Evidence map›Paper›PMID 35314857›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022

Establishing 24-Hour Urinary Sucrose Plus Fructose as a Predictive Biomarker for Total Sugars Intake.

Laurence S Freedman, Victor Kipnis, Douglas Midthune, John Commins, Brian Barrett, Virag Sagi-Kiss, Susana A Palma-Duran, Carol S Johnston, Diane M O'Brien, Natasha Tasevska

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Laurence S FreedmanGertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel.ORCID 0000-0002-6767-7900
Victor KipnisDivision of Cancer Prevention, NCI, Bethesda, Maryland.
Douglas MidthuneDivision of Cancer Prevention, NCI, Bethesda, Maryland.
John ComminsInformation Management Services, Inc., Rockville, Maryland.
Brian BarrettInformation Management Services, Inc., Rockville, Maryland.
Virag Sagi-KissCollege of Health Solutions, Arizona State University, Phoenix, Arizona.
Susana A Palma-DuranCollege of Health Solutions, Arizona State University, Phoenix, Arizona.ORCID 0000-0002-4210-3855
Carol S JohnstonCollege of Health Solutions, Arizona State University, Phoenix, Arizona.
Diane M O'BrienInstitute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, Alaska.
Natasha TasevskaCollege of Health Solutions, Arizona State University, Phoenix, Arizona.ORCID 0000-0003-2828-6533
Arizona State University · USCenter for Cancer Research · USInformation Management Services · USSheba Medical Center · ILUniversity of Alaska Fairbanks · US

Funding

Investigation of Biomarkers for Sugars Intake - A Controlled Feeding StudyU01CA197902 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI TASEVSKA, NATASHA · 2018 to 2025
$3.0M
NCI NIH HHS U01 CA197902
6 · The paper itself

Abstract

backgroundTwenty-four-hour urinary sucrose and fructose (24uSF) has been studied as a biomarker of total sugars intake in two feeding studies conducted in the United Kingdom (UK) and Arizona (AZ). We compare the biomarker performance in these populations, testing whether it meets the criteria for a predictive biomarker.

methodsThe UK and AZ feeding studies included 13 and 98 participants, respectively, aged 18 to 70 years, consuming their usual diet under controlled conditions. Linear mixed models relating 24uSF to total sugars and personal characteristics were developed in each study and compared. The AZ calibrated biomarker equation was applied to generate biomarker-estimated total sugars intake in UK participants. Stability of the model across AZ study subpopulations was also examined.

resultsModel coefficients were similar between the two studies [e.g., log(total sugars): UK 0.99, AZ 1.03, P = 0.67], as was the ratio of calibrated biomarker person-specific bias to between-person variance (UK 0.32, AZ 0.25, P = 0.68). The AZ equation estimated UK log(total sugar intakes) with mean squared prediction error of 0.27, similar to the AZ study estimate (0.28). Within the AZ study, the regression coefficients of log(total sugars) were similar across age, gender, and body mass index subpopulations.

conclusionsSimilar model coefficients in the two studies and good prediction of UK sugar intakes by the AZ equation suggest that 24uSF meets the criteria for a predictive biomarker. Testing the biomarker performance in other populations is advisable. IMPACT: Applications of the 24uSF biomarker will enable improved assessment of the role of sugars intake in risk of chronic disease, including cancer. See related commentary by Prentice, p. 1151.

Indexed as

FructoseSucroseBiomarkersBody Mass IndexHumansUnited KingdomBiomarkersFructoseSucrose

Identifiers

PMID35314857
PMCPMC9167729
OpenAlexW4220888780

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.