Evidence map›Paper›PMID 22786757›Full record

SynthesisAnnals of oncology : official journal of the European Society for Medical Oncology2012

Menstrual and reproductive factors, and hormonal contraception use: associations with non-Hodgkin lymphoma in a pooled analysis of InterLymph case-control studies.

E V Kane, E Roman, N Becker, L Bernstein, P Boffetta, P M Bracci, J R Cerhan, B C-H Chiu, P Cocco, L Costas and 13 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Annals of oncology : official journal of the European Society for Medical Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Hormonal and Reproductive Factors and Risk of Myeloproliferative Neoplasms in Postmenopausal Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    Trial
  4. Article
  5. Article
  6. Review
  7. Epidemiology of Follicular Lymphoma.Hematology/oncology clinics of North America · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Risk of lymphoma subtypes by occupational exposure in Southern Italy.Journal of occupational medicine and toxicology (London, England) · 2017
    Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

23 authors at 18 institutions in 12 countries.

E V KaneEpidemiology and Genetics Unit, Department of Health Sciences, University of York, York, UK. Electronic address: eleanor.kane@egu.york.ac.uk.
E RomanEpidemiology and Genetics Unit, Department of Health Sciences, University of York, York, UK.
N BeckerDivision of Cancer Epidemiology German Cancer Research Centre, Heidelberg, Germany.
L BernsteinDivision of Cancer Etiology, Department of Population Sciences, Beckham Research Institute of the City of Hope Duarte, USA.
P BoffettaInstitute for Translational Epidemiology, The Tisch Cancer Institute, Mount Sinai School of Medicine, New York, USA; International Prevention Research Institute, Lyon, France.
P M BracciDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco.
J R CerhanDepartment of Health Sciences Research, Mayo Clinic College of Medicine, Rochester.
B C-H ChiuDivision of Biological Sciences, Department of Health Studies, University of Chicago, Chicago, USA.
P CoccoOccupational Health Section, Department of Public Health, University of Cagliari, Italy.
L CostasUnit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, Barcelona, Spain.
L ForetovaCancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
E A HollyDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco.
C La VecchiaIstituto di Ricerche Farmacologiche 'Mario Negri' and Department of Occupational Medicine, Universitá degli Studi di Milano, Milan, Italy.
K MatsuoAichi Cancer Center, Division of Epidemiology and Prevention, Nagoya, Japan.
M MaynadieRegistre des Hemopathies Malignes de Cote d'Or, EA 4184, Faculte de Medecine de Dijon, Dijon, France.
S SanjoseUnit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, IDIBELL, CIBERESP, Catalan Institute of Oncology, Barcelona, Spain.
J J SpinelliCancer Control Research Program, BC Cancer Agency, Vancouver, British Columbia, Canada.
A StainesSchool of Public Health, Public Health University College, Dublin, Ireland.
R TalaminiCentro di Riferimento Oncologico, Aviano, Italy.
S S WangDivision of Cancer Etiology, Department of Population Sciences, Beckham Research Institute of the City of Hope Duarte, USA.
Y ZhangYale University School of Public Health, New Haven, USA.
T ZhengYale University School of Public Health, New Haven, USA.
A KrickerSydney School of Public Health, The University of Sydney, Sydney, Australia.
City of Hope · USInstitut Català d'Oncologia · ESUniversity of California, San Francisco · USUniversity of York · GBYale University · USAichi Cancer Center · JPBC Cancer Agency · CACentro di Riferimento Oncologico · ITDepartment of Medical Sciences · BYGerman Cancer Research Center · DEInternational Prevention Research Institute · FRMaison des Sciences de l’Homme de Dijon · FRMario Negri Institute for Pharmacological Research · ITMasaryk Memorial Cancer Institute · CZUniversity College Dublin · IEUniversity of Cagliari · ITUniversity of Chicago · USUniversity of Sydney · AU

Funding

The Role of Monocytes in non-Hodgkin LymphomaP50CA097274 · NCI · UNIVERSITY OF IOWA · PI LENTZ, STEVEN R · 2002 to 2021
$45.7M
Molecular Epidemiology of non Hodgkin's LymphomaR01CA087014 · NCI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI HOLLY, ELIZABETH A. · 2001 to 2005
$6.7M
Molecular Epidemiology of NHL and CLLR01CA092153 · NCI · MAYO CLINIC ROCHESTER · PI CERHAN, JAMES R · 2003 to 2012
$6.7M
SURVEILLANCE, EPIDEMIOLOGY, AND END RESULTS--SEERN01PC065064 · PC · WAYNE STATE UNIVERSITY · PI SCHWARTZ, ANN G · 1996 to 2000
$4.5M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067008 · PC · UNIVERSITY OF IOWA · PI LYNCH, CHARLES · 1996 to 2000
$3.8M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067009 · PC · FRED HUTCHINSON CANCER RESEARCH CENTER · PI THOMAS, DAVID B · 1996 to 2000
$3.0M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067010 · PC · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROSS, RONALD K · 1996 to 2000
$2.4M
Non-Hodgkin lymphoma in women: reproductive, hormonal and genetic factorsR03CA150037 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRACCI, PAIGE M. · 2010 to 2011
$152k
Energy balance and nutrigenetic analysis of non-Hodgkin lymphomaR03CA143947 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRACCI, PAIGE M. · 2010 to 2011
$152k
EPIDEMIOLOGY OF NON HODGKINS'S LYMPHOMA DATA ANALYSISR03CA089745 · NCI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI HOLLY, ELIZABETH A. · 2001 to 2002
$148k
HAIR DYE USE AND RISK OF NONHODGKINS LYMPHOMAR01CA062006 · NCI · YALE UNIVERSITY · PI ZHENG, TONGZHANG · 1995 to 2000
$125k
EPIDEMIOLOGY OF HIV-RELATED LYMPHOMAR01CA050850 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEVINE, ALEXANDRA M · 1989 to 1993
–
NCI NIH HHS CA143947NCI NIH HHS CA150037NCI NIH HHS CA45614NCI NIH HHS CA50850NCI NIH HHS CA62006NCI NIH HHS CA87014NCI NIH HHS CA89745NCI NIH HHS CA92153NCI NIH HHS CA97274NCI NIH HHS PC65064NCI NIH HHS PC67008NCI NIH HHS PC67009NCI NIH HHS PC67010NCI NIH HHS PC71105
6 · The paper itself

Abstract

backgroundThe two most common forms of non-Hodgkin lymphoma (NHL) exhibit different sex ratios: diffuse large B-cell lymphoma (DLBCL) occurs more frequently in men and follicular lymphoma (FL) more frequently in women. Looking among women alone, this pooled analysis explores the relationship between reproductive histories and these cancers. MATERIALS AND

methodsSelf-reported reproductive histories from 4263 women with NHL and 5971 women without NHL were pooled across 18 case-control studies (1983-2005) from North America, Europe and Japan. Study-specific odd ratios (ORs) and confidence intervals (CIs) were estimated using logistic regression and pooled using random-effects meta-analyses.

resultsAssociations with reproductive factors were found for FL rather than NHL overall and DLBCL. In particular, the risk of FL decreased with increasing number of pregnancies (pooled OR(trend) = 0.88, 95% CI 0.81-0.96). FL was associated with hormonal contraception (pooled OR = 1.30, 95% CI 1.04-1.63), and risks were increased when use started after the age of 21, was used for <5 years or stopped for >20 years before diagnosis. DLBCL, on the other hand, was not associated with hormonal contraception (pooled OR = 0.87, 95% CI 0.65-1.16).

conclusionsHormonal contraception is associated with an increased risk of FL but not of DLBCL or NHL overall.

Indexed as

Ovulation InhibitionReproductive HistoryCase-Control StudiesContraceptives, Oral, HormonalFemaleHumansLogistic ModelsLymphoma, Non-HodgkinOdds RatioReproductive Physiological PhenomenaContraceptives, Oral, Hormonal

Identifiers

PMID22786757
PMCPMC3425371
OpenAlexW2099634017

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.