Evidence map›Paper›PMID 27197296›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2016

Comprehensive Evaluation of Medical Conditions Associated with Risk of Non-Hodgkin Lymphoma using Medicare Claims ("MedWAS").

Eric A Engels, Ruth Parsons, Caroline Besson, Lindsay M Morton, Lindsey Enewold, Winnie Ricker, Elizabeth L Yanik, Hannah Arem, April A Austin, Ruth M Pfeiffer

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Association of Obesity and Type 2 Diabetes with Non-Hodgkin Lymphoma: The Multiethnic Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  5. Gender-sensitive word embeddings for healthcare.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  6. Article
  7. Epidemiology of Marginal Zone Lymphoma.Annals of lymphoma · 2021
    Article
  8. Article
  9. Impaired Immune Health in Survivors of Diffuse Large B-Cell Lymphoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Sex differential association of dermatomyositis with Sjögren syndrome.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2017
    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

10 authors at 2 institutions in 1 country.

Eric A EngelsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland. engelse@exchange.nih.gov.
Ruth ParsonsInformation Management Services, Inc., Rockville, Maryland.
Caroline BessonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland. Faculté de Médecine, Université Paris Sud, Le Kremlin-Bicêtre, France.
Lindsay M MortonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Lindsey EnewoldDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Winnie RickerInformation Management Services, Inc., Rockville, Maryland.
Elizabeth L YanikDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Hannah AremDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
April A AustinNew York State Cancer Registry, New York State Department of Health, Albany, New York.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Information Management Services · USNational Cancer Institute · US

Funding

Infections, immunity, and inflammation in cancerZIACP010150 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ENGELS, ERIC A · 2009 to 2025
$24.0M
Infections, immunity, and inflammation in cancerZ01CP010150 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ENGELS, ERIC A · 2000 to 2008
$3.0M
Intramural NIH HHS Z01 CP010150
6 · The paper itself

Abstract

backgroundCertain medical conditions affect risk of non-Hodgkin lymphoma (NHL), but the full range of associations is unknown. We implemented a novel method ("medical condition-wide association study," MedWAS) to comprehensively evaluate medical risk factors for NHL documented in administrative health claims.

methodsUsing Surveillance, Epidemiology, and End Results (SEER)-Medicare data, we conducted a case-control study comparing NHL cases [N = 52,691, age 66+ years, with five subtypes: chronic lymphocytic leukemia/small lymphocytic lymphoma, diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, marginal zone lymphoma (MZL), T-cell lymphoma (TCL)] to controls (N = 200,000). We systematically screened for associations with 5,926 medical conditions documented in Medicare claims more than 1 year before selection.

resultsFifty-five conditions were variously associated with NHL. Examples include well-established associations of human immunodeficiency virus, solid organ transplantation, and hepatitis C virus with increased DLBCL risk (ORs 3.83, 4.27, and 1.74, respectively), and autoimmune conditions with DLBCL and MZL (e.g., ORs of 2.10 and 4.74, respectively, for Sjögren syndrome). Risks for all NHL subtypes were increased after diagnoses of nonmelanoma skin cancer (ORs 1.19-1.55), actinic keratosis (1.12-1.25), or hemolytic anemia (1.64-4.07). Nine additional skin conditions increased only TCL risk (ORs 2.20-4.12). Diabetes mellitus was associated with increased DLBCL risk (OR 1.09). Associations varied significantly across NHL subtypes for 49 conditions (89%).

conclusionUsing an exploratory method, we found numerous medical conditions associated with NHL risk, and many associations varied across NHL subtypes. IMPACT: These results point to etiologic heterogeneity among NHL subtypes. MedWAS is a new method for assessing the etiology of cancer and other diseases. Cancer Epidemiol Biomarkers Prev; 25(7); 1105-13. ©2016 AACR.

Indexed as

AgedAged, 80 and overCase-Control StudiesComorbidityHumansLymphoma, Non-HodgkinMedicarePopulation SurveillanceRisk FactorsSEER ProgramUnited States

Identifiers

PMID27197296
PMCPMC4930732
OpenAlexW2345062194

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.