Evidence map›Paper›PMID 39298000›Full record

ArticleEuropean journal of clinical pharmacology2024

The impact of age and renal function on the pharmacokinetics and protein binding characteristics of fludarabine in paediatric and adult patients undergoing allogeneic haematopoietic stem cell transplantation conditioning.

Christa E Nath, Sebastian P A Rosser, Kiran K Nath, Jason Chung, Stephen Larsen, John Gibson, Melissa Gabriel, Peter J Shaw, Steven J Keogh

Abstract read
In one paragraph

Article in European journal of clinical pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Frontiers in pharmacology · 2026
    Article
  6. Review
  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

9 authors.

Christa E NathDepartment of Biochemistry, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia. christa.nath@health.nsw.gov.au.ORCID http://orcid.org/0000-0002-1013-3646
Sebastian P A RosserDepartment of Biochemistry, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia.ORCID http://orcid.org/0000-0002-0203-4904
Kiran K NathSchool of Psychology, Western Sydney University, Kingswood, NSW, 2747, Australia.ORCID http://orcid.org/0009-0006-7442-1555
Jason ChungDepartment of Biochemistry, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia.
Stephen LarsenRoyal Prince Alfred Hospital, Camperdown, NSW, 2006, Australia.
John GibsonRoyal Prince Alfred Hospital, Camperdown, NSW, 2006, Australia.
Melissa GabrielThe Cancer Centre for Children, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia.
Peter J ShawThe Cancer Centre for Children, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia.
Steven J KeoghThe Cancer Centre for Children, The Children's Hospital at Westmead, Westmead, NSW, 2145, Australia.

Funding

Cancer Institute NSW 14/REG/1-03, 15/TRC/1-04University of Sydney Postgraduate Award
6 · The paper itself

Abstract

aimTo evaluate the population pharmacokinetics of unbound F-Ara-A (the circulating metabolite of fludarabine) in 211 patients (age range, 0.1-63.4 years) undergoing allogeneic haematopoietic stem cell transplantation conditioning.

methodsTotal (n = 2480) and unbound (n = 1403) F-Ara-A concentrations were measured in blood samples collected at timed intervals after fludarabine doses ranging from 10 to 50 mg/m

resultsThe base population mean estimates ± relative standard error (%RSE) for unbound clearance from the central compartment (CLu) and inter-compartmental clearances (Q2u, Q3u) were 3.42 ± 3%, 6.54 ± 24% and 1.47 ± 16% L/h/70 kg, respectively. The population mean estimates (%RSE) for the unbound volume of distribution into the central (V1u) and peripheral compartments (V2u, V3u) were 9.65 ± 8%, 8.17 ± 9% and 16.4 ± 10% L/70 kg, respectively, and that for fu was 0.877 ± 1%. Covariate model development involved differentiating F-Ara-A CLu into non-renal (1.81 ± 9% L/h/70 kg) and renal components (1.02 ± 9%*GFR L/h/70 kg). A sigmoidal maturation factor was applied to renal CLu, with population mean estimates for the Hill exponent and PMA at 50% mature of 2.97 ± 4% and 69.1 ± 8% weeks, respectively.

conclusionPatient age and GFR are predictors of unbound F-Ara-A CLu. This has the potential to impact dose requirements. Dose individualisation by target concentration intervention will be facilitated by this model once it is externally validated.

Indexed as

Glomerular Filtration RateHematopoietic Stem Cell TransplantationProtein BindingTransplantation ConditioningVidarabineAdolescentAdultAge FactorsChildChild, PreschoolFemaleHumansInfantKidneyMaleMiddle AgedfludarabineVidarabineFludarabinePopulation pharmacokineticsProtein binding

Identifiers

PMID39298000
PMCPMC11557628

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.