Evidence map›Paper›PMID 29870537›Full record

ArticlePloS one2018

Cancer risk in HIV patients with incomplete viral suppression after initiation of antiretroviral therapy.

Jennifer S Lee, Stephen R Cole, Chad J Achenbach, Dirk P Dittmer, David B Richardson, William C Miller, Christopher Mathews, Keri N Althoff, Richard D Moore, Joseph J Eron and 1 more

Abstract read
In one paragraph

Article in PloS one, 2018. 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
–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

13 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. HIV-1 Viremia and Cancer Risk in 2.8 Million People: The South African HIV Cancer Match Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

11 authors.

Jennifer S LeeDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0003-3971-0766
Stephen R ColeDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Chad J AchenbachDepartment of Medicine, Division of Infectious Diseases, Center for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Dirk P DittmerCenter for AIDS Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0003-4968-5656
David B RichardsonDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
William C MillerDivision of Epidemiology, The Ohio State University, Columbus, Ohio, United States of America.
Christopher MathewsUniversity of California, San Diego, California, United States of America.ORCID 0000-0002-2352-0725
Keri N AlthoffDepartment of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Richard D MooreDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America.
Joseph J EronCenter for AIDS Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-4938-0644
Center for AIDS Research (CFAR) Network of Integrated Clinical Systems (CNICS)

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
North American AIDS Cohorts on Collaboration and Design (NAACCORD)U01AI069918 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Keri Nicole Althoff, RICHARD Douglas MOORE · 2006 to 2026
$65.2M
WG3: HIV, Co-infections and Co-morbiditiesP30AI036219 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI Sharon L. Hillier, JONATHAN KARN · 1994 to 2026
$50.0M
Johns Hopkins HIV Clinical CohortU01DA036935 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 2014 to 2024
$14.9M
Training in Sexually Transmitted Infections and HIVT32AI007001 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SENA-SOBERANO, ARLENE C. · 1985 to 2025
$10.9M
NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI036214NIAID NIH HHS P30 AI036219NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI060354NIAID NIH HHS P30 AI094189NIAID NIH HHS R01 AI100654NIAID NIH HHS R24 AI067039NIAID NIH HHS T32 AI007001NIAID NIH HHS U01 AI069918NIA NIH HHS R01 AG053100NIDA NIH HHS U01 DA036935
6 · The paper itself

Abstract

backgroundCancer causes significant morbidity and mortality among HIV patients in the US due to extended life expectancy with access to effective antiretroviral therapy. Low, detectable HIV RNA has been studied as a risk factor for adverse health outcomes, but its clinical impact on cancer risk remains unclear. The objective of this study was to determine whether HIV RNA <1,000 copies/mL six months after starting therapy was associated with 10-year first cancer risk.

methodsWe followed 7,515 HIV therapy initiators from a US-based multicenter clinical cohort from 1998 to 2014. We used nonparametric multiple imputation to account for viral loads that fell below assay detection limits, and categorized viral loads six months after therapy initiation into four groups: <20, 20-199, 200-999, and >999 copies/mL. We calculated estimates of the cumulative incidence of cancer diagnosis, accounting for death as a competing event. Inverse probability of exposure and censoring weights were used to control for confounding and differential loss to follow up, respectively.

resultsCrude 10-year first cancer risk in the study sample was 7.03% (95% CI: 6.08%, 7.98%), with the highest risk observed among patients with viral loads between 200 and 999 copies/mL six months after ART initiation (10.7%). After controlling for baseline confounders, 10-year first cancer risk was 6.90% (95% CI: 5.69%, 8.12%), and was similar across viral load categories.

conclusionOverall risk of first cancer was not associated with incomplete viral suppression; however, cancer remains a significant threat to HIV patients after treatment initiation. As more HIV patients gain access to treatment in the current "treat all" era, occurrences of incomplete viral suppression will be observed more frequently in clinical practice, which supports continued study of the role of low-level HIV RNA on cancer development.

Indexed as

AdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveDefective VirusesFemaleHIV-1HIV InfectionsHumansMiddle AgedNeoplasmsRisk FactorsRNA, ViralViral LoadAnti-HIV AgentsRNA, Viral

Identifiers

PMID29870537
PMCPMC5988275

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Registered trials

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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.