Evidence map›Paper›PMID 22880133›Full record

ArticlePloS one2012

Mood disorders and risk of lung cancer in the EAGLE case-control study and in the U.S. Veterans Affairs inpatient cohort.

David E Capo-Ramos, Ying Gao, Jay H Lubin, David P Check, Lynn R Goldin, Angela C Pesatori, Dario Consonni, Pier Alberto Bertazzi, Andrew J Saxon, Andrew W Bergen and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Flexible nursing in patients with lung cancer who received chemotherapy.Journal of cancer research and clinical oncology · 2023
    Trial
  2. Article
  3. Article
  4. Review
  5. [Consequences of hospitalisations on smoking behaviour in psychiatric and somatic inpatients].Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2014
    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

12 authors at 6 institutions in 2 countries.

David E Capo-RamosDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Ying Gao
Jay H Lubin
David P Check
Lynn R Goldin
Angela C Pesatori
Dario Consonni
Pier Alberto Bertazzi
Andrew J Saxon
Andrew W Bergen
Neil E Caporaso
Maria Teresa Landi
National Institutes of Health · USNational Cancer Institute · USFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITSRI International · USUniversity of Milan · ITUniversity of Washington · US

Funding

University of Toronto Coordinating Genetics Core & Clinical Trial SiteU01DA020830 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI LERMAN, CARYN, TYNDALE, RACHEL FYNVOLA · 2005 to 2014
$22.4M
Salivary Biomarkers (DNA, RNA and Cortisol), Life Stress and Nicotine DependenceRC2DA028793 · NIDA · OREGON RESEARCH INSTITUTE · PI ANDREWS, JUDY A, BERGEN, ANDREW W · 2009 to 2010
$1.6M
DMET Genes, Nicotine Metabolism and Prospective AbstinenceR21DA033813 · NIDA · SRI INTERNATIONAL · PI BERGEN, ANDREW W · 2012 to 2013
$528k
Intramural NIH HHSNIDA NIH HHS R21 DA033813NIDA NIH HHS RC2 DA028793NIDA NIH HHS RC2DA028793NIDA NIH HHS U01 DA020830NIDA NIH HHS U01DA020830
6 · The paper itself

Abstract

backgroundMood disorders may affect lung cancer risk. We evaluated this hypothesis in two large studies. METHODOLOGY/PRINCIPAL

findingsWe examined 1,939 lung cancer cases and 2,102 controls from the Environment And Genetics in Lung cancer Etiology (EAGLE) case-control study conducted in Italy (2002-2005), and 82,945 inpatients with a lung cancer diagnosis and 3,586,299 person-years without a lung cancer diagnosis in the U.S. Veterans Affairs Inpatient Cohort (VA study), composed of veterans with a VA hospital admission (1969-1996). In EAGLE, we calculated odds ratios (ORs) and 95% confidence intervals (CI), with extensive adjustment for tobacco smoking and multiple lifestyle factors. In the VA study, we estimated lung cancer relative risks (RRs) and 95% CIs with time-dependent Poisson regression, adjusting for attained age, calendar year, hospital visits, time within the study, and related previous medical diagnoses. In EAGLE, we found decreased lung cancer risk in subjects with a personal history of mood disorders (OR: 0.59, 95% CI: 0.44-0.79, based on 121 lung cancer incident cases and 192 controls) and family history of mood disorders (OR: 0.62, 95% CI: 0.50-0.77, based on 223 lung cancer cases and 345 controls). The VA study analyses yielded similar results (RR: 0.74, 95% CI: 0.71-0.77, based on 2,304 incident lung cancer cases and 177,267 non-cancer person-years) in men with discharge diagnoses for mood disorders. History of mood disorders was associated with nicotine dependence, alcohol and substance use and psychometric scales of depressive and anxiety symptoms in controls for these studies. CONCLUSIONS/SIGNIFICANCE: The consistent finding of a relationship between mood disorders and lung cancer risk across two large studies calls for further research into the complex interplay of risk factors associated with these two widespread and debilitating diseases. Although we adjusted for smoking effects in EAGLE, residual confounding of the results by smoking cannot be ruled out.

Indexed as

AdultAgedAged, 80 and overCase-Control StudiesConfidence IntervalsDemographyFemaleHumansInpatientsLung NeoplasmsMaleMiddle AgedMood DisordersOdds RatioRisk FactorsUnited States

Identifiers

PMID22880133
PMCPMC3413657
OpenAlexW1998228581

What OpenQuestion holds

Textmetadata
LicenceCC0
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.