Evidence map›Paper›PMID 25557868›Full record

SynthesisCancer chemotherapy and pharmacology2015

Population pharmacokinetic analysis of oxaliplatin in adults and children identifies important covariates for dosing.

Mina Nikanjam, Clinton F Stewart, Chris H Takimoto, Timothy W Synold, Orren Beaty, Maryam Fouladi, Edmund V Capparelli

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Cancer chemotherapy and pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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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 6 institutions in 2 countries.

Mina NikanjamUniversity of California San Diego, 9500 Gilman Drive, MC 0657, La Jolla, CA, 92093-0657, USA.
Clinton F Stewart
Chris H Takimoto
Timothy W Synold
Orren Beaty
Maryam Fouladi
Edmund V Capparelli
University of California, San Diego · USCincinnati Children's Hospital Medical Center · USCity of Hope · USJanssen (United States) · USMission Children's Hospital · USSt. Jude Children's Research Hospital · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
PHASE I MOLECULAR AND CLINICAL PHARMACODYNAMIC TRIALSU01CA062505 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEWMAN, EDWARD M · 1994 to 2013
$8.1M
TRAINING & OUTREACH COREU54HD071600 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CAPPARELLI, EDMUND VINCENT · 2011 to 2015
$3.6M
NCI NIH HHS CA21765NCI NIH HHS P30 CA021765NCI NIH HHS P30 CA033572NCI NIH HHS U01 CA062505NCI NIH HHS U01CA062505NICHD NIH HHS U54 HD071600NICHD NIH HHS U54 HD071600-01
6 · The paper itself

Abstract

purposeTo characterize the determinants of variability for oxaliplatin pharmacokinetics including age, renal function, and hepatic function in children and adults.

methodsOxaliplatin pharmacokinetic data were combined from phase I and II clinical trials: three pediatric trials (Peds1-3) and two adult NCI organ dysfunction studies (Hepatic and Renal). A population pharmacokinetic model was developed utilizing platinum ultrafiltrate concentrations to characterize changes in oxaliplatin disposition with age and organ dysfunction along with other potential sources of oxaliplatin pharmacokinetic variability.

resultsA total of 1,508 concentrations from 186 children and adults were used in the study. The data were well described by a three-compartment model. Serum creatinine (SCR) was an independent predictor of clearance (CL) while age was an independent predictor of volume of distribution. Although age was a significant covariate on CL in the univariate analysis, age effects on CL were entirely accounted for by SCR. Gender, hepatic function, and race had no effect on CL or volume of distribution. Median CL values were 0.58 (Hepatic), 0.34 (Renal), 0.78 (Peds1), 0.74 (Peds2), and 0.81 (Peds3) (L/h/kg(0.75)). Monte Carlo simulations of the final model with 130 mg/m(2) yielded median AUC values of: 14.2 (2-6 years), 16.8 (6-12 years), 16.5 (12-18 years), and 17.3 (>18 years) (µg h/mL).

conclusionsRenal function had the greatest effect on CL with a small age effect seen on the distribution of oxaliplatin. Young pediatric patients had higher CL values than adults as a result of better renal function.

Indexed as

Models, BiologicalAdolescentAdultAgedAged, 80 and overAge FactorsAntineoplastic AgentsArea Under CurveChildChild, PreschoolClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicCreatinineDose-Response Relationship, DrugFemaleHumansAntineoplastic AgentsCreatinineOrganoplatinum CompoundsOxaliplatin

Identifiers

PMID25557868
PMCPMC4344382
OpenAlexW2030552813

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.