Evidence map›Paper›PMID 24112091›Full record

ArticleAddiction (Abingdon, England)2014

Chronic hepatitis C virus infection is associated with all-cause and liver-related mortality in a cohort of HIV-infected patients with alcohol problems.

Daniel Fuster, Debbie M Cheng, Emily K Quinn, David Nunes, Richard Saitz, Jeffrey H Samet, Judith I Tsui

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. 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.

Daniel FusterClinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Debbie M Cheng
Emily K Quinn
David Nunes
Richard Saitz
Jeffrey H Samet
Judith I Tsui

Funding

Clinical Addiction Research and Education ProgramR25DA013582 · NIDA · BOSTON MEDICAL CENTER · PI JEFFREY H. SAMET, Alexander Yale Walley · 2001 to 2026
$8.9M
CLINICAL IMPACT ON HCV &ALCOHOL IN HIV INFECTED PERSONSR01AA013216 · NIAAA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H · 2000 to 2004
$3.7M
URBAN ARCH (2/5) Biostatistics and Data Management Core (BDM)U24AA020779 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CHENG, DEBBIE M. · 2011 to 2020
$3.6M
URBAN ARCH (1/5) Administrative Coordinating Core (Admin Core)U24AA020778 · NIAAA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2011 to 2020
$3.5M
Impact of Alcohol Use on HIV Infection--In the United States and RussiaK24AA015674 · NIAAA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2006 to 2010
$756k
NIAAA NIH HHS K24 AA015674NIAAA NIH HHS K24-AA015674NIAAA NIH HHS R01 AA013216NIAAA NIH HHS R01-AA13216NIAAA NIH HHS U24 AA020778NIAAA NIH HHS U24 AA020779NIDA NIH HHS R25 DA013582NIDA NIH HHS R25-DA13582
6 · The paper itself

Abstract

aimsTo assess the association between hepatitis C virus (HCV) infection and overall and liver-related death in human immunodeficiency virus (HIV)-infected patients with alcohol problems.

designWe analyzed data from a cohort of HIV-infected adults with current or past alcohol problems enrolled between 2001 and 2003, searching for causes of death until 2010 using the National Death Index. SETTING AND

participantsParticipants were HIV-infected adults with current or past alcohol problems, recruited in Boston, MA from HIV clinics at two hospitals, homeless shelters, drug treatment programs, subject referrals, flyers and another cohort study with comparable recruitment sites. MEASUREMENTS: The primary and secondary outcomes were all-cause and liver-related mortality, respectively. The main independent variable was hepatitis C virus (HCV) RNA status (positive versus negative). Mortality rates and Kaplan-Meier survival curves were calculated by HCV status for both overall and liver-related mortality. Cox proportional hazards models were used to assess the association between HCV infection and overall and liver-related death, adjusting for alcohol and drug use over time.

findingsA total of 397 adults (50% HCV-infected) were included. As of 31 December 2009, 83 cohort participants had died (60 HCV-infected, 23 HCV-uninfected; log-rank test P < 0.001), and 26 of those deaths were liver-related (21 HCV-infected, five HCV-uninfected; log-rank test P < 0.001). All-cause and liver-related mortality rates were 4.68 and 1.64 deaths per 100 person-years for HCV-infected patients and 1.65 and 0.36 per 100 person-years for those without HCV, respectively. In the fully adjusted Cox model, HCV infection was associated with both overall [hazard ratio (HR) = 2.55, 95% confidence interval (CI) = 1.50-4.33, P < 0.01], and liver-related mortality (HR = 3.24, 95% CI = 1.18-8.94, P = 0.02].

conclusionHepatitis C virus infection is associated independently with all-cause and liver-related mortality in human immunodeficiency virus-infected patients with alcohol problems, even when accounting for alcohol and other drug use.

Indexed as

AdultAlcohol-Related DisordersCause of DeathCohort StudiesCoinfectionFemaleHepatitis C, ChronicHIV InfectionsHumansKaplan-Meier EstimateLiver DiseasesMaleMiddle AgedProportional Hazards ModelsalcoholHepatitis CHIVmortality

Identifiers

PMID24112091
PMCPMC3947001

What OpenQuestion holds

Textmetadata
LicenceTDM
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.