Evidence map›Paper›PMID 33883647›Full record

ArticleScientific reports2021

Development and evaluation of physiologically based pharmacokinetic drug-disease models for predicting captopril pharmacokinetics in chronic diseases.

Muhammad F Rasool, Shazia Ali, Sundus Khalid, Ramsha Khalid, Abdul Majeed, Imran Imran, Hamid Saeed, Muhammad Usman, Mohsin Ali, Amer S Alali and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

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  16. A physiologically based pharmacokinetic model of cefepime to predict its pharmacokinetics in healthy, pediatric and disease populations.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
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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

15 authors at 6 institutions in 2 countries.

Muhammad F RasoolDepartment of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan. fawadrasool@bzu.edu.pk.
Shazia AliDepartment of Pharmaceutics, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Sundus KhalidDepartment of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Ramsha KhalidDepartment of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Abdul MajeedDepartment of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Imran ImranDepartment of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Hamid SaeedUniversity College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, 54000, Pakistan.
Muhammad UsmanInstitute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Mohsin AliDepartment of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Government College University, Faisalabad, 38000, Pakistan.
Amer S AlaliDepartment of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Abdullah F AlAsmariDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Nemat AliDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Ali Mohammed AsiriDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Fawaz AlasmariDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Faleh AlqahtaniDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia. Afaleh@ksu.edu.sa.
Bahauddin Zakariya University · PKKing Saud University · SAGovernment College University, Faisalabad · PKPrince Sattam Bin Abdulaziz University · SAUniversity of the Punjab · PKUniversity of Veterinary and Animal Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement in the processing speeds of computing machines has facilitated the development of complex physiologically based pharmacokinetic (PBPK) models. These PBPK models can incorporate disease-specific data and could be used to predict pharmacokinetics (PK) of administered drugs in different chronic conditions. The present study aimed to develop and evaluate PBPK drug-disease models for captopril after incorporating relevant pathophysiological changes occurring in adult chronic kidney disease (CKD) and chronic heart failure (CHF) populations. The population-based PBPK simulator Simcyp was used as a modeling and simulation platform. The visual predictive checks and mean observed/predicted ratios (ratio

Indexed as

AdolescentAdultAgedAged, 80 and overCaptoprilChronic DiseaseFemaleHeart FailureHumansInjections, IntravenousMaleMiddle AgedModels, BiologicalPharmacokineticsRenal Insufficiency, ChronicReproducibility of ResultsCaptopril

Identifiers

PMID33883647
PMCPMC8060346
OpenAlexW3153959510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.