Evidence map›Paper›PMID 24029650›Full record

ArticleBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2013

Effect of weight and maturation on busulfan clearance in infants and small children undergoing hematopoietic cell transplantation.

Radojka M Savic, Morton J Cowan, Christopher C Dvorak, Sung-Yun Pai, Luis Pereira, Imke H Bartelink, Jaap J Boelens, Robbert G M Bredius, Rob F Wynn, Geoff D E Cuvelier and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Lentiviral Gene Therapy for Artemis-Deficient SCID.The New England journal of medicine · 2022
    Trial
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  5. Trial
  6. Low Exposure Busulfan Conditioning to Achieve Sufficient Multilineage Chimerism in Patients with Severe Combined Immunodeficiency.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2019
    Trial
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  8. Trial
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
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  20. SCID newborn screening: What we've learned.The Journal of allergy and clinical immunology · 2021
    Review
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 10 institutions in 5 countries.

Radojka M SavicDepartment of Bioengineering and Therapeutics, University of California San Francisco, San Francisco, California.
Morton J Cowan
Christopher C Dvorak
Sung-Yun Pai
Luis Pereira
Imke H Bartelink
Jaap J Boelens
Robbert G M Bredius
Rob F Wynn
Geoff D E Cuvelier
Peter J Shaw
Mary A Slatter
Janel Long-Boyle
University of California, San Francisco · USUCSF Benioff Children's Hospital · USBoston Children's Hospital · USChildren's Hospital at Westmead · AUHarvard University · USLeiden University Medical Center · NLNewcastle upon Tyne Hospitals NHS Foundation Trust · GBRoyal Manchester Children's Hospital · GBUniversity Medical Center Utrecht · NLUniversity of Manitoba · CA

Funding

Training of Clinical Investigators in Primary Immune DeficienciesU54AI082973 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DVORAK, CHRISTOPHER CRAIG, HADDAD, ELIE · 2009 to 2023
$23.3M
Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2003 to 2019
$21.8M
Primary Immune Deficiency Treatment Consortium Annual Scientific MeetingR13AI094943 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PUCK, JENNIFER M. · 2011 to 2025
$239k
NIAID NIH HHS R13 AI094943NIAID NIH HHS U54 AI082973NIDDK NIH HHS P30 DK063720
6 · The paper itself

Abstract

Little information is currently available regarding the pharmacokinetics (PK) of busulfan in infants and small children to help guide decisions for safe and efficacious drug therapy. The objective of this study was to develop an algorithm for individualized dosing of i.v. busulfan in infants and children weighing ≤12 kg, that would achieve targeted exposure with the first dose of busulfan. Population PK modeling was conducted using intensive time-concentration data collected through the routine therapeutic drug monitoring of busulfan in 149 patients from 8 centers. Busulfan PK was well described by a 1-compartment base model with linear elimination. The important clinical covariates affecting busulfan PK were actual body weight and age. Based on our model, the predicted clearance of busulfan increases approximately 1.7-fold between 6 weeks to 2 years of life. For infants age <5 months, the model-predicted doses (mg/kg) required to achieve a therapeutic concentration at steady state of 600-900 ng/mL (area under the curve range, 900-1350 μM·min) were much lower compared with standard busulfan doses of 1.1 mg/kg. These results could help guide clinicians and inform better dosing decisions for busulfan in young infants and small children undergoing hematopoietic cell transplantation.

Indexed as

Antineoplastic Agents, AlkylatingBusulfanChild, PreschoolFemaleHematopoietic Stem Cell TransplantationHumansInfantInfant, NewbornMaleRetrospective StudiesTransplantation, AutologousTransplantation ConditioningAntineoplastic Agents, AlkylatingBusulfanBusulfanHematopoietic cell transplantationPediatricsPharmacokinetics

Identifiers

PMID24029650
PMCPMC3848313
OpenAlexW2033604768

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.