Evidence map›Paper›PMID 31804663›Full record

Observational studyJAMA oncology2020

Immune Status and Associated Mortality After Cancer Treatment Among Individuals With HIV in the Antiretroviral Therapy Era.

Keri L Calkins, Geetanjali Chander, Corinne E Joshu, Kala Visvanathan, Anthony T Fojo, Catherine R Lesko, Richard D Moore, Bryan Lau

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in JAMA oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 13% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Incidence of dementia after a recent cancer diagnosis among people with HIV.medRxiv : the preprint server for health sciences · 2026
    Article
  6. Article
  7. Article
  8. Risk of lymphoma among people with HIV in the United States, 2001-2019.Journal of the National Cancer Institute · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Cancer Immunotherapy Trials Network 12: Pembrolizumab in HIV-Associated Kaposi Sarcoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  13. Review
  14. Excess Mortality in Persons with Concurrent HIV and Cancer Diagnoses: A Retrospective Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  15. Cancer in People with HIV.Infectious disease clinics of North America · 2024
    Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Keri L CalkinsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Geetanjali ChanderDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Corinne E JoshuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Kala VisvanathanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Anthony T FojoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Catherine R LeskoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Richard D MooreDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Bryan LauDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

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
Johns Hopkins HIV Clinical CohortU01DA036935 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 2014 to 2024
$14.9M
Mentoring and Patient Oriented Research at the Nexus of Unhealthy Alcohol Use and HIVK24AA027483 · NIAAA · UNIVERSITY OF WASHINGTON · PI GEETANJALI CHANDER · 2019 to 2026
$1.3M
NIAAA NIH HHS K24 AA027483NIAID NIH HHS P30 AI094189NIAID NIH HHS U01 AI069918NIDA NIH HHS U01 DA036935
6 · The paper itself

Abstract

Importance: Immunologic decline associated with cancer treatment in people with HIV is not well characterized. Quantifying excess mortality associated with cancer treatment-related immunosuppression may help inform cancer treatment guidelines for persons with HIV. Objective: To estimate the association between cancer treatment and CD4 count and HIV RNA level in persons with HIV and between posttreatment CD4 count and HIV RNA trajectories and all-cause mortality. Design, Setting, and Participants: This observational cohort study included 196 adults with HIV who had an incident first cancer and available cancer treatment data while in the care of The Johns Hopkins HIV Clinic from January 1, 1997, through March 1, 2016. The study hypothesized that chemotherapy and/or radiotherapy in people with HIV would increase HIV RNA levels owing to treatment tolerability issues and would be associated with a larger initial decline in CD4 count and slower CD4 recovery compared with surgery or other treatment. An additional hypothesis was that these CD4 count declines would be associated with higher mortality independent of baseline CD4 count, antiretroviral therapy use, and risk due to the underlying cancer. Data were analyzed from December 1, 2017, through April 1, 2018. Exposures: Initial cancer treatment category (chemotherapy and/or radiotherapy vs surgery or other treatment). Main Outcomes and Measures: Post-cancer treatment longitudinal CD4 count, longitudinal HIV RNA level, and all-cause mortality. Results: Among the 196 participants (135 [68.9%] male; median age, 50 [interquartile range, 43-55] years), chemotherapy and/or radiotherapy decreased initial CD4 count by 203 cells/μL (95% CI, 92-306 cells/μL) among those with a baseline CD4 count of greater than 500 cells/μL. The decline for those with a baseline CD4 count of no greater than 350 cells/μL was 45 cells/μL (interaction estimate, 158 cells/μL; 95% CI, 31-276 cells/μL). Chemotherapy and/or radiotherapy had no detrimental association with HIV RNA levels. After initial cancer treatment, every 100 cells/μL decrease in CD4 count resulted in a 27% increase in mortality (hazard ratio, 1.27; 95% CI, 1.08-1.53), adjusting for HIV RNA level. No significant increase in mortality was associated with a unit increase in log10 HIV RNA after adjusting for CD4 count (hazard ratio, 1.24; 95% CI, 0.94-1.65). Conclusions and Relevance: In this study, chemotherapy and/or radiotherapy was associated with significantly reduced initial CD4 count in adults with HIV compared with surgery or other treatment. Lower CD4 count after cancer treatment was associated with an increased hazard of mortality. Further research is necessary on the immunosuppressive effects of cancer treatment in adults with HIV and whether health care professionals must consider the balance of cancer treatment efficacy against the potential cost of further immunosuppression. Monitoring of immune status may also be helpful given the decrease in CD4 count after treatment and the already immunocompromised state of patients with HIV.

Indexed as

HIV InfectionsNeoplasmsAdultAnti-Retroviral AgentsCD4 Lymphocyte CountFemaleHIVHumansMaleMiddle AgedRNA, ViralAnti-Retroviral AgentsRNA, Viral

Identifiers

PMID31804663
PMCPMC6902188
OpenAlexW2993832044

What OpenQuestion holds

Textmetadata
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.