Evidence map›Paper›PMID 33623415›Full record

ArticlePharmacogenomics and personalized medicine2021

Optimization of Busulfan Dosing Regimen in Pediatric Patients Using a Population Pharmacokinetic Model Incorporating GST Mutations.

Jinjie Yuan, Ning Sun, Xinying Feng, Huan He, Dong Mei, Guanghua Zhu, Libo Zhao

Open access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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

7 authors at 3 institutions in 1 country.

Jinjie YuanClinical Research Center, Beijing Children's Hospital, Capital Medical University, Beijing, People's Republic of China.
Ning SunClinical Research Center, Beijing Children's Hospital, Capital Medical University, Beijing, People's Republic of China.
Xinying FengPhase I Clinical Trials Centre, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, People's Republic of China.
Huan HeClinical Research Center, Beijing Children's Hospital, Capital Medical University, Beijing, People's Republic of China.
Dong MeiClinical Research Center, Beijing Children's Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-0801-8702
Guanghua ZhuHematology Oncology Center, Beijing Children's Hospital, Capital Medical University, Beijing, People's Republic of China.
Libo ZhaoClinical Research Center, Beijing Children's Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-4968-6045
Capital Medical University · CNChina Pharmaceutical University · CNLuoyang Central Hospital Affiliated to Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to develop a novel busulfan dosing regimen, based on a population pharmacokinetic (PPK) model in Chinese children, and to achieve better area under the concentration-time curve (AUC) targeting. PATIENTS AND

methodsWe collected busulfan concentration-time samples from 69 children who received intravenous busulfan prior to allogeneic hematopoietic stem cell transplantation (allo-HSCT). A population pharmacokinetic model for busulfan was developed by nonlinear mixed effect modelling and was validated by an external dataset (n=14). A novel busulfan dosing regimen was developed through simulated patients, and has been verified on real patients. Limited sampling strategy (LSS) was established by Bayesian forecasting. Mean absolute prediction error (MAPE) and relative root mean Squared error (rRMSE) were calculated to evaluate predictive accuracy.

resultsA one-compartment model with first-order elimination best described the data.

conclusionWe recommend a

Indexed as

busulfanGST mutationsHSCTindividualized therapypopulation pharmacokinetics

Identifiers

PMID33623415
PMCPMC7894888
OpenAlexW3132230083

What OpenQuestion holds

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LicenceCC BY-NC
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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.