Evidence map›Paper›PMID 31272986›Full record

ArticleBMJ open2019

Screening a nation for hepatitis C virus elimination: a cross-sectional study on prevalence of hepatitis C and associated risk factors in the Rwandan general population.

Justine Umutesi, Carol Yingkai Liu, Michael J Penkunas, Jean Damascene Makuza, Corneille K Ntihabose, Sabine Umuraza, Julienne Niyikora, Janvier Serumondo, Neil Gupta, Sabin Nsanzimana

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  6. Observational
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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

10 authors at 3 institutions in 2 countries.

Justine UmutesiInstitute of HIV, Diseases Prevention and Control, Rwanda Biomedical Center, Kigali, Rwanda.
Carol Yingkai LiuHepatitis Unit, Clinton Health Access Initiative, Boston, Kigali, Rwanda.
Michael J PenkunasHepatitis Unit, Clinton Health Access Initiative, Boston, Kigali, Rwanda.
Jean Damascene MakuzaInstitute of HIV, Diseases Prevention and Control, Rwanda Biomedical Center, Kigali, Rwanda.
Corneille K NtihaboseInstitute of HIV, Diseases Prevention and Control, Rwanda Biomedical Center, Kigali, Rwanda.
Sabine UmurazaHepatitis Unit, Clinton Health Access Initiative, Boston, Kigali, Rwanda.
Julienne NiyikoraHepatitis Unit, Clinton Health Access Initiative, Boston, Kigali, Rwanda.
Janvier SerumondoRwanda Biomedical Center, Kigali, Rwanda.
Neil GuptaGlobal Health Equity, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Sabin NsanzimanaInstitute of HIV, Diseases Prevention and Control, Rwanda Biomedical Center, Kigali, Rwanda.
Rwanda Biomedical Center · RWClinton Health Access Initiative · USUniversity of Global Health Equity · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe analysed data collected during programmatic screening activities conducted in 2017 to describe hepatitis C virus (HCV) seroprevalence in the general population and identify associated factors.

designWe analysed data collected between June and September 2017. For both seroprevalence and viraemia, variations across demographic and geographic factors were assessed and multivariate regression models were fit to identify factors independently associated with each marker. Geospatial data were examined for visualisation.

settingHCV screening was organised within each of the 30 districts in Rwanda. One designated location in each district was selected as the screening site and screening took place for 1 week at each site.

participantsThis study included 124 223 male and female volunteers. Anti-HCV-positive individuals were followed up with HCV RNA viral load (VL) testing for infection confirmation.

main outcome measuresTwo markers were examined: the presence of HCV antibodies and HCV RNA VL.

resultsAmong 124 223 individuals screened, 11 003 (8.86%, 95% CIs: 8.70% to 9.02%) were positive for anti-HCV. Anti-HCV prevalence varied by age with the oldest age group (>55 year olds) having a prevalence of 16.46% (95% CIs: 16.14% to 16.80%) and the youngest age group (<25 year olds) having a prevalence of 2.20% (95% CIs: 1.93% to 2.50%) (crude OR=8.78). After adjustment for covariates, an association remained between anti-HCV prevalence and age (p<0.001), province (p<0.001) and socioeconomic status (p<0.001). Of the 3771 anti-HCV-positive individuals who had an available HCV RNA VL result, 2099 (55.66%, 95% CI: 54.06% to 57.25%) had a detectable HCV RNA VL. Age was also associated with HCV viraemia (p<0.001).

conclusionResults suggest that over 55% of individuals who screened positive for HCV-antibodies were chronically infected. Targeted screening for HCV among older individuals is recommended, given the association between age and infection. Further geographical hotspots of HCV infection can also inform targeted screening as Rwanda moves towards HCV elimination.

Indexed as

Mass ScreeningAdultCross-Sectional StudiesFemaleHepatitis CHepatitis C AntibodiesHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisRetrospective StudiesRisk FactorsRwandaSeroepidemiologic StudiesViral LoadHepatitis C Antibodiesepidemiologyhepatologyinfectious diseasesinternal medicine

Identifiers

PMID31272986
PMCPMC6615840
OpenAlexW2954960724

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.