Evidence map›Paper›PMID 30069001›Full record

ArticleBlood cancer journal2018

History of autoimmune conditions and lymphoma prognosis.

Geffen Kleinstern, Matthew J Maurer, Mark Liebow, Thomas M Habermann, Jean L Koff, Cristine Allmer, Thomas E Witzig, Grzegorz S Nowakowski, Ivana N Micallef, Patrick B Johnston and 7 more

Abstract read
In one paragraph

Article in Blood cancer journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Idiotype-specific CD4Nature communications · 2026
    Article
  4. Article
  5. CD5Discover oncology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

17 authors.

Geffen KleinsternDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Matthew J MaurerDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-1867-0526
Mark LiebowDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Thomas M HabermannDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Jean L KoffDivision of Bone Marrow and Stem Cell Transplantation, Winship Cancer Institute of Emory University, Atlanta, GA, USA.
Cristine AllmerDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Thomas E WitzigDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Grzegorz S NowakowskiDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Ivana N MicallefDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Patrick B JohnstonDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
David J InwardsDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Carrie A ThompsonDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Andrew L FeldmanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-5009-4808
Brian K LinkUniversity of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Christopher FlowersWinship Cancer Institute of Emory University, Atlanta, GA, USA.
Susan L SlagerDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
James R CerhanDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. cerhan.james@mayo.edu.ORCID http://orcid.org/0000-0002-7482-178X

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
The Role of Monocytes in non-Hodgkin LymphomaP50CA097274 · NCI · UNIVERSITY OF IOWA · PI WEINER, GEORGE J. · 2002 to 2021
$45.7M
The Lymphoma Epidemiology of Outcomes (LEO) Cohort Study (Supplement)U01CA195568 · NCI · MAYO CLINIC ROCHESTER · PI CERHAN, JAMES R, FLOWERS, CHRISTOPHER R · 2015 to 2025
$22.1M
Mayo Cancer Genetic Epidemiology Training ProgramR25CA092049 · NCI · MAYO CLINIC ROCHESTER · PI PETERSEN, GLORIA M., VACHON, CELINE M · 2001 to 2018
$5.3M
NCI NIH HHS P50 CA097274NCI NIH HHS R25 CA092049NCI NIH HHS U01 CA195568
6 · The paper itself

Abstract

Autoimmune conditions are strong risk factors for developing lymphoma, but their role in lymphoma prognosis is less clear. In a prospective cohort study, we evaluated self-reported history of eight autoimmune conditions with outcomes in 736 diffuse large B-cell, 703 follicular, 302 marginal zone (MZL), 193 mantle cell (MCL), 297 Hodgkin lymphoma (HL), and 186 T-cell lymphomas. We calculated event-free survival (EFS) and overall survival (OS), and estimated hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for sex, prognostic score, and treatment. History of any of the eight autoimmune conditions ranged from 7.4% in HL to 18.2% in MZL, and was not associated with EFS or OS for any lymphoma subtype. However, there was a positive association of autoimmune conditions primarily mediated by B-cell responses with inferior EFS in MCL (HR = 2.23, CI: 1.15-4.34) and HL (HR = 2.63, CI: 1.04-6.63), which was largely driven by rheumatoid arthritis. Autoimmune conditions primarily mediated by T-cell responses were not found to be associated with EFS or OS in any lymphoma subtype, although there were few events for this exposure. Our results indicate that distinguishing autoimmune conditions primarily mediated by B-cell/T-cell responses may yield insight regarding the impact of this comorbid disease, affecting ~10% of lymphoma patients, on survival.

Indexed as

AutoimmunityAdultAgedAutoimmune DiseasesB-LymphocytesFemaleHumansLymphomaMaleMiddle AgedPrognosisProportional Hazards ModelsRisk FactorsT-Lymphocytes

Identifiers

PMID30069001
PMCPMC6070501

What OpenQuestion holds

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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.