Evidence map›Paper›PMID 25970509›Full record

ArticleTherapeutic drug monitoring2015

Describing Assay Precision-Reciprocal of Variance Is Correct, Not CV Percent: Its Use Should Significantly Improve Laboratory Performance.

Roger W Jelliffe, Alan Schumitzky, David Bayard, Xiaowei Fu, Michael Neely

Open access · greenAbstract read
In one paragraph

Article in Therapeutic drug monitoring, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
0.8field-weighted citation impact, top 22% 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

25 citing papers in PubMed, 48 citations in OpenAlex.

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  7. Caloric Restriction, the Menstrual Cycle, and Sleep in Women Without Obesity.The Journal of clinical endocrinology and metabolism · 2025
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  16. Validation and method comparison for a point-of-care lateral flow assay measuring equine whole blood insulin concentrations.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2023
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  19. Vancomycin Pharmacokinetics in a Pregnancy Rat Model.Antimicrobial agents and chemotherapy · 2022
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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 2 institutions in 1 country.

Roger W Jelliffe*Department of Pediatrics, University of Southern California Keck School of Medicine, Founder and Director Emeritus, Laboratory of Applied Pharmacokinetics, Children's Hospital of Los Angeles; †Department of Mathematics, University of Southern California; ‡Scientific Consultant, Laboratory of Applied Pharmacokinetics; §Department of Pathology, Biochemical Genetics, and Special Chemistry; and ¶Department of Pediatrics, Director, Laboratory of Applied Pharmacokinetics, Children's Hospital of Los Angeles, California.
Alan Schumitzky
David Bayard
Xiaowei Fu
Michael Neely
University of Southern California · USPediatrics and Genetics · US

Funding

Populaton Pharmacokinetic Modeling and Optimal ControlR01GM068968 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEELY, MICHAEL N. · 2003 to 2015
$3.9M
Optimizing Coordinated Combination Drug TherapyR01EB005803 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JELLIFFE, ROGER W. · 2006 to 2009
$2.2M
Mechanisms of Hypothermic Neuroprotection in NeonatesR01HD070996 · NICHD · JOHNS HOPKINS UNIVERSITY · PI NORTHINGTON, FRANCES J · 2012 to 2016
$1.7M
NIBIB NIH HHS EB005803NIBIB NIH HHS R01 EB005803NICHD NIH HHS HD070996NICHD NIH HHS R01 HD070996NIGMS NIH HHS GM068968NIGMS NIH HHS R01 GM068968
6 · The paper itself

Abstract

backgroundDescribing assay error as percent coefficient of variation (CV%) fails as measurements approach zero. Results are censored if below some arbitrarily chosen lower limit of quantification (LLOQ). CV% gives incorrect weighting to data obtained by therapeutic drug monitoring, with incorrect parameter values in the resulting pharmacokinetic models, and incorrect dosage regimens for patient care.

methodsCV% was compared with the reciprocal of the variance (1/var) of each assay measurement. This method has not been considered by the laboratory community. A simple description of assay standard deviation (SD) as a polynomial function of the assay measurement over its working range was developed, the reciprocal of the assay variance determined, and its results compared with CV%.

resultsCV% does not provide correct weighting of measured serum concentrations as required for optimal therapeutic drug monitoring. It does not permit optimally individualized models of the behavior of a drug in a patient, resulting in incorrect dosage regimens. The assay error polynomial described here, using 1/var, provides correct weighting of such data, all the way down to and including zero. There is no need to censor low results, and no need to set any arbitrary LLOQ.

conclusionsReciprocal of variance is the correct measure of assay precision and should replace CV%. The information is easily stored as an assay error polynomial. The laboratory can serve the medical community better. There is no longer any need for LLOQ, a significant improvement. Regulatory agencies should implement this more informed policy.

Indexed as

Data AccuracyBlood Chemical AnalysisDrug MonitoringHumansLimit of DetectionModels, Statistical

Identifiers

PMID25970509
PMCPMC4435937
OpenAlexW2416580215

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.