Evidence map›Paper›PMID 28782266›Full record

Trial reportCPT: pharmacometrics & systems pharmacology2017

Population Exposure-Response Modeling Supported Selection of Naloxegol Doses in Phase III Studies in Patients With Opioid-Induced Constipation.

Nidal Al-Huniti, Hongmei Xu, Diansong Zhou, Sergey Aksenov, Robert Fox, Khanh H Bui

Abstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in CPT: pharmacometrics & systems pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Population pharmacokinetic analysis of danvatirsen supporting flat dosing switch.Journal of pharmacokinetics and pharmacodynamics · 2019
    Trial
  2. 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

6 authors.

Nidal Al-HunitiAstraZeneca Pharmaceuticals, Waltham, Massachusetts, USA.
Hongmei XuAstraZeneca Pharmaceuticals, Waltham, Massachusetts, USA.
Diansong ZhouAstraZeneca Pharmaceuticals, Waltham, Massachusetts, USA.
Sergey AksenovAstraZeneca Pharmaceuticals, Waltham, Massachusetts, USA.
Robert FoxAstraZeneca Pharmaceuticals, Waltham, Massachusetts, USA.
Khanh H BuiAstraZeneca Pharmaceuticals, Waltham, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naloxegol is approved for the treatment of opioid-induced constipation (OIC) in adults with chronic noncancer pain. Population exposure-response models were developed using data from a phase II study comprising 185 adults with OIC. The weekly probability of response defined as having ≥3/week spontaneous bowel movements (SBMs) and ≥1 SBM/week increase over baseline was characterized by a longitudinal mixed-effects logistic regression dose-response model, and the probability of time to discontinuation was modeled with a Weibull distribution function. The predicted probability of SBM in a given week increased with increasing naloxegol dose. The model predicted that 12.5, 25, and 37.5 mg doses would produce median response rates of 40%, 50%, and 60%, and dropout rates of 13.3%, 16.7%, and 23.3%, respectively. The large overlap of predicted difference of the response rate between placebo and the 25 or 37.5 mg doses suggested little utility of using a 37.5 mg dose in phase III studies.

Indexed as

AlgorithmsAnalgesics, OpioidChronic PainConstipationDose-Response Relationship, DrugDouble-Blind MethodHumansModels, StatisticalMorphinansNarcotic AntagonistsPolyethylene GlycolsRegression AnalysisAnalgesics, OpioidMorphinansnaloxegolNarcotic AntagonistsPolyethylene Glycols

Identifiers

PMID28782266
PMCPMC5658281

What OpenQuestion holds

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LicenceCC BY-NC
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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.