Evidence map›Paper›PMID 26385727›Full record

ArticleBMC public health2015

Metabolic syndrome and prostate cancer risk in a population-based case-control study in Montreal, Canada.

Audrey Blanc-Lapierre, Andrea Spence, Pierre I Karakiewicz, Armen Aprikian, Fred Saad, Marie-Élise Parent

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 17% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 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

6 authors at 3 institutions in 1 country.

Audrey Blanc-LapierreEpidemiology and Biostatistics Unit, Institut national de la recherche scientifique-Institut Armand-Frappier, University of Quebec, 531 Boul. des Prairies, Laval, QC, H7V 1B7, Canada. audrey.blanc-lapierre@iaf.inrs.ca.
Andrea SpenceEpidemiology and Biostatistics Unit, Institut national de la recherche scientifique-Institut Armand-Frappier, University of Quebec, 531 Boul. des Prairies, Laval, QC, H7V 1B7, Canada. andrea.spence@ladydavis.ca.
Pierre I KarakiewiczCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, 1058, rue St-Denis, Montreal, QC, H2X 3 J4, Canada. prost8@videotron.ca.
Armen AprikianDepartment of Surgery (Urology), McGill University Health Centre, 1650 Cedar Avenue, Montreal, QC, H3G 1A4, Canada. armen.aprikian@muhc.mcgill.ca.
Fred SaadDepartment of Surgery, Division of Urology, Centre Hospitalier de l'Université de Montréal, 1058, rue St-Denis, Montreal, QC, H2X 3 J4, Canada. fred.saad@umontreal.ca.
Marie-Élise ParentEpidemiology and Biostatistics Unit, Institut national de la recherche scientifique-Institut Armand-Frappier, University of Quebec, 531 Boul. des Prairies, Laval, QC, H7V 1B7, Canada. marie-elise.parent@iaf.inrs.ca.
Institut National de la Recherche Scientifique · CAMcGill University Health Centre · CACentre Hospitalier de l’Université de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of metabolic syndrome (MetS) in prostate cancer risk is still debated. We investigated it in a large population-based case-control study.

methodsCases were 1937 men with incident prostate cancer, aged ≤ 75 years, diagnosed across French hospitals in the Montreal area between 2005 and 2009. Concurrently, 1995 population controls from the same residential area and age distribution were randomly selected from electoral list of French-speaking men. Detailed lifestyle and medical histories, and anthropometric measures, were collected during in-person interviews. Prevalence of MetS components (type 2 diabetes, high blood pressure, dyslipidemia and abdominal obesity) was estimated at 2 years before diagnosis for cases/ interview for controls, and at ages 20, 40, 50 and 60. Logistic regression was used to estimate odds ratios (OR) and 95 % confidence intervals for the association between MetS and prostate cancer risk.

resultsA history of MetS (≥ 3 components vs < 3) was associated with a reduced risk of prostate cancer (OR = 0.70 [0.60, 0.82]) after considering potential confounders. The negative association was particularly pronounced with a young age (≤ 40 years) at MetS onset (OR = 0.38 [0.16-0.89]), did not vary according to prostate cancer aggressiveness, and was only partly explained by the presence of type 2 diabetes. A risk decrease was observed with the number of MetS components, suggesting a synergistic interaction of the components. DISCUSSION: The observed negative association, consistent with results from other North American populations undergoing regular prostate cancer screening, underlines the importance of considering PSA-testing when studying the MetS-prostate cancer association.

conclusionsFindings from this study are consistent with an inverse association between MetS and prostate cancer risk.

Indexed as

AdultAgedAge of OnsetCase-Control StudiesDiabetes Mellitus, Type 2DyslipidemiasHumansHypertensionLogistic ModelsMaleMetabolic SyndromeMiddle AgedObesity, AbdominalOdds RatioPrevalenceProstatic Neoplasms

Identifiers

PMID26385727
PMCPMC4574395
OpenAlexW1951807044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.