Evidence map›Paper›PMID 20720098›Full record

ArticleAmerican journal of epidemiology2010

Birth order and risk of non-hodgkin lymphoma--true association or bias?

Andrew E Grulich, Claire M Vajdic, Michael O Falster, Eleanor Kane, Karin Ekstrom Smedby, Paige M Bracci, Silvia de Sanjose, Nikolaus Becker, Jenny Turner, Otoniel Martinez-Maza and 21 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Red meat consumption and stomach cancer risk: a meta-analysis.Journal of cancer research and clinical oncology · 2014
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Non-Hodgkin lymphoma in early life.Journal of the National Cancer Institute · 2012
    Article
  11. Article
  12. Lymphoid malignancies in U.S. Asians: incidence rate differences by birthplace and acculturation.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
    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

31 authors at 2 institutions in 1 country.

Andrew E GrulichHIV Epidemiology and Prevention Program, National Centre in HIV Epidemiology and Clinical Research, University of New South Wales, Sydney, New South Wales 2052, Australia. agrulich@nchecr.unsw.edu.au
Claire M Vajdic
Michael O Falster
Eleanor Kane
Karin Ekstrom Smedby
Paige M Bracci
Silvia de Sanjose
Nikolaus Becker
Jenny Turner
Otoniel Martinez-Maza
Mads Melbye
Eric A Engels
Paolo Vineis
Adele Seniori Costantini
Elizabeth A Holly
John J Spinelli
Carlo La Vecchia
Tongzhang Zheng
Brian C H Chiu
Silvia Franceschi
Pierluigi Cocco
Marc Maynadié
Lenka Foretova
Anthony Staines
Paul Brennan
Scott Davis
Richard K Severson
James R Cerhan
Elizabeth C Breen
Brenda Birmann
Wendy Cozen
National Centre for Clinical Research on Emerging Drugs · AUUNSW Sydney · AU

Funding

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
Genetic Susceptibility to Non-Hodgkins LymphomaR01CA104682 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI SKIBOLA, CHRISTINE F. · 2003 to 2012
$2.6M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067010 · PC · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROSS, RONALD K · 1996 to 2000
$2.4M
Energy Balance, IGF Dysregulation and Multiple MyelomaK07CA115687 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BIRMANN, BRENDA M · 2006 to 2010
$796k
DETERMINANTS OF THE SECULAR INCREASE IN NHLR01CA069269 · NCI · STATENS SERUM INSTITUT · PI MELBYE, MADS · 1998 to 2000
$644k
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
HEMATOLYMPHOPOIETIC MALIGNANCIES IN ITALYR01CA051086 · NCI · UNIVERSITA DI TORINO · PI VINEIS, PAOLO · 1991 to 1993
–
CIHRNCI NIH HHS CA104682NCI NIH HHS CA69269-02NCI NIH HHS CA87014NCI NIH HHS CA89745NCI NIH HHS CA92153NCI NIH HHS K07 CA115687NCI NIH HHS N01 PC065064NCI NIH HHS N01 PC067008NCI NIH HHS N01 PC067009NCI NIH HHS N01 PC067010NCI NIH HHS PC65064NCI NIH HHS PC67008NCI NIH HHS PC67009NCI NIH HHS PC67010NCI NIH HHS PC71105NCI NIH HHS R01 CA045614NCI NIH HHS R01 CA051086NCI NIH HHS R01 CA062006NCI NIH HHS R01 CA087014NCI NIH HHS R01 CA092153NCI NIH HHS R01 CA104682NCI NIH HHS R03 CA089745
6 · The paper itself

Abstract

There is inconsistent evidence that increasing birth order may be associated with risk of non-Hodgkin lymphoma (NHL). The authors examined the association between birth order and related variables and NHL risk in a pooled analysis (1983-2005) of 13,535 cases and 16,427 controls from 18 case-control studies within the International Lymphoma Epidemiology Consortium (InterLymph). Overall, the authors found no significant association between increasing birth order and risk of NHL (P-trend = 0.082) and significant heterogeneity. However, a significant association was present for a number of B- and T-cell NHL subtypes. There was considerable variation in the study-specific risks which was partly explained by study design and participant characteristics. In particular, a significant positive association was present in population-based studies, which had lower response rates in cases and controls, but not in hospital-based studies. A significant positive association was present in higher-socioeconomic-status (SES) participants only. Results were very similar for the related variable of sibship size. The known correlation of high birth order with low SES suggests that selection bias related to SES may be responsible for the association between birth order and NHL.

Indexed as

Birth OrderAdolescentAdultAgedAged, 80 and overCase-Control StudiesFemaleHumansLymphoma, Non-HodgkinMaleMiddle AgedSiblingsSocioeconomic FactorsYoung Adult

Identifiers

PMID20720098
PMCPMC2950815
OpenAlexW2125053969

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.