Evidence map›Paper›PMID 31193601›Full record

ArticleEClinicalMedicine

Syndemic Characterization of HCV, HBV, and HIV Co-infections in a Large Population Based Cohort Study.

Geoffrey McKee, Zahid A Butt, Stanley Wong, Travis Salway, Mark Gilbert, Jason Wong, Maria Alvarez, Nuria Chapinal, Maryam Darvishian, Mark W Tyndall and 2 more

Abstract read
In one paragraph

Article in EClinicalMedicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Describing trends of sexually transmitted blood borne co-infections in Nova Scotia from 2019 to 2023.Canadian journal of public health = Revue canadienne de sante publique · 2026
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  15. Impact of COVID-19-related public health measures on HCV testing in British Columbia, Canada: An interrupted time series analysis.Liver international : official journal of the International Association for the Study of the Liver · 2021
    Article
  16. Epidemiological trends of HBV and HDV coinfection among Viennese HIV+ patients.Liver international : official journal of the International Association for the Study of the Liver · 2021
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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

12 authors.

Geoffrey McKeeSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Zahid A ButtSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Stanley WongSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Travis SalwaySchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Mark GilbertSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Jason WongSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Maria AlvarezBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Nuria ChapinalBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Maryam DarvishianSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Mark W TyndallSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Mel KrajdenBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Naveed Z JanjuaSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited data are available on HBV, HCV, and HIV co-infections and triple infection. We characterized co-occurrence of HIV, HBV, and HCV infections at the population level in British Columbia (BC) to identify patterns of predisposing factors unique to co-infection subgroups.

methodsWe analyzed data from the BC Hepatitis Testers Cohort, which includes all individuals tested for HCV or HIV in BC between 1992 and 2013, or included in provincial public health registries of HIV, HCV, HBV, and active tuberculosis. Individuals were classified as negative, mono-, and co-infection groups based on HIV, HBV, and HCV status. We evaluated associations between risk factors (injection drug use, sexual orientation etc.) and co-infection groups using multivariate multinomial logistic regression.

findingsOf a total of 1,376,989 individuals included in the analysis, 1,276,290 were negative and 100,699 were positive for HIV, HBV, and/or HCV. Most cases (91,399, 90.8%) were mono-infected, while 3991 (4.0%) had HBV/HCV, 670 HBV/HIV (0.7%), 3459 HCV/HIV (3.4%), and 1180 HBV/HCV/HIV (1.2%) co-infection. Risk factor and demographic distribution varied across co-infection categories. MSM classification was associated with higher odds of all HIV co-infection groups, particularly HBV/HIV (OR 6.8; 95% CI: 5.6, 8.27), while injection drug use was most strongly associated with triple infection (OR 64.19; 95% CI: 55.11, 74.77) and HIV/HCV (OR 23.23; 95% CI: 21.32, 25.31).

interpretationSyndemics of substance use, sexual practices, mental illness, socioeconomic marginalization, and co-infections differ among population groups, highlighting avenues for optimal composition and context for health services to meet each population's unique needs.

fundingBC Centre for Disease Control and Canadian Institutes of Health Research.

Indexed as

Co-infectionHepatitis BHepatitis CHIVSubstance useSyndemics

Identifiers

PMID31193601
PMCPMC6537523

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.