Evidence map›Paper›PMID 34449087›Full record

ArticleBritish journal of clinical pharmacology2022

Population pharmacokinetics and dose optimisation of colecalciferol in paediatric patients with chronic kidney disease.

Mandy Wan, Bruce Green, Arpana Aprameya Iyengar, Nivedita Kamath, Hamsa V Reddy, Jyoti Sharma, Jyoti Singhal, Susan Uthup, Sudha Ekambaram, Sumithra Selvam and 3 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. The role of nutritional vitamin D in chronic kidney disease-mineral and bone disorder in children and adults with chronic kidney disease, on dialysis, and after kidney transplantation-a European consensus statement.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Hypervitaminosis D and nephrocalcinosis: too much of a good thing?Pediatric nephrology (Berlin, Germany) · 2022
    Article
  7. Article
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

13 authors at 8 institutions in 4 countries.

Mandy WanPharmacy Department, Guy's and St Thomas' NHS Foundation Trust, Evelina London Children's Hospital, London, UK.ORCID 0000-0001-8802-0425
Bruce GreenModel Answers R&D, Brisbane, Australia.ORCID 0000-0001-8622-4272
Arpana Aprameya IyengarDepartment of Paediatric Nephrology, St John's Medical College Hospital, Bengaluru, India.ORCID 0000-0001-7008-0788
Nivedita KamathDepartment of Paediatric Nephrology, St John's Medical College Hospital, Bengaluru, India.
Hamsa V ReddyDepartment of Paediatric Nephrology, St John's Medical College Hospital, Bengaluru, India.
Jyoti SharmaPaediatric renal service unit, King Edward Memorial Hospital, Pune, India.
Jyoti SinghalPaediatric renal service unit, King Edward Memorial Hospital, Pune, India.
Susan UthupDepartment of Paediatric Nephrology, Government Medical College, Trivandrum, India.
Sudha EkambaramDepartment of Paediatric, Mehta Multispecialty Hospital, Chennai, India.
Sumithra SelvamDepartment of Paediatric Nephrology, St John's Medical College Hospital, Bengaluru, India.
Greta RaitResearch Department of Primary Care and Population Health, University of College London, London, UK.ORCID 0000-0002-7216-7294
Rukshana ShroffRenal Unit, UCL Great Ormond Street Hospital Institute of Child Health, London, UK.ORCID 0000-0001-8501-1072
Jignesh P PatelInstitute of Pharmaceutical Science, King's College London, London, UK.ORCID 0000-0003-4197-8294
St.John's Medical College Hospital · INKing Edward Memorial Hospital Research Centre · INKing's College London · GBAxis Multispecialty Hospital · INDepartment of Health and Social Care · GBGovernment Medical College · INGreat Ormond Street Hospital · GBIP Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe prevalence of vitamin D deficiency is high in children with chronic kidney disease (CKD). However, current dosing recommendations are based on limited pharmacokinetic (PK) data. This study aimed to develop a population PK model of colecalciferol that can be used to optimise colecalciferol dosing in this population.

methodsData from 83 children with CKD were used to develop a population PK model using a nonlinear mixed effects modelling approach. Serum creatinine and type of kidney disease (glomerular vs. nonglomerular disease) were investigated as covariates, and optimal dosing was determined based on achieving and maintaining 25-hydroxyvitamin D (25(OH)D) concentration of 30-48 ng/mL.

resultsThe time course of 25(OH)D concentrations was best described by a 1-compartment model with the addition of a basal concentration parameter to reflect endogenous 25(OH)D production from diet and sun exposure. Colecalciferol showed wide between-subject variability in its PK, with total body weight scaled allometrically the only covariate included in the model. Model-based simulations showed that current dosing recommendations for colecalciferol can be optimised using a weight-based dosing strategy.

conclusionThis is the first study to describe the population PK of colecalciferol in children with CKD. PK model informed dosing is expected to improve the attainment of target 25(OH)D concentrations, while minimising the risk of overdosing.

Indexed as

Renal Insufficiency, ChronicVitamin D DeficiencyChildFemaleHumansMalechronic kidney diseasecolecalciferolpopulation pharmacokinetics

Identifiers

PMID34449087
PMCPMC9291800
OpenAlexW3194792892

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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.