Evidence map›Paper›PMID 23494337›Full record

ReviewDer Urologe. Ausg. A2013

[Metabolic syndrome and prostate cancer].

B J Schmitz-Dräger, G Lümmen, E Bismarck, C Fischer, Mitglieder des Arbeitskreises Prävention, Umwelt und Komplementärmedizin (PUK) der Akademie der Deutschen Urologen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Urologe. Ausg. A, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 87% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

5 authors at 3 institutions in 2 countries.

B J Schmitz-DrägerUrologie, EuromedClinic, Europa-Allee 1, 90763 Fürth, Deutschland. bsd@euromed.de
G Lümmen
E Bismarck
C Fischer
Mitglieder des Arbeitskreises Prävention, Umwelt und Komplementärmedizin (PUK) der Akademie der Deutschen Urologen
Bayreuth Medical Center · DEKlinikum Fürth · DESt. Josef-Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between metabolic syndrome (MS) and prostate cancer (PCA) is highly complex and harbors multiple facets not least because MS is not a single entity but represents a poorly defined inhomogeneous mixture of different diseases and conditions. Although numerous studies suggest a correlation between MS or components of MS and the development of prostate cancer, current evidence cannot be considered convincing. While diabetes appears to be inversely related to PCA, increased serum levels of triglycerides, cholesterol and insulin-like growth factor 1 (IGF-1) may be predictive for high grade disease. Further studies suggested that MS and high serum insulin levels are independent predictors of an unfavorable prognosis in patients with metastatic PCA. Early detection and improved therapeutic options have dramatically prolonged the course of the disease in advanced PCA through the last decades. As a consequence, development of MS in patients undergoing hormone therapy along with the cardiovascular risks has gained increasing relevance. Based on this evolution prevention, early detection and sustainable therapy represent an important clinical challenge to modern urologists active in urooncology.

Indexed as

Cardiovascular DiseasesComorbidityHumansIncidenceInsulinMaleMetabolic SyndromePrognosisProportional Hazards ModelsProstatic NeoplasmsRisk AssessmentSurvival RateInsulin

Identifiers

PMID23494337
OpenAlexW2258066737

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.