Evidence map›Paper›PMID 23396963›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2013

Metabolomics in epidemiology: sources of variability in metabolite measurements and implications.

Joshua N Sampson, Simina M Boca, Xiao Ou Shu, Rachael Z Stolzenberg-Solomon, Charles E Matthews, Ann W Hsing, Yu Ting Tan, Bu-Tian Ji, Wong-Ho Chow, Qiuyin Cai and 7 more

Open access · bronzeAbstract readComparative StudyMulticenter Study
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, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

127 citing papers in PubMed, 172 citations in OpenAlex.

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  17. Reproducibility of Plasma Metabolome over 1 Year in a Population-Based Cohort of Black Breast Cancer Survivors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  19. Physical activity, metabolites, and breast cancer associations.Journal of the National Cancer Institute · 2025
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67 more citing papers are in PubMed but not listed here.

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

17 authors at 6 institutions in 2 countries.

Joshua N SampsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 6120 Executive Blvd, Rockville, MD 20852, USA. joshua.sampson@nih.gov
Simina M Boca
Xiao Ou Shu
Rachael Z Stolzenberg-Solomon
Charles E Matthews
Ann W Hsing
Yu Ting Tan
Bu-Tian Ji
Wong-Ho Chow
Qiuyin Cai
Da Ke Liu
Gong Yang
Yong Bing Xiang
Wei Zheng
Rashmi Sinha
Amanda J Cross
Steven C Moore
Shanghai Cancer Institute · CNPalo Alto Institute · USCancer Prevention Institute of California · USStanford Cancer InstituteThe University of Texas MD Anderson Cancer Center · USNational Cancer Institute · US

Funding

Methods for Epidemiology StudiesZIACP010181 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBERT, PAUL · 2009 to 2025
$34.8M
Cancer Risk Reduction and Diet: A Cohort Study of WomenR37CA070867 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2009 to 2013
$4.7M
Intramural NIH HHS Z99 CA999999NCI NIH HHS R37 CA070867NCI NIH HHS R37CA070867NCI NIH HHS Y99 CA999999
6 · The paper itself

Abstract

backgroundMetabolite levels within an individual vary over time. This within-individual variability, coupled with technical variability, reduces the power for epidemiologic studies to detect associations with disease. Here, the authors assess the variability of a large subset of metabolites and evaluate the implications for epidemiologic studies.

methodsUsing liquid chromatography/mass spectrometry (LC/MS) and gas chromatography-mass spectroscopy (GC/MS) platforms, 385 metabolites were measured in 60 women at baseline and year-one of the Shanghai Physical Activity Study, and observed patterns were confirmed in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening study.

resultsAlthough the authors found high technical reliability (median intraclass correlation = 0.8), reliability over time within an individual was low. Taken together, variability in the assay and variability within the individual accounted for the majority of variability for 64% of metabolites. Given this, a metabolite would need, on average, a relative risk of 3 (comparing upper and lower quartiles of "usual" levels) or 2 (comparing quartiles of observed levels) to be detected in 38%, 74%, and 97% of studies including 500, 1,000, and 5,000 individuals. Age, gender, and fasting status factors, which are often of less interest in epidemiologic studies, were associated with 30%, 67%, and 34% of metabolites, respectively, but the associations were weak and explained only a small proportion of the total metabolite variability.

conclusionMetabolomics will require large, but feasible, sample sizes to detect the moderate effect sizes typical for epidemiologic studies. IMPACT: We offer guidelines for determining the sample sizes needed to conduct metabolomic studies in epidemiology.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesChromatography, GasChromatography, LiquidCohort StudiesEpidemiologic StudiesFemaleHumansMaleMass SpectrometryMetabolomicsMiddle AgedNeoplasmsBiomarkers, Tumor

Identifiers

PMID23396963
PMCPMC3617076
OpenAlexW2104132854

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.