Evidence map›Paper›PMID 38330063›Full record

SynthesisPloS one2024

Global epidemiology of hepatitis C virus in dialysis patients: A systematic review and meta-analysis.

Raoul Kenfack-Momo, Marceline Djuidje Ngounoue, Sebastien Kenmoe, Guy Roussel Takuissu, Jean Thierry Ebogo-Belobo, Cyprien Kengne-Ndé, Donatien Serge Mbaga, Elisabeth Zeuko'o Menkem, Robertine Lontuo Fogang, Serges Tchatchouang and 9 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Observational
  10. Renal Manifestations of Chronic Hepatitis C: A Review.Journal of clinical medicine · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. 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

19 authors at 6 institutions in 1 country.

Raoul Kenfack-MomoDepartment of Biochemistry, The University of Yaounde I, Yaounde, Cameroon.
Marceline Djuidje NgounoueDepartment of Biochemistry, The University of Yaounde I, Yaounde, Cameroon.
Sebastien KenmoeDepartment of Microbiology and Parasitology, University of Buea, Buea, Cameroon.ORCID 0000-0002-5536-080X
Guy Roussel TakuissuCentre for Food, Food Security and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon.
Jean Thierry Ebogo-BeloboMedical Research Centre, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon.ORCID 0000-0002-4057-889X
Cyprien Kengne-NdéEpidemiological Surveillance, Evaluation and Research Unit, National AIDS Control Committee, Douala, Cameroon.
Donatien Serge MbagaDepartment of Microbiology, The University of Yaounde I, Yaounde, Cameroon.
Elisabeth Zeuko'o MenkemDepartment of Biomedical Sciences, University of Buea, Buea, Cameroon.
Robertine Lontuo FogangDepartment of Animal Biology, University of Dschang, Dschang, Cameroon.
Serges TchatchouangScientific Direction, Centre Pasteur du Cameroun, Yaoundé, Cameroon.
Juliette Laure Ndzie OndiguiDepartment of Microbiology, The University of Yaounde I, Yaounde, Cameroon.
Ginette Irma Kame-NgasseMedical Research Centre, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon.
Josiane Kenfack-ZanguimDepartment of Biochemistry, The University of Yaounde I, Yaounde, Cameroon.
Jeannette Nina Magoudjou-PekamDepartment of Biochemistry, The University of Yaounde I, Yaounde, Cameroon.
Arnol Bowo-NgandjiDepartment of Microbiology, The University of Yaounde I, Yaounde, Cameroon.
Maimouna MahamatFaculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon.
Seraphine Nkie EsemuDepartment of Microbiology and Parasitology, University of Buea, Buea, Cameroon.
Lucy NdipDepartment of Microbiology and Parasitology, University of Buea, Buea, Cameroon.
Richard NjouomVirology Department, Centre Pasteur of Cameroon, Yaoundé, Cameroon.
Université de Yaoundé I · CMUniversity of Buea · CMMinistry of Scientific Research and Innovation · CMCentre Pasteur du Cameroun · CMUniversité de Dschang · CMUniversity of Douala · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dialysis is a replacement therapy for patients with End-Stage Renal Disease (ESRD). Patients on dialysis are at high risk of acquiring hepatitis C virus (HCV), which has become a leading cause of morbidity and mortality in this population. There is a wide range of prevalence of HCV in dialysis populations around the world. It is still unknown how prevalent HCV infection is among worldwide dialysis patients (including those undergoing hemodialysis and peritoneal dialysis). A review was conducted to estimate the global epidemiology of hepatitis C in dialysis patients. We searched PubMed, Excerpta Medica Database (Embase), Global Index Medicus and Web of Science until October 2022. A manual search of references from relevant articles was also conducted. Heterogeneity was evaluated by the χ2 test on Cochrane's Q statistic, and the sources of heterogeneity were investigated using subgroup analysis. In order to assess publication bias, funnel plots and Egger tests were conducted, and pooled HCV prevalence estimates were generated using a DerSimonian and Laird meta-analysis model. The study is registered with PROSPERO under CRD42022237789. We included 634 papers involving 392160 participants. The overall HCV case fatality rate was 38.7% (95% CI = 28.9-49). The global prevalence of HCV infection in dialysis population group were 24.3% [95% CI = 22.6-25.9]. As indicated by UNSD region, country, dialysis type, and HCV diagnostic targeted; Eastern Europe had the highest prevalence of 48.6% [95% CI = 35.2-62], Indonesia had 63.6% [95% CI = 42.9-82], hemodialysis patients had 25.5% [95% CI = 23.8-27.3], and anti-HCV were detected in 24.5% [95% CI = 22.8-26.2]. Dialysis patients, particularly those on hemodialysis, have a high prevalence and case fatality rate of HCV infection. Hemodialysis units need to implement strict infection control measures.

Indexed as

HepacivirusHepatitis CKidney Failure, ChronicRenal DialysisGlobal HealthHumansPrevalence

Identifiers

PMID38330063
PMCPMC10852299
OpenAlexW4391640938

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.