Evidence map›Paper›PMID 30729360›Full record

ArticleCancer causes & control : CCC2019

Pre-diagnostic carbohydrate intake and treatment failure after radical prostatectomy for early-stage prostate cancer.

Kyeezu Kim, Angela Kong, Robert C Flanigan, Marcus L Quek, Courtney M P Hollowell, Patricia P Vidal, Jefferey Branch, Leslie A Dean, Virgilia Macias, Andre A Kajadacsy-Balla and 4 more

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Kyeezu KimDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago School of Public Health, Chicago, IL, USA.
Angela KongDepartment of Kinesiology and Nutrition, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, USA.
Robert C FlaniganDepartment of Urology, Stritch School of Medicine, Loyola University Medical Center, Maywood, IL, USA.
Marcus L QuekDepartment of Urology, Stritch School of Medicine, Loyola University Medical Center, Maywood, IL, USA.
Courtney M P HollowellDivision of Urology, Stroger, Cook County Health and Hospitals System, Chicago, IL, USA.
Patricia P VidalDivision of Urology, Stroger, Cook County Health and Hospitals System, Chicago, IL, USA.
Jefferey BranchUrology Service, Edward Hines, Jr. VA Hospital, Hines, IL, USA.
Leslie A DeanDepartment of Urology, University of Miami Miller School of Medicine, Miami, FL, USA.
Virgilia MaciasDepartment of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, IL, USA.
Andre A Kajadacsy-BallaDepartment of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, IL, USA.
Marian L FitzgibbonInstitute for Health Research and Policy, University of Illinois at Chicago School of Public Health, Chicago, IL, USA.
Daisy CintronInstitute for Health Research and Policy, University of Illinois at Chicago School of Public Health, Chicago, IL, USA.
Li LiuDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago School of Public Health, Chicago, IL, USA.
Vincent L FreemanDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago School of Public Health, Chicago, IL, USA. freem981@uic.edu.ORCID http://orcid.org/0000-0002-7246-5873

Funding

Adiposity and Outcomes of Clinically Localized Prostate CancerR01CA129140 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI FREEMAN, VINCENT L · 2009 to 2013
$3.0M
NCI NIH HHS R01 CA129140NIH/NCI 5R01CA129140
6 · The paper itself

Abstract

purposeAn association between dietary carbohydrate intake and prostate cancer (PCa) prognosis is biologically plausible, but data are scarce. This prospective cohort study examined the relation between pre-diagnostic carbohydrate intake and treatment failure following radical prostatectomy for clinically early-stage PCa.

methodsWe identified 205 men awaiting radical prostatectomy and assessed their usual dietary intake of carbohydrates using the 110-item Block food frequency questionnaire. We also evaluated carbohydrate intake quality using a score based on the consumption of sugars relative to fiber, fat, and protein. Logistic regression analyzed their associations with the odds of treatment failure, defined as a detectable and rising serum prostate-specific antigen (PSA) or receiving androgen deprivation therapy (ADT) within 2 years.

resultsSucrose consumption was associated with a higher odds and fiber consumption with a lower odds of ADT after accounting for age, race/ethnicity, body mass index, and tumor characteristics (odds ratio [OR] (95% confidence interval [CI]) 5.68 (1.71, 18.9) for 3rd vs. 1st sucrose tertile and 0.88 (0.81, 0.96) per gram of fiber/day, respectively). Increasing carbohydrate intake quality also associated with a lower odds of ADT (OR (95% CI) 0.78 (0.66, 0.92) per unit increase in score, range 0-12).

conclusionsPre-diagnostic dietary carbohydrate intake composition and quality influence the risk of primary treatment failure for early-stage PCa. Future studies incorporating molecular aspects of carbohydrate metabolism could clarify possible underlying mechanisms.

Indexed as

AgedAndrogen AntagonistsBody Mass IndexCohort StudiesDietary CarbohydratesHumansLogistic ModelsMaleMiddle AgedOdds RatioPrognosisProspective StudiesProstatectomyProstate-Specific AntigenProstatic NeoplasmsTreatment FailureAndrogen AntagonistsDietary CarbohydratesProstate-Specific AntigenDietary carbohydrateInsulin sensitivityProstate cancer prognosisTreatment failure

Identifiers

PMID30729360
PMCPMC6436977

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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.