map›Paper›PMID 39254917›Full record

SynthesisJournal of epidemiology and global health2024

The Prevalence and Genotype Distribution of Hepatitis C Virus in Kenya: A Systematic Review and Meta-Analysis.

Grace Naswa Makokha, Huarui Bao, C Nelson Hayes, Maidina Abuduwaili, Elijah Songok, Makoto Hijikata, Kazuaki Chayama

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of epidemiology and global health, 2024. 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
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.

  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

7 authors.

Grace Naswa MakokhaHiroshima Institute of Life Sciences, 7-21 Nishi Asahi-machi, Minami-ku, Hiroshima City, Hiroshima, 734-0002, Japan. gnaswa@hiro-lifes.com.
Huarui BaoDepartment of Gastroenterology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Higashihiroshima, Japan.
C Nelson HayesDepartment of Gastroenterology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Higashihiroshima, Japan.
Maidina AbuduwailiHiroshima Institute of Life Sciences, 7-21 Nishi Asahi-machi, Minami-ku, Hiroshima City, Hiroshima, 734-0002, Japan.
Elijah SongokGraduate School of Health Sciences, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Makoto HijikataHiroshima Institute of Life Sciences, 7-21 Nishi Asahi-machi, Minami-ku, Hiroshima City, Hiroshima, 734-0002, Japan.
Kazuaki ChayamaHiroshima Institute of Life Sciences, 7-21 Nishi Asahi-machi, Minami-ku, Hiroshima City, Hiroshima, 734-0002, Japan.

Funding

Japan Agency for Medical Research and Development 24fk0210122h0002
6 · The paper itself

Abstract

backgroundHepatitis C (HCV) is a virus that causes chronic liver disease, end-stage cirrhosis, and liver cancer, yet most infected individuals remain undiagnosed or untreated. Kenya is a country located in Sub-Saharan Africa (SSA) where the prevalence of HCV remains high but with uncertain disease burden due to little population-based evidence of the epidemic. We aimed to highlight the HCV disease burden in Kenya with a summary of the available data.

methodsThe study was performed as per the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. We searched publications reporting HCV prevalence and genotypes in Kenya between January 2000 to December 2022. The effect size, i.e., the HCV prevalence, was defined as the proportion of samples testing positive for HCV antibody. Study quality was assessed by the Joanna Briggs Institute (JBI) critical appraisal checklist. Due to high study heterogeneity, the studies were categorized into low-, intermediate-, and high-risk for HCV infection. The pooled estimate prevalence per category was determined by the random effects model. This review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) (ID: CRD42023401892).

resultsA total of 29 studies with a sample size of 90,668 met our inclusion criteria, a third of which were from the capital city Nairobi (34.5%). Half of the studies included HIV-infected individuals (31%) or injection drug users (20.7%). HCV genotype 1 was the most common, with genotype 4 only slightly less common, and together they accounted for 94% of cases. The pooled prevalence for the low-, intermediate- and high-risk groups were 2.0%, 3.4%, and 15.5%, respectively. Over 80% of the studies had a score of > 6 on the JBI scale, indicating a low risk of bias in terms of study design, conduct and analysis.

conclusionOur findings demonstrate that there is a higher prevalence of HCV in key populations such as HIV-infected individuals and drug users than in the general population in Kenya. We found that HCV genotypes 1 and 4 were the most common genotypes. More data from the general population is required in order to establish baseline data on the prevalence and genotypes of HCV in Kenya.

Indexed as

GenotypeHepacivirusHepatitis CHumansKenyaPrevalenceGenotypesHepatitis C virusKenyaMeta-analysisPrevalenceReview

Identifiers

PMID39254917
PMCPMC11442939

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.