Evidence map›Paper›PMID 28028771›Full record

ArticlePharmaceutical research2017

Modeling the Effect of the Selective S1P

Dominik Lott, Andreas Krause, Christian A Seemayer, Daniel S Strasser, Jasper Dingemanse, Thorsten Lehr

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Trial
  2. Single-dose of LC51-0255, a selective S1PClinical and translational science · 2022
    Trial
  3. Trial
  4. Trial
  5. Modelling pharmacokinetics and pharmacodynamics of the selective S1PBritish journal of clinical pharmacology · 2020
    Trial
  6. Trial
  7. Review
  8. Article
  9. 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

6 authors.

Dominik LottDepartment of Clinical Pharmacy, Saarland University, Saarbrücken, Germany. Dominik.Lott@actelion.com.
Andreas KrauseDepartment of Clinical Pharmacology, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, CH-4123, Allschwil, Switzerland.
Christian A SeemayerDepartment of Global Clinical Science and Epidemiology, Actelion Pharmaceuticals Ltd, Allschwil, Switzerland.
Daniel S StrasserDepartment of Translational Science Biology, Actelion Pharmaceuticals Ltd, Allschwil, Switzerland.
Jasper DingemanseDepartment of Clinical Pharmacology, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, CH-4123, Allschwil, Switzerland.
Thorsten LehrDepartment of Clinical Pharmacy, Saarland University, Saarbrücken, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis analysis aimed at describing the effect of the selective sphingosine-1-phosphate receptor 1 modulator ponesimod on lymphocyte subsets in peripheral blood. As the involvement of different lymphocyte subsets varies among different autoimmune diseases, characterizing the effect of ponesimod on these may be beneficial in better understanding treatment effects.

methodsThree phase 1 clinical studies in healthy human subjects were pooled. Non-linear mixed-effects modeling techniques were used to study the effect of ponesimod on lymphocyte subsets such as B cells, T helper cells, T cytotoxic cells, and natural killer cells in a qualitative and quantitative manner.

resultsIndirect-response I

conclusionThese first models for ponesimod on the level of lymphocyte subsets offer a valuable tool for the analysis and interpretation of results from ponesimod trials in autoimmune diseases.

Indexed as

AdolescentAdultB-LymphocytesCircadian RhythmComputer SimulationDose-Response Relationship, DrugFemaleHumansLymphocyte CountLymphocyte SubsetsMaleMiddle AgedModels, BiologicalReceptors, LysosphingolipidThiazolesT-LymphocytesponesimodReceptors, LysosphingolipidThiazolesB cellslymphocyte subsetsPK/PD modelingsphingosine-1-phosphate receptorT cells

Identifiers

What OpenQuestion holds

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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.