Evidence map›Paper›PMID 19814782›Full record

SynthesisJournal of experimental & clinical cancer research : CR2009

Urinary estrogen metabolites and prostate cancer: a case-control study and meta-analysis.

Maddalena Barba, Li Yang, Holger J Schünemann, Francesca Sperati, Sara Grioni, Saverio Stranges, Kim C Westerlind, Giovanni Blandino, Michele Gallucci, Rossella Lauria and 2 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of experimental & clinical cancer research : CR, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 14% 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, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. IL-10 polymorphisms and prostate cancer risk: a meta-analysis.Prostate cancer and prostatic diseases · 2011
    Pooled it
  4. Article
  5. Article
  6. When Is Enough, Enough? When Are More Observational Epidemiologic Studies Needed to Resolve a Research Question: Illustrations Using Biomarker-Cancer Associations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  7. Article
  8. Sex steroid hormone metabolism in relation to risk of aggressive prostate cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Article
  9. 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 5 countries.

Maddalena BarbaDepartment of Epidemiology, National Cancer Institute Regina Elena, Rome, Italy. maddalena.barba@gmail.com
Li Yang
Holger J Schünemann
Francesca Sperati
Sara Grioni
Saverio Stranges
Kim C Westerlind
Giovanni Blandino
Michele Gallucci
Rossella Lauria
Luca Malorni
Paola Muti
University of Naples Federico II · ITNational Cancer Institute · MYNebraska Medical Center · USUniversity at Buffalo, State University of New York · USUniversity of Colorado Health · USUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate prostate cancer (Pca) risk in relation to estrogen metabolism, expressed as urinary 2-hydroxyestrone (2-OHE1), 16alpha-hydroxyestrone (16alpha-OHE1) and 2-OHE1 to 16alpha-OHE1 ratio.

methodsWe conducted a case-control study within the Western New York Health Cohort Study (WNYHCS) from 1996 to 2001. From January 2003 through September 2004, we completed the re-call and follow-up of 1092 cohort participants. Cases (n = 26) and controls (n = 110) were matched on age, race and recruitment period according to a 1:4 ratio. We used the unconditional logistic regression to compute crude and adjusted odds ratios (OR) and 95% confident interval (CI) of Pca in relation to 2-OHE1, 16alphaOHE1 and 2-OHE1 to 16alpha-OHE1 by tertiles of urine concentrations (stored in a biorepository for an average of 4 years). We identified age, race, education and body mass index as covariates. We also conducted a systematic review of the literature which revealed no additional studies, but we pooled the results from this study with those from a previously conducted case-control study using the DerSimonian-Laird random effects method.

resultsWe observed a non-significant risk reduction in the highest tertile of 2-OHE1 (OR 0.72, 95% CI 0.25-2.10). Conversely, the odds in the highest tertile of 16alpha-OHE1 showed a non-significant risk increase (OR 1.76 95% CI 0.62-4.98). There was a suggestion of reduced Pca risk for men in the highest tertile of 2-OHE1 to 16alpha-OHE1 ratio (OR 0.56, 95% CI 0.19-1.68). The pooled estimates confirmed the association between an increased Pca risk and higher urinary levels of 16alpha-OHE1 (third vs. first tertile: OR 1.82, 95% CI 1.09-3.05) and the protective effect of a higher 2-OHE 1 to 16alpha-OHE1 ratio (third vs. first tertile: OR 0.53, 95% CI 0.31-0.90).

conclusionOur study and the pooled results provide evidence for a differential role of the estrogen hydroxylation pathway in Pca development and encourage further study.

Indexed as

AgedCase-Control StudiesChromatography, LiquidEstrogensHumansHydroxyestronesMaleMass SpectrometryMiddle AgedProstatic NeoplasmsRisk Factors2-hydroxyestroneEstrogensHydroxyestrones

Identifiers

PMID19814782
PMCPMC2766371
OpenAlexW2160525662

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.