Evidence map›Paper›PMID 17324246›Full record

Trial reportBritish journal of clinical pharmacology2007

Population pharmacokinetic modelling of NS2330 (tesofensine) and its major metabolite in patients with Alzheimer's disease.

Thorsten Lehr, Alexander Staab, Christiane Tillmann, Dirk Trommeshauser, Andreas Raschig, Hans Guenter Schaefer, Charlotte Kloft

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in British journal of clinical pharmacology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. New acetylcholinesterase inhibitors for Alzheimer's disease.International journal of Alzheimer's disease · 2012
    Article
  7. Substrate and drug binding sites in LeuT.Current opinion in structural biology · 2010
    Review
  8. Article
  9. Article
  10. 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

7 authors at 3 institutions in 2 countries.

Thorsten LehrFreie Universitaet Berlin, Institute of Pharmacy, Department of Clinical Pharmacy, Kelchstrasse 31, 12169 Berlin, Germany.
Alexander Staab
Christiane Tillmann
Dirk Trommeshauser
Andreas Raschig
Hans Guenter Schaefer
Charlotte Kloft
Boehringer Ingelheim (Germany) · DEFreie Universität Berlin · DEBoehringer Ingelheim (Australia) · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo develop a population pharmacokinetic model for NS2330 and its major metabolite M1 based on data from a 14 week proof of concept study in patients with Alzheimer's disease, and to identify covariates that might influence the pharmacokinetic characteristics of the drug and/or its metabolite.

methodsPlasma data from 320 subjects undergoing multiple oral dosing, and consisting of 1969 NS2330 and 1714 metabolite concentrations were fitted simultaneously using NONMEM.

resultsPlasma concentration-time profiles of NS2330 and M1 were best described by one-compartment models with first-order elimination for both compounds. Absorption of NS2330 was best modelled by a first-order process. Low apparent clearances together with large apparent volumes of distribution resulted in long half-lives of 234 h (NS2330) and 374 h (M1). The covariate analysis identified weight, sex, CL(CR), BMI and age as influencing the pharmacokinetics of NS2330 and/or M1. However, simulations performed revealed that only CL(CR) and sex had a significant effect on the steady-state plasma concentration-time profiles. Females with a creatinine clearance of 35.6 ml min(-1) showed a 62% increased exposure compared with males without renal impairment. The robustness and accuracy of the model were demonstrated by the successful predictivity of an external dataset.

conclusionsA descriptive, robust and predictive model for NS2330 and its M1 metabolite was developed. Important covariates influencing pharmacokinetics were identified, which might guide the further development of NS2330 and optimize its long-term use in the treatment of Alzheimer's disease.

Indexed as

AdultAgedAged, 80 and overAlzheimer DiseaseBridged Bicyclo Compounds, HeterocyclicClinical Trials, Phase II as TopicCreatinineDouble-Blind MethodFemaleHumansMaleMiddle AgedModels, BiologicalSex FactorsBridged Bicyclo Compounds, HeterocyclicCreatinineTesofensine

Identifiers

PMID17324246
PMCPMC2000606
OpenAlexW2054181706

What OpenQuestion holds

Textmetadata
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.