Evidence map›Paper›PMID 11741219›Full record

ArticleAAPS pharmSci2000

Maturation and growth of renal function: dosing renally cleared drugs in children.

W L Hayton

Abstract read
In one paragraph

Article in AAPS pharmSci, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

70 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
  8. Article
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  11. Safety Assessment of Povidone K-12 in IV Acetaminophen in Pediatrics.The Canadian journal of hospital pharmacy · 2025
    Article
  12. Article
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  16. Development and application of a pediatric mechanistic kidney model.CPT: pharmacometrics & systems pharmacology · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Article

10 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

1 author.

W L HaytonDivision of Pharmaceutics, College of Pharmacy, The Ohio State University, 500 West 12th Ave., Columbus, OH 43210-1291, USA. hayton.1@osu.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A model was developed that characterized the maturation and growth of the renal function parameters (RFPs) glomerular filtration rate (GF), active tubular secretion (AS), and renal plasma flow (QR). Published RFP values were obtained from 63 healthy children between the ages of 2 days and 12 years. Maturation over time was assumed to be exponential from an immature (RFP(im)) to a mature (RFP(ma)) level; for growth, RFP(im) and RFP(ma) were assumed to follow the allometric equation: RFP (age, W) = aW(b)e(-kmat*age)+ cWb(1- e(-kmat*age)), where W is body weight, k(mat) is the maturation rate constant, b is the body weight exponent, and a and c are RFP(im) and RFP(ma) at unit W. The model-based equation was fitted to the age-W, RFP values by a nonlinear least-squares method. For GF, the maturation half-life was 7.9 months (90% maturation, 26 months), the body weight exponent was 0.662, and the ratio c/a (which reflected the magnitude of the maturation influence) was 3.1. For AS and QR, the maturation half-lives were about 3.8 months and the ratio c/a was about 1.8. For renally eliminated drugs, the model can be used to estimate dosing regimens that are based on the adult dosing regimen and the age and weight of the child.

Indexed as

PharmacokineticsAge FactorsBody ConstitutionChildChild, PreschoolGlomerular Filtration RateHumansInfantInfant, NewbornKidneyKidney TubulesModels, BiologicalPharmaceutical PreparationsRenal CirculationPharmaceutical Preparations

Identifiers

PMID11741219
PMCPMC2750998

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.