ArticleEpidemiology (Cambridge, Mass.)2019
Adjustment for Urinary Creatinine or Serum Lipids for Analytes Assayed in Pooled Specimens.
Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Pooling Biospecimens for Efficient Exposure Assessment When Using Case-Cohort Analysis in Cohort Studies.Environmental health perspectives · 2024Article
- Comparison of strategies to efficiently combine repeated urine samples in biomarker-based studies.Environmental research · 2021Article
- Urinary polycyclic aromatic hydrocarbon metabolites and mortality in the United States: A prospective analysis.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundFor case-control studies, pooling biologic specimens (cases with cases and controls with controls) can make it affordable to study a biomarker that is expensive to assay, while conserving quantities of archived specimens. For a fixed number of participants, pooling designs incur little loss of estimation precision, and they can even improve precision by enabling inclusion of more participants with the same number of assays. A limitation that has discouraged the use of these methods in environmental epidemiology, however, is the lack of a valid way to adjust for creatinine (urinary dilution) when assaying a biomarker in urine or to adjust for serum lipids when assaying a lipophilic biomarker in serum. We aimed to develop practical strategies to accomplish those adjustments.
methodsOur strategies either differentially dilute specimens before pooling equal aliquots or, alternatively, pool deliberately unequal aliquots from each specimen, where prior determinations of the adjustment factor in each individual specimen inform their differential dilution or unequal aliquot volumes. In addition, we show how to modify these strategies if, instead of just adjusting for creatinine per se, one needs to account for factors that influence creatinine. We carry out simulations under several causal scenarios.
resultsWe demonstrate that the proposed strategies perform well in estimating the same adjusted association parameter as would be estimated by using individually-assayed specimens.
conclusionBy implementing the proposed strategies when forming specimen pools, one can greatly improve the efficiency of case-control studies that involve an expensive-to-assay exposure measured in biospecimens.
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Registered trials
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