Evidence map›Paper›PMID 26275075›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2015

Metabolic Syndrome Components are Associated with Increased Prostate Cancer Risk.

Jian-Qin Zhang, Hui Geng, Mao Ma, Xun-Yi Nan, Bin-Wu Sheng

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Meta-analysis of metabolic syndrome and prostate cancer.Prostate cancer and prostatic diseases · 2017
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  16. Associations between Obesity and Spinal Diseases: A Medical Expenditure Panel Study Analysis.International journal of environmental research and public health · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jian-Qin ZhangDepartment of Nutrition, The First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Hui GengHealth Examination Center, The First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Mao MaDepartment of Geriatric Surgery, The First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Xun-Yi NanUrology Institute, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Bin-Wu ShengDepartment of Geriatric Surgery, The First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study investigated the associations of metabolic syndrome (MS) and metabolic indicators with prostate cancer (PCa) risk in the Chinese Han ethnic population. MATERIAL AND

methodsWe studied 101 PCa patients (without/with MS) and 120 healthy controls. Clinical data, including waist circumference, BMI, TG, FINS, FBG, and PCa-related indicators, were collected. The correlations between MS and PCa were analyzed.

resultsCompared to PCa, PV and Gleason scores increased and PSA levels decreased in PCa with MS group (all P<0.001). PV was positively correlated with BMI, FINS, and HOMA-IR (r=0.459, P<0.001; r=0.421, P=0.001; r=0.490, P=0.003, respectively), and was negatively correlated with HDL-C (r=-0.378, P<0.001). PSA level in MS patients was negatively correlated with BMI (r=-0.125, P<0.001), TG (r=-0.256, P<0.001) and FBG (r=-0.183, P<0.001). Large PV, high TG, low HDL-C, high LDL-C, and high FBG were associated with an increased risk of PCa (P<0.001, OR=1.10, 95%CI: 1.009-3.304; P<0.001, OR=2.91, 95%CI: 1.612-5.241; P<0.001, OR=7.89, 95%CI: 3.908-15.947; P=0.015, OR=1.87, 95%CI: 1.131-3.077; P=0.004, OR=2.17, 95%CI: 1.280-3.686, respectively). MS-related indicators showed a positive relationship with PCa (P<0.001, OR=1.90, 95%CI: 1.107-10.629).

conclusionsOur study shows that MS and metabolic indicators are associated with an increased risk of PCa, pointing to a novel therapeutic approach for PCa management.

Indexed as

AgedAged, 80 and overAsian PeopleBlood GlucoseBody Mass IndexCase-Control StudiesChinaCholesterol, HDLCholesterol, LDLHumansInsulin ResistanceKallikreinsLogistic ModelsMaleMetabolic SyndromeMiddle AgedBlood GlucoseCholesterol, HDLCholesterol, LDLKallikreinsKLK3 protein, humanProstate-Specific AntigenTriglycerides

Identifiers

PMID26275075
PMCPMC4548704
OpenAlexW2261090184

What OpenQuestion holds

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Registered trials

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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.