Evidence map›Paper›PMID 29744858›Full record

ArticleInternational journal of cancer2018

Heterogeneity in risk of prostate cancer: A Swedish population-based cohort study of competing risks and Type 2 diabetes mellitus.

Christel Häggström, Mieke Van Hemelrijck, Hans Garmo, David Robinson, Pär Stattin, Mark Rowley, Anthony C C Coolen, Lars Holmberg

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Associations between Diabetes Mellitus and Selected Cancers.International journal of molecular sciences · 2024
    Review
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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

8 authors at 3 institutions in 2 countries.

Christel HäggströmDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-6808-4405
Mieke Van HemelrijckKing's College London, School of Cancer and Pharmaceutical Sciences, Translational Oncology & Urology Research (TOUR), London, United Kingdom.
Hans GarmoKing's College London, School of Cancer and Pharmaceutical Sciences, Translational Oncology & Urology Research (TOUR), London, United Kingdom.
David RobinsonDepartment of Urology, Ryhov Hospital, Jönköping, Sweden.
Pär StattinDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Mark RowleyInstitute for Mathematical and Molecular Biomedicine, King's College London, London, United Kingdom.
Anthony C C CoolenInstitute for Mathematical and Molecular Biomedicine, King's College London, London, United Kingdom.
Lars HolmbergDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
King's College London · GBUppsala University · SERyhov Hospital Jönköping · SE

Funding

Medical Research Council MC_PC_15031
6 · The paper itself

Abstract

Most previous studies of prostate cancer have not taken into account that men in the studied populations are also at risk of competing event, and that these men may have different susceptibility to prostate cancer risk. The aim of our study was to investigate heterogeneity in risk of prostate cancer, using a recently developed latent class regression method for competing risks. We further aimed to elucidate the association between Type 2 diabetes mellitus (T2DM) and prostate cancer risk, and to compare the results with conventional methods for survival analysis. We analysed the risk of prostate cancer in 126,482 men from the comparison cohort of the Prostate Cancer Data base Sweden (PCBaSe) 3.0. During a mean follow-up of 6 years 6,036 men were diagnosed with prostate cancer and 22,393 men died. We detected heterogeneity in risk of prostate cancer with two distinct latent classes in the study population. The smaller class included 9% of the study population in which men had a higher risk of prostate cancer and the risk was stronger associated with class membership than any of the covariates included in the study. Moreover, we found no association between T2DM and risk of prostate cancer after removal of the effect of informative censoring due to competing risks. The recently developed latent class for competing risks method could be used to provide new insights in precision medicine with the target to classify individuals regarding different susceptibility to a particular disease, reaction to a risk factor or response to treatment.

Indexed as

AgedAged, 80 and overCohort StudiesDiabetes Mellitus, Type 2HumansMaleMiddle AgedProstatic NeoplasmsResearch DesignRisk FactorsSurvival AnalysisSwedencompeting riskslatent classprostate cancersurvival analysisType 2 diabetes mellitus

Identifiers

PMID29744858
PMCPMC6220128
OpenAlexW2801514388

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.