Evidence map›Paper›PMID 26923095›Full record

ArticleCancer medicine2016

Association between baseline serum glucose, triglycerides and total cholesterol, and prostate cancer risk categories.

Rhonda Arthur, Henrik Møller, Hans Garmo, Lars Holmberg, Pår Stattin, Håkan Malmstrom, Mats Lambe, Niklas Hammar, Göran Walldius, David Robinson and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 13% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Pooled it
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  9. Hyperglycemia and microRNAs in prostate cancer.Prostate cancer and prostatic diseases · 2025
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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

12 authors at 4 institutions in 2 countries.

Rhonda ArthurDivision of Cancer Studies, Cancer Epidemiology Group, King's College London, London, United Kingdom.
Henrik MøllerDivision of Cancer Studies, Cancer Epidemiology Group, King's College London, London, United Kingdom.
Hans GarmoDivision of Cancer Studies, Cancer Epidemiology Group, King's College London, London, United Kingdom.
Lars HolmbergDivision of Cancer Studies, Cancer Epidemiology Group, King's College London, London, United Kingdom.
Pår StattinDepartments of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Faculty of Medicine, Uppsala, Sweden.
Håkan MalmstromUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Mats LambeDepartment of Surgical Sciences, Uppsala University Hospital, Uppsala, Sweden.
Niklas HammarUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Göran WalldiusDepartment of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
David RobinsonDepartments of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Faculty of Medicine, Uppsala, Sweden.
Ingmar JungnerDepartment of Clinical Epidemiological Unit, Karolinska Institutet and CALAB Research, Stockholm, Sweden.
Mieke Van HemelrijckDivision of Cancer Studies, Cancer Epidemiology Group, King's College London, London, United Kingdom.
Karolinska Institutet · SELondon Cancer · GBUmeå University · SEUppsala University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lifestyle-related risk factors such as hyperglycemia and dyslipidemia have been associated with several cancers. However, studies exploring their link with prostate cancer (PCa) clinicopathological characteristics are sparse and inconclusive. Here, we investigated the associations between serum metabolic markers and PCa clinicopathological characteristics. The study comprised 14,294 men from the Swedish Apolipoprotein MOrtality RISk (AMORIS) cohort who were diagnosed with PCa between 1996 and 2011. Univariate and multivariable logistic regression were used to investigate the relation between glucose, triglycerides and total cholesterol and PCa risk categories, PSA, Gleason score, and T-stage. Mean age at time of PCa diagnosis was 69 years. Men with glucose levels >6.9 mmol/L tend to have PSA<4 μg/L, while those with glucose levels of 5.6-6.9 mmol/L had a greater odds of PSA>20 μg/L compared to PSA 4.0-9.9 μg/L. Hypertriglyceridemia was also positively associated with PSA>20 μg/L. Hyperglycemic men had a greater odds of intermediate- and high-grade PCa and advanced stage or metastatic PCa. Similarly, hypertriglyceridemia was positively associated with high-grade PCa. There was also a trend toward an increased odds of intermediate risk localized PCa and advanced stage PCa among men with hypertriglyceridemia. Total cholesterol did not have any statistically significant association with any of the outcomes studied. Our findings suggest that high serum levels of glucose and triglycerides may influence PCa aggressiveness and severity. Further investigation on the role of markers of glucose and lipid metabolism in influencing PCa aggressiveness and severity is needed as this may help define important targets for intervention.

Indexed as

Blood GlucoseAgedCholesterolComorbidityHumansMaleMiddle AgedNeoplasm GradingNeoplasm StagingPopulation SurveillanceProstatic NeoplasmsRegistriesRiskSwedenTriglyceridesBlood GlucoseCholesterolTriglyceridesGlucoseprostate cancertotal cholesteroltriglycerides

Identifiers

PMID26923095
PMCPMC4924389
OpenAlexW2276208943

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.