Evidence map›Paper›PMID 32251095›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2020

Stable Incidence and Poor Survival for HIV-Related Burkitt Lymphoma Among the US Veteran Population During the Antiretroviral Era.

Eva Clark, Kathryn E Royse, Yongquan Dong, Elaine Chang, Suchismita Raychaudhury, Jennifer Kramer, Donna L White, Elizabeth Chiao

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Review
  3. 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

8 authors at 3 institutions in 1 country.

Eva ClarkDepartment of Medicine, Section of Infectious Diseases, Baylor College of Medicine, Houston, TX.
Kathryn E RoyseSection of Health Services Research, Michael E. DeBakey VA Health Services Research Center of Innovations (IQuESt), Houston, TX.
Yongquan DongSection of Health Services Research, Michael E. DeBakey VA Health Services Research Center of Innovations (IQuESt), Houston, TX.
Elaine ChangSection of Health Services Research, Michael E. DeBakey VA Health Services Research Center of Innovations (IQuESt), Houston, TX.
Suchismita RaychaudhurySection of Health Services Research, Michael E. DeBakey VA Health Services Research Center of Innovations (IQuESt), Houston, TX.
Jennifer KramerSection of Health Services Research, Michael E. DeBakey VA Health Services Research Center of Innovations (IQuESt), Houston, TX.
Donna L WhiteDepartment of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, TX.
Elizabeth ChiaoDepartment of Medicine, Section of Infectious Diseases, Baylor College of Medicine, Houston, TX.
Baylor College of Medicine · USMichael E. DeBakey VA Medical Center · USChildren's Cancer Center · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
(PQ3) Identifying Novel Pharmacologic Risk factors for Common Non-AIDS Defining Cancers in Individuals with Well-controlled HIV InfectionR01CA206476 · NCI · BAYLOR COLLEGE OF MEDICINE · PI KRAMER, JENNIFER R · 2016 to 2019
$3.0M
BCM Oncology Scholars Training ProgramT32CA174647 · NCI · BAYLOR COLLEGE OF MEDICINE · PI LIN, WEEI-CHIN · 2014 to 2018
$1.2M
Sex hormones and HCV-related liver disease progressionI01CX001430 · VA · MICHAEL E DEBAKEY VA MEDICAL CENTER · PI WHITE, DONNA LORRAINE · 2017 to 2021
–
CSRD VA I01 CX001430NCI NIH HHS P30 CA125123NCI NIH HHS R01 CA206476NCI NIH HHS T32 CA174647
6 · The paper itself

Abstract

backgroundDespite advances in diagnosis and treatment of both HIV and Burkitt lymphoma (BL), persons living with HIV remain at high risk for BL. We conducted this study to evaluate if there have been any changes in the risk of or survival after BL diagnosis among persons living with HIV during the antiretroviral era.

settingVeterans living with HIV (VLWH) and age-matched HIV-negative controls receiving care between 1999 and 2016 were retrospectively identified using Veterans Health Administration electronic medical records.

methodsWe identified BL diagnoses through Veterans Health Administration Cancer Registry review and International Classification of Diseases, Ninth/Tenth Revisions, codes, and we extracted demographic, lifestyle, and clinical variables from electronic medical record. We estimated hazard ratios (HR) and 95% confidence intervals (CIs) for BL risk and survival using Cox proportional models.

resultsWe identified 45,299 VLWH. Eighty-four developed BL (incidence rate = 21.2 per 100,000 person years; CI: 17.1 to 26.3). Median CD4 count at BL diagnosis was 238 cells per milliliter (SD: 324.74) and increased over time. Survival was truncated in VLWH with BL (P < 0.05). The risk of BL in VLWH was 38% less in blacks compared with whites (HR: 0.620; CI: 0.393 to 0.979; P = 0.0401). VLWH with an undetectable viral load for at least 40% of follow-up were 74% less likely to develop BL (HR: 0.261; CI: 0.143 to 0.478; P < 0.0001) and 86% less likely to die after diagnosis (HR: 0.141; CI: 0.058 to 0.348; P < 0.0001).

conclusionsBL incidence among VLWH did not improve between 2000 and 2016. Survival after BL diagnosis in VLWH remains dismal as compared with their HIV-negative counterparts, although veterans with prolonged periods of undetectable viral load had improved prognosis.

Indexed as

AdultAnti-HIV AgentsBurkitt LymphomaFemaleHIV InfectionsHumansIncidenceMaleMiddle AgedRetrospective StudiesUnited StatesAnti-HIV Agents

Identifiers

PMID32251095
PMCPMC7793609
OpenAlexW3001821994

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.