Evidence map›Paper›PMID 30121582›Full record

SynthesisOccupational and environmental medicine2018

Pooled study of occupational exposure to aromatic hydrocarbon solvents and risk of multiple myeloma.

Anneclaire J De Roos, John Spinelli, Elizabeth B Brown, Djordje Atanackovic, Dalsu Baris, Leslie Bernstein, Parveen Bhatti, Nicola J Camp, Brian C Chiu, Jacqueline Clavel and 15 more

Open access · greenAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Occupational and environmental medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 39% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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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

25 authors at 17 institutions in 5 countries.

Anneclaire J De RoosDornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.
John SpinelliPopulation Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada.
Elizabeth B BrownDepartment of Pathology, University of Alabama, Birmingham, Alabama, USA.
Djordje AtanackovicDivision of Hematology and Hematological Malignancies, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Dalsu BarisOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Leslie BernsteinDepartment of Population Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA.
Parveen BhattiPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Nicola J CampDivision of Hematology and Hematological Malignancies, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Brian C ChiuDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.
Jacqueline ClavelINSERM U1153, Epidemiology and Biostatistics Sorbonne Paris Cité (CRESS), Paris, France.
Wendy CozenDepartments of Preventive Medicine and Pathology, USC Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Silvia De SanjoséCancer Epidemiology Research Programme, Catalan Institute of Oncology, Barcelona, Spain.
James A DosmanCanadian Centre for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, Canada.
Jonathan N HofmannOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
John R McLaughlinPublic Health Ontario, Toronto, Ontario, Canada.
Lucia MiligiUnit of Environmental and Occupational Epidemiology, Oncological Network, Prevention, Research Institute, Florence, Italy.
Alain MonnereauINSERM U1153, Epidemiology and Biostatistics Sorbonne Paris Cité (CRESS), Paris, France.
Laurent OrsiINSERM U1153, Epidemiology and Biostatistics Sorbonne Paris Cité (CRESS), Paris, France.
Mark P PurdueOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Leah H SchinasiDornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.
Guido J TricotInternal Medicine, University of Iowa, Iowa City, USA.
Sophia S WangDepartment of Population Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA.
Yawei ZhangSchool of Public Health, Yale University, New Haven, Connecticut, USA.
Brenda M BirmannChanning Division of Network Medicine, Division of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Pierluigi CoccoDepartment of Public Health and Clinical Molecular Medicine, University of Cagliari, Cagliari, Italy.
Délégation Paris 5 · FRNational Cancer Institute · USCity of Hope · USDrexel University · USUniversity of Utah · USBC Cancer Agency · CABrigham and Women's Hospital · USChicago Department of Public Health · USInstitut Català d'Ornitologia · ESPublic Health Ontario · CAUniversity of Alabama at Birmingham · USUniversity of British Columbia Hospital · CAUniversity of Cagliari · ITUniversity of Iowa · USUniversity of Saskatchewan · CAUniversity of Southern California · USYale University · US

Funding

Multiple Myeloma Consortium Study of Occupational Exposures and Family HistoryR21ES021592 · NIEHS · DREXEL UNIVERSITY · PI DE ROOS, ANNECLAIRE J · 2013 to 2014
$423k
NIEHS NIH HHS R21 ES021592
6 · The paper itself

Abstract

objectivesTo investigate the association between occupational exposure to aromatic hydrocarbon solvents and risk of multiple myeloma (MM) in a large, consortium-based study.

methodsWe pooled data on 2854 cases and 10 743 controls from nine studies participating in the InterLymph consortium. Occupational exposures to benzene, toluene and xylene were assigned by a job-exposure matrix, coupled with 'correction' of exposure probability by self-reported or expert-assessed exposure from the individual studies. Cumulative intensity was calculated as the job-specific exposure intensity multiplied by job duration, summed across jobs. Associations were estimated using logistic regression, with inclusion of covariates for study matching factors and other potential confounders. We repeated our main analysis using random-effects meta-analysis to evaluate heterogeneity of effect.

resultsBenzene, toluene and xylene were each associated with MM. For the three solvents, the highest quartile of high-probability cumulative intensity exposure (vs unexposed) was associated with 42% to 63% increased risks of MM. Associations with toluene and xylene exposures were fairly consistent and robust to sensitivity analyses. The estimated effect for benzene was moderately heterogeneous between the studies. Each solvent's association with MM was stronger for exposure occurring within 20 years of diagnosis than with exposure lagged by more than 20 years.

conclusionsOur study adds important evidence for a role of aromatic hydrocarbon solvents in causation of MM. The difficulty in disentangling individual compounds in this group and a lack of data on potential carcinogenicity of toluene and xylene, in widespread current use, underscore a need for further epidemiological evaluation.

Indexed as

AgedCase-Control StudiesFemaleHumansHydrocarbons, AromaticLogistic ModelsMaleMiddle AgedMultiple MyelomaOccupational DiseasesOccupational ExposureRisk FactorsSolventsHydrocarbons, AromaticSolventscancerepidemiologypublic healthretrospective exposure assessment

Identifiers

PMID30121582
PMCPMC9386620
OpenAlexW2886252081

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.