Evidence map›Paper›PMID 32964065›Full record

ArticleOpen forum infectious diseases2020

Concurrent Hepatitis C and B Virus and Human Immunodeficiency Virus Infections Are Associated With Higher Mortality Risk Illustrating the Impact of Syndemics on Health Outcomes.

Zahid A Butt, Stanley Wong, Carmine Rossi, Mawuena Binka, Jason Wong, Amanda Yu, Maryam Darvishian, Maria Alvarez, Nuria Chapinal, Geoff Mckee and 4 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Predicting hepatitis C infection via machine learning.American journal of translational research · 2025
    Article
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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

14 authors at 3 institutions in 1 country.

Zahid A ButtSchool of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.ORCID 0000-0002-2486-4781
Stanley WongBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Carmine RossiBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Mawuena BinkaBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Jason WongBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Amanda YuBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Maryam DarvishianBC Cancer Agency, Vancouver, British Columbia, Canada.
Maria AlvarezBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Nuria ChapinalBC Cancer Agency, Vancouver, British Columbia, Canada.
Geoff MckeeBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Mark GilbertBritish Columbia Centre for Disease Control, 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 JanjuaBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
BC Centre for Disease Control · CAUniversity of British Columbia · CABC Cancer Agency · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV), hepatitis B virus (HBV), and human immunodeficiency virus (HIV) infections are associated with significant mortality globally and in North America. However, data on impact of concurrent multiple infections on mortality risk are limited. We evaluated the effect of HCV, HBV, and HIV infections and coinfections and associated factors on all-cause mortality in British Columbia (BC), Canada.

methodsThe BC Hepatitis Testers Cohort includes ~1.7 million individuals tested for HCV or HIV, or reported as a case of HCV, HIV, or HBV from 1990 to 2015, linked to administrative databases. We followed people with HCV, HBV, or HIV monoinfection, coinfections, and triple infections from their negative status to date of death or December 31, 2016. Extended Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for factors associated with all-cause mortality.

resultsOf 658 704 individuals tested for HCV, HBV, and HIV, there were 33 804 (5.13%) deaths. In multivariable Cox regression analysis, individuals with HCV/HBV/HIV (HR, 8.9; 95% CI, 8.2-9.7) infections had the highest risk of mortality followed by HCV/HIV (HR, 4.8; 95% CI, 4.4-5.1), HBV/HIV (HR, 4.1; 95% CI, 3.5-4.8), HCV/HBV (HR, 3.9; 95% CI, 3.7-4.2), HCV (HR, 2.6; 95% CI, 2.6-2.7), HBV (HR, 2.2; 95% CI, 2.0-2.3), and HIV (HR, 1.6; 95% CI, 1.5-1.7). Additional factors associated with mortality included injection drug use, problematic alcohol use, material deprivation, diabetes, chronic kidney disease, heart failure, and hypertension.

conclusionsConcurrent multiple infections are associated with high mortality risk. Substance use, comorbidities, and material disadvantage were significantly associated with mortality independent of coinfection. Preventive interventions, including harm reduction combined with coinfection treatments, can significantly reduce mortality.

Indexed as

all-cause mortalitycoinfectionsobservational cohortsyndemics

Identifiers

PMID32964065
PMCPMC7489531
OpenAlexW3049006087

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.