Evidence map›Paper›PMID 26989123›Full record

ArticleInternational journal of epidemiology2016

Associations between cancer and Parkinson's disease in U.S. elderly adults.

D Michal Freedman, Jincao Wu, Honglei Chen, Eric A Engels, Lindsey R Enewold, Neal D Freedman, James J Goedert, Ralph W Kuncl, Mitchell H Gail, Ruth M Pfeiffer

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 7 pooled it
2.5field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 7 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

D Michal FreedmanNational Cancer Institute, Division of Cancer Epidemiology and Genetics, Rockville, MD, USA freedmam@mail.nih.gov.
Jincao WuNational Cancer Institute, Division of Cancer Epidemiology and Genetics, Rockville, MD, USA Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, MD, USA.
Honglei ChenNational Institute of Environmental Health Sciences, Aging and Neuroepidemiology Group, Research Triangle Park, NC, USA.
Eric A EngelsNational Cancer Institute, Division of Cancer Epidemiology and Genetics, Rockville, MD, USA.
Lindsey R EnewoldNational Cancer Institute, Division of Cancer Control and Population Sciences, Rockville, MD, USA and.
Neal D FreedmanNational Cancer Institute, Division of Cancer Epidemiology and Genetics, Rockville, MD, USA.
James J GoedertNational Cancer Institute, Division of Cancer Epidemiology and Genetics, Rockville, MD, USA.
Ralph W KunclUniversity of Redlands, Department of Biology, Redlands, CA, USA.
Mitchell H GailNational Cancer Institute, Division of Cancer Epidemiology and Genetics, Rockville, MD, USA.
Ruth M PfeifferNational Cancer Institute, Division of Cancer Epidemiology and Genetics, Rockville, MD, USA.
Division of Cancer Epidemiology and GeneticsNational Cancer Institute · USNational Institute of Environmental Health Sciences · USUniversity of Redlands · US

Funding

Studies of Populations Exposed to Therapeutic Medical Radiation and Other AgentsZIACP010131 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MORTON, LINDSAY · 2009 to 2025
$81.0M
Prospective studies on Parkinson's diseaseZIAES101986 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CHEN, HONGLEI · 2009 to 2016
$7.9M
6 · The paper itself

Abstract

backgroundSeveral studies suggest that cancer is reduced before and after a Parkinson's disease (PD) diagnosis. However, determining relationships among diseases of ageing is challenging due to possible biases in ascertaining disease. This study evaluates the PD and cancer relationship, addressing potential biases.

methodsUsing Surveillance, Epidemiology, and End Results-Medicare linked data (1992-2005) of adults ≥ 65 years, we assessed PD risk after cancer comparing PD in 743 779 cancer patients with PD in a non-cancer group (n = 419 432) in prospective cohort analyses. We also conducted a case-control study of 836 947 cancer cases and 142 869 controls to assess cancer following PD. We applied Cox proportional hazards models to estimate hazards ratios (HRs) for PD after cancer and unconditional logistic regression to estimate odds ratios (ORs) for PD preceding cancer, controlling for physician visits and other factors. To explore biases in ascertaining cancer, we examined relationships between cancer and automobile accident injuries, which we expected to be null.

resultsNo association was observed between cancer and subsequent PD [HR = 0.97; 95% confidence interval (CI) = 0.92-1.01] nor between cancer and subsequent automobile injuries (HR = 1.03; 95% CI = 0.98-1.07). One site, lung cancer, was associated with subsequent reduced PD, which may reflect confounding by smoking. In the case-control analysis, PD was associated with reduced subsequent cancer, overall (OR = 0.77; 95% CI = 0.71-0.82) and for several cancer sites. However, the automobile injury/ subsequent cancer association was similar (OR = 0.83; 95% CI = 0.78-0.88), suggesting a cancer detection bias after serious health outcomes.

conclusionsIn totality, our data do not support a biological relationship between PD and cancer.

Indexed as

AgedAged, 80 and overAge DistributionCase-Control StudiesDatabases, FactualFemaleHumansLogistic ModelsMaleMedicareNeoplasmsParkinson DiseaseProportional Hazards ModelsProspective StudiesRisk FactorsSEER Program: CancerMedicareParkinson’s diseaseSEER Program

Identifiers

PMID26989123
PMCPMC5841885
OpenAlexW2312179619

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.