Evidence map›Paper›PMID 37489004›Full record

ArticleBritish journal of clinical pharmacology2023

Non-compartmental and population pharmacokinetic analysis of dapsone in healthy NIGERIANS: A pilot study.

Olayinka A Kotila, David T Ajayi, Collen Masimirembwa, Roslyn Thelingwani, Abayomi Odetunde, Adeyinka G Falusi, Chinedum P Babalola

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Olayinka A KotilaDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria.ORCID 0000-0002-0674-9085
David T AjayiDepartment of Public Health, College of Basic Medical Sciences, Chrisland University, Abeokuta, Nigeria.
Collen MasimirembwaAfrican Institute for Biomedical Sciences and Technology (AiBST), Harare, Zimbabwe.
Roslyn ThelingwaniAfrican Institute for Biomedical Sciences and Technology (AiBST), Harare, Zimbabwe.ORCID 0000-0001-8396-6609
Abayomi OdetundeGenetic and Bioethics Unit, Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Nigeria.
Adeyinka G FalusiGenetic and Bioethics Unit, Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Nigeria.
Chinedum P BabalolaDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria.

Funding

Medical Education Partnership Initiative in NigeriaR24TW008878 · FIC · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI ADEWOLE, ISAAC F, OLALEYE, DAVID OLUFEMI · 2010 to 2015
$9.4M
International Partnership for Interdisciplinary Research TrainingD43TW009112 · FIC · UNIVERSITY OF CHICAGO · PI OLOPADE, CHRISTOPHER O, OLOPADE, OLUFUNMILAYO F. · 2012 to 2016
$1.1M
FIC NIH HHS D43 TW009112FIC NIH HHS R24 TW008878
6 · The paper itself

Abstract

Dapsone is employed for both non-dermatological and dermatological indications but with non-existent population pharmacokinetics (popPK) data in Nigerians. This study was therefore designed to develop a popPK model in Nigerians. Non-compartmental analysis and nonlinear mixed effects modelling were utilized for data analysis. Eleven participants administered 50 mg dapsone tablet were included in the analysis. Derived pharmacokinetic parameters were: C

Indexed as

DapsoneModels, BiologicalBody WeightHumansPilot ProjectsDapsoneinfectious diseasesmodelling and simulationpharmacometricstropical diseases

Identifiers

PMID37489004
PMCPMC10592123

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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.