The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Mechanistic Basis of Using Body Size and Maturation to Predict Clearance in Humans
Abstract
Growth and development are two major aspects of children not readily apparent in adults. Clearance in the paediatric population should be investigated using models that describe size, maturation and organ function influences. Size is the primary covariate and although lean body weight is argued as a better measure than total body weight, the use of different fractions of fat mass to explain how pharmacokinetic parameters vary with body composition has been proposed. Allometric scaling using an empiric power exponent of 3/4 is superior to scaling using body surface area. The sigmoid hyperbolic model has proven useful to describe maturation. An extra parameter that describes asymmetry can be incorporated into this model. These descriptors are used to illustrate creatinine, morphine and paracetamol clearance in children. Simultaneous investigation of pooled GFR, paracetamol and morphine data enabled testing for shared common features of maturation processes. Results suggest that GFR matures before paracetamol or morphine clearance, consistent with phase II conjugation processes that convert xenobiotics to water soluble forms that can subsequently be eliminated from the body through the renal system. The use of such mechanistic approaches improves understanding of paediatric pharmacokinetics; improving dosing predictions and allowing projection in exploratory drug development.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Prediction of Creatinine Clearance from Serum Creatinine
Cockcroft, D. W., & Gault, H. (1976) · Nephron · doi:10.1159/000180580 · Cited by 15,309
The Ecological Implications of Body Size
Peters, R. H. (1983) · Cambridge University Press eBooks · doi:10.1017/cbo9780511608551 · Cited by 5,649
A General Model for the Origin of Allometric Scaling Laws in Biology
West, G. B., Brown, J. H., & Enquist, B. J. (1997) · Science · doi:10.1126/science.276.5309.122 · Cited by 5,016
A Flexible Growth Function for Empirical Use
RICHARDS, F. J. (1959) · Journal of Experimental Botany · doi:10.1093/jxb/10.2.290 · Cited by 4,146
Effects of Size and Temperature on Metabolic Rate
Gillooly, J. F., Brown, J. H., West, G. B., Savage, V. M., & Charnov, E. L. (2001) · Science · doi:10.1126/science.1061967 · Cited by 3,810
Assessing Kidney Function — Measured and Estimated Glomerular Filtration Rate
Stevens, L. A., Coresh, J., Greene, T., & Levey, A. S. (2006) · New England Journal of Medicine · doi:10.1056/nejmra054415 · Cited by 2,952
Developmental Pharmacology — Drug Disposition, Action, and Therapy in Infants and Children
Kearns, G. L., Abdel-Rahman, S. M., Alander, S. W., Blowey, D. L., Leeder, J. S., & Kauffman, R. E. (2003) · New England Journal of Medicine · doi:10.1056/nejmra035092 · Cited by 2,421
Schwartz, G. J., Haycock, G. B., Edelmann, C. M., & Spitzer, A. (1976) · Pediatrics · doi:10.1542/peds.58.2.259 · Cited by 2,379
Kleiber, M. (1932) · Hilgardia · doi:10.3733/hilg.v06n11p315 · Cited by 2,222
The possible effects of the aggregation of the molecules of haemoglobin on its dissociation curves
Hill, A. V., Hill, A. L., & Hill, A. V. (1910) · The Journal of Physiology · Cited by 2,181
Cited by
Dexmedetomidine in Children: Current Knowledge and Future Applications
Mason, K. P., & Lerman, J. (2011) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e31822b8629 · Cited by 278
Jones, A. K., Ngaimisi, E., Gopalakrishnan, M., Young, M. A., & Laffont, C. M. (2021) · Clinical Pharmacokinetics · doi:10.1007/s40262-020-00957-0 · Cited by 53
Janssen, J. M., Zwaan, C. M., Schellens, J. H. M., Beijnen, J. H., & Huitema, A. D. R. (2017) · European Journal of Cancer · doi:10.1016/j.ejca.2017.07.050 · Cited by 6
Metadata
- Authors
- Anderson, B. J., & Holford, N. H. G.
- Venue
- Drug Metabolism and Pharmacokinetics
- Published
- 2009
- Volume
- 24
- Issue
- 1
- Pages
- 25-36
- ISSN
- 1347-4367 (ISSN-L)
- OpenAlex
- W2020365240
- Cited by
- 494
- References
- 70
- FWCI
- 21.78
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mechanistic Basis of Using Body Size and Maturation to Predict Clearance in Humans. https://app.cochat.ai/papers/10.2133/dmpk.24.25
- The paper
- Anderson, B. J., & Holford, N. H. G. (2009). Mechanistic Basis of Using Body Size and Maturation to Predict Clearance in Humans. Drug Metabolism and Pharmacokinetics. https://doi.org/10.2133/dmpk.24.25
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.