Evidence map›Paper›PMID 26392753›Full record

Trial reportDrug design, development and therapy2015

Exposure-response model for sibutramine and placebo: suggestion for application to long-term weight-control drug development.

Seunghoon Han, Sangil Jeon, Taegon Hong, Jongtae Lee, Soo Hyeon Bae, Wan-su Park, Gab-jin Park, Sunil Youn, Doo Yeon Jang, Kyung-Soo Kim and 1 more

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Drug design, development and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 2 institutions in 1 country.

Seunghoon HanDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Sangil JeonDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Taegon HongDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Jongtae LeeDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Soo Hyeon BaeDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Wan-su ParkDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Gab-jin ParkDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Sunil YounDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Doo Yeon JangDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Kyung-Soo KimDepartment of Family Medicine, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Dong-Seok YimDepartment of Pharmacology, College of Medicine, The Catholic University of Korea ; Pharmacometrics Institute for Practical Education and Training, Seoul St Mary's Hospital, Seochogu, Seoul, Republic of Korea.
Catholic University of Korea · KRSeoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No wholly successful weight-control drugs have been developed to date, despite the tremendous demand. We present an exposure-response model of sibutramine mesylate that can be applied during clinical development of other weight-control drugs. Additionally, we provide a model-based evaluation of sibutramine efficacy. Data from a double-blind, randomized, placebo-controlled, multicenter study were used (N=120). Subjects in the treatment arm were initially given 8.37 mg sibutramine base daily, and those who lost <2 kg after 4 weeks' treatment were escalated to 12.55 mg. The duration of treatment was 24 weeks. Drug concentration and body weight were measured predose and at 4 weeks, 8 weeks, and 24 weeks after treatment initiation. Exposure and response to sibutramine, including the placebo effect, were modeled using NONMEM 7.2. An asymptotic model approaching the final body weight was chosen to describe the time course of weight loss. Extent of weight loss was described successfully using a sigmoidal exposure-response relationship of the drug with a constant placebo effect in each individual. The placebo effect was influenced by subjects' sex and baseline body mass index. Maximal weight loss was predicted to occur around 1 year after treatment initiation. The difference in mean weight loss between the sibutramine (daily 12.55 mg) and placebo groups was predicted to be 4.5% in a simulation of 1 year of treatment, with considerable overlap of prediction intervals. Our exposure-response model, which included the placebo effect, is the first example of a quantitative model that can be used to predict the efficacy of weight-control drugs. Similar approaches can help decision-making during clinical development of novel weight-loss drugs.

Indexed as

AdultAnti-Obesity AgentsCyclobutanesDouble-Blind MethodFemaleHumansMaleMiddle AgedNonlinear DynamicsObesityTime FactorsWeight LossAnti-Obesity AgentsCyclobutanessibutramineobesitypharmacodynamicspharmacokineticsweight-reducing drugs

Identifiers

PMID26392753
PMCPMC4573071
OpenAlexW1429609777

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.