Evidence map›Paper›PMID 29521683›Full record

Trial reportEuropean journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)2019

Body mass index and prostate cancer risk in the Carotene and Retinol Efficacy Trial.

Stephanie E Bonn, Matt J Barnett, Mark Thornquist, Gary Goodman, Marian L Neuhouser

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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 4 institutions in 3 countries.

Stephanie E BonnDepartment of Medicine, Clinical Epidemiology Unit, Karolinska Institutet, Eugeniahemmet T2, Stockholm, Sweden.
Matt J BarnettDivision of Public Health Sciences, Cancer Prevention Program, Fred Hutchinson Cancer Research Center.
Mark ThornquistDivision of Public Health Sciences, Cancer Prevention Program, Fred Hutchinson Cancer Research Center.
Gary GoodmanDivision of Public Health Sciences, Cancer Prevention Program, Fred Hutchinson Cancer Research Center.
Marian L NeuhouserDivision of Public Health Sciences, Cancer Prevention Program, Fred Hutchinson Cancer Research Center.
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZACancer Research Center · USFred Hutch Cancer Center · USGTx (United States) · US

Funding

THE CAROTENE AND RETINOL EFFICACY TRIAL (CARET)U01CA063673 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GOODMAN, GARY E · 1994 to 2006
$13.0M
Infrastructure Support and Pilot Tissue Collection for the CARET BiorepositoryU01CA167462 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NEUHOUSER, MARIAN L · 2018 to 2022
$2.9M
INFRASRUCTURE SUPPORT AND DATA ENHANCEMENTS FOR THE CARET BIOREPOSITORYUM1CA167462 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GOODMAN, GARY E · 2013 to 2017
$2.8M
Diet and Genetic Risks for Prostate CancerR01CA096789 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NEUHOUSER, MARIAN L · 2003 to 2005
$1.7M
NCI NIH HHS R01 CA096789NCI NIH HHS U01 CA063673NCI NIH HHS U01 CA167462NCI NIH HHS UM1 CA167462
6 · The paper itself

Abstract

The aim of this study was to investigate the association between BMI (kg/m) and prostate cancer risk. BMI is a modifiable lifestyle factor and may provide a unique opportunity for primary prevention of prostate cancer if a causal association exists. Data from 11 886 men from the Carotene and Retinol Efficacy Trial (CARET, 1985-1996 with active follow-up through 2005) comprising current and former heavy smokers were analyzed. CARET was a multicenter randomized, double-blind placebo-controlled chemoprevention trial testing daily supplementation of 30 mg β-carotene+25 000 IU retinyl palmitate for primary prevention of lung cancer. Prostate cancer was a secondary outcome. Nonaggressive disease was defined as Gleason less than 7 and stage I/II. Aggressive disease was primarily defined as at least Gleason 7 or stage III/IV, and secondarily by excluding Gleason 3+4 from the first definition. BMI was calculated from measured weight and height. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for cancer incidence between BMI categories. During follow-up, 883 men were diagnosed with prostate cancer. In the analysis of aggressive disease when Gleason 3+4 was excluded, men with a BMI of at least 35 kg/m had an increased rate of prostate cancer (HR: 1.80, 95% CI: 1.04-3.11, Ptrend=0.04) compared with men with BMI 18-24.9 kg/m. No other differences were seen in risk estimates for overall, nonaggressive or aggressive prostate cancer including all Gleason 7 cases, between BMI categories. Our results show an association between having a BMI of at least 35 kg/m and an increased risk of aggressive prostate cancer (not including Gleason 3+4 tumors), but do not support an association between BMI and risk of overall, aggressive disease including all Gleason 7, or nonaggressive prostate cancer within a population of current and former heavy smokers.

Indexed as

Body Mass IndexAgedbeta CaroteneDouble-Blind MethodFollow-Up StudiesHumansIncidenceLung NeoplasmsMaleMiddle AgedPrognosisProstatic NeoplasmsProvitaminsRisk FactorsUnited StatesVitamin Abeta CaroteneProvitaminsVitamin AVitamins

Identifiers

PMID29521683
PMCPMC6128789
OpenAlexW2800092006

What OpenQuestion holds

Textmetadata
LicenceTDM
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.