Evidence map›Paper›PMID 22455797›Full record

SynthesisClinical pharmacokinetics2012

Body weight-dependent pharmacokinetics of busulfan in paediatric haematopoietic stem cell transplantation patients: towards individualized dosing.

Imke H Bartelink, Jaap J Boelens, Robbert G M Bredius, Antoine C G Egberts, Chenguang Wang, Marc B Bierings, Peter J Shaw, Christa E Nath, George Hempel, Juliette Zwaveling and 2 more

Abstract readMeta-AnalysisMulticenter Study
PubMed Publisher
In one paragraph

Synthesis in Clinical pharmacokinetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
6.8field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 139 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article

8 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

12 authors at 7 institutions in 3 countries.

Imke H BartelinkDepartment of Clinical Pharmacy, University Medical Center Utrecht, Utrecht, the Netherlands. i.h.bartelink@gmail.com
Jaap J Boelens
Robbert G M Bredius
Antoine C G Egberts
Chenguang Wang
Marc B Bierings
Peter J Shaw
Christa E Nath
George Hempel
Juliette Zwaveling
Meindert Danhof
Catherijne A J Knibbe
Children's Hospital at Westmead · AULeiden University · NLLeiden University Medical Center · NLUniversity Medical Center Utrecht · NLUtrecht University · NLCentre for Human Drug Research · NLUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe wide variability in pharmacokinetics of busulfan in children is one factor influencing outcomes such as toxicity and event-free survival. A meta-analysis was conducted to describe the pharmacokinetics of busulfan in patients from 0.1 to 26 years of age, elucidate patient characteristics that explain the variability in exposure between patients and optimize dosing accordingly. PATIENTS AND

methodsData were collected from 245 consecutive patients (from 3 to 100 kg) who underwent haematopoietic stem cell transplantation (HSCT) in four participating centres. The inter-patient, inter-occasion and residual variability in the pharmacokinetics of busulfan were estimated with a population analysis using the nonlinear mixed-effects modelling software NONMEM VI. Covariates were selected on the basis of their known or theoretical relationships with busulfan pharmacokinetics and were plotted independently against the individual pharmacokinetic parameters and the weighted residuals of the model without covariates to visualize relations. Potential covariates were formally tested in the model.

resultsIn a two-compartment model, body weight was the most predictive covariate for clearance, volume of distribution and inter-compartmental clearance and explained 65%, 75% and 40% of the observed variability, respectively. The relationship between body weight and clearance was characterized best using an allometric equation with a scaling exponent that changed with body weight from 1.2 in neonates to 0.55 in young adults. This implies that an increase in body weight in neonates results in a larger increase in busulfan clearance than an increase in body weight in older children or adults. Clearance on the first day was 12% higher than that of subsequent days (p < 0.001). Inter-occasion variability on clearance was 15% between the 4 days. Based on the final pharmacokinetic-model, an individualized dosing nomogram was developed.

conclusionsThe model-based individual dosing nomogram is expected to result in predictive busulfan exposures in patients ranging between 3 and 65 kg and thereby to a safer and more effective conditioning regimen for HSCT in children.

Indexed as

Models, BiologicalAdolescentAdultAge FactorsBody WeightBusulfanChildChild, PreschoolDose-Response Relationship, DrugFemaleHematopoietic Stem Cell TransplantationHumansInfantInfant, NewbornMaleMyeloablative AgonistsBusulfanMyeloablative Agonists

Identifiers

PMID22455797
OpenAlexW1519900432

What OpenQuestion holds

Textmetadata
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.