Evidence map›Paper›PMID 19843655›Full record

ArticleJournal of clinical pharmacology2010

Population pharmacokinetics of perphenazine in schizophrenia patients from CATIE: impact of race and smoking.

Yuyan Jin, Bruce G Pollock, Kim Coley, Del Miller, Stephen R Marder, Jeff Florian, Lon Schneider, Jeffrey Lieberman, Margaret Kirshner, Robert R Bies

Abstract readControlled Clinical TrialMulticenter Study
In one paragraph

Article in Journal of clinical pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Perphenazine for schizophrenia.The Cochrane database of systematic reviews · 2015
    Pooled it
  2. Ziprasidone versus other atypical antipsychotics for schizophrenia.The Cochrane database of systematic reviews · 2009
    Pooled it
  3. Effect of Varenicline on Tardive Dyskinesia: A Pilot Study.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021
    Article
  4. Article
  5. Nicotine and Opioids: a Call for Co-treatment as the Standard of Care.The journal of behavioral health services & research · 2020
    Review
  6. Article
  7. Review of serum prolactin levels as an antipsychotic-response biomarker.Open access journal of translational medicine & research · 2018
    Article
  8. Article
  9. 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

10 authors at 6 institutions in 2 countries.

Yuyan JinDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 46202, USA.
Bruce G Pollock
Kim Coley
Del Miller
Stephen R Marder
Jeff Florian
Lon Schneider
Jeffrey Lieberman
Margaret Kirshner
Robert R Bies
University of Pittsburgh · USColumbia University Irving Medical Center · USIndiana University – Purdue University Indianapolis · USUniversity of California, Los Angeles · USUniversity of Iowa · USUniversity of Southern California · US

Funding

VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARANDA, MARIA P. · 1985 to 2019
$41.0M
PUBLIC EDUCATION CAMPAIGN ON DEPRESSION DARTN01MH090001 · NIMH · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · 1989 to 2003
$10.4M
MHCRC FOR THE STUDY OF LATE LIFE MOOD DISORDERSP30MH052247 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REYNOLDS, CHARLES F · 1995 to 2004
$7.5M
Atypical Antipsychotics: Determinants of ConcentrationR01MH064173 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI POLLOCK, BRUCE G · 2001 to 2004
$1.1M
Geropsychopharmacology: Enhancing Benefit, Reducing RiskK24MH065416 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI POLLOCK, BRUCE G · 2002 to 2006
$616k
NIA NIH HHS P50 AG005142NIMH NIH HHS K24 MH065416NIMH NIH HHS MH052247NIMH NIH HHS MH064173NIMH NIH HHS MH065416NIMH NIH HHS N01MH090001NIMH NIH HHS P30 MH052247NIMH NIH HHS R01 MH064173
6 · The paper itself

Abstract

The goal of the study was to characterize population pharmacokinetics (PPK) for perphenazine in patients with schizophrenia from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE). Patients (n = 156) received 8 to 32 mg of perphenazine daily for 14 to 600 days for a total of 421 plasma concentrations measurements. Nonlinear mixed-effects modeling was used to determine PPK characteristics of perphenazine. One- and 2-compartment models with various random effect implementations and mixture distributions were evaluated. Objective function values and goodness-of-fit plots were used as model selection criteria. Age, weight, sex, race, smoking, and concomitant medications were evaluated as covariates. A 1-compartment linear model with proportional error best described the data. The population mean clearance and volume of distribution for perphenazine were 483 L/h and 18 200 L, respectively. Race and smoking status had significant impacts on perphenazine clearance estimates. In addition, the estimated population mean clearance was 48% higher in nonsmoking African Americans than in nonsmoking other races (512 L/h vs 346 L/h). Active smokers eliminated perphenazine 159 L/h faster than nonsmokers in each race. Clearances for smoking African Americans versus smokers in other races were 671 L/h versus 505 L/h, respectively.

Indexed as

Racial GroupsAdolescentAdultAgedAge FactorsAntipsychotic AgentsBody WeightDose-Response Relationship, DrugFemaleHumansMaleMiddle AgedNonlinear DynamicsPerphenazineSchizophreniaSex FactorsAntipsychotic AgentsPerphenazine

Identifiers

PMID19843655
PMCPMC3648660
OpenAlexW2045228294

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.