Evidence map›Paper›PMID 39697476›Full record

ReviewSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2024

Model-informed drug discovery and development approaches to inform clinical trial design and regulatory decisions: A primer for the MENA region.

Mohammed S Alasmari, Salwa Albusaysi, Marwa Elhefnawy, Ali M Ali, Khalid Altigani, Mohammed Almoslem, Mohammed Alharbi, Jahad Alghamdi, Abdullah Alsultan

Abstract readReview
In one paragraph

Review in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Scoping review of the role of pharmacometrics in model-informed drug development.Journal of pharmacokinetics and pharmacodynamics · 2025
    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

9 authors.

Mohammed S AlasmariDepartment of Pharmaceutical Services, Security Forces Hospital, Riyadh 11481, Saudi Arabia.
Salwa AlbusaysiDepartment of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.
Marwa ElhefnawyPumasAI, Baltimore, USA.
Ali M AliIfakara Health Institute, Tanzania.
Khalid AltiganiDepartment of Clinical Pharmacy, College of Pharmacy, Najran University, Saudi Arabia.
Mohammed AlmoslemCertara Drug Development Solutions, Certara, USA.
Mohammed AlharbiSaudi Food and Drug Authority, Saudi Arabia.
Jahad AlghamdiSaudi Food and Drug Authority, Saudi Arabia.
Abdullah AlsultanDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Model-Informed Drug Discovery and Development (MID3) represents a transformative approach in pharmaceutical research, integrating quantitative models to inform and optimize decision-making throughout the drug development process. This review explores the current applications, challenges, and future prospects of MID3 within the Middle East and North Africa (MENA) region. By leveraging local data and advanced computational techniques, MID3 has the potential to significantly enhance the efficiency and success rates of drug development tailored to regional health priorities. We discussed successful case studies of applying MID3 at different phases of drug development and clinical trials. Furthermore, we emphasized the critical need for MENA countries to embrace MID3 by investing in workforce training, aligning regulatory frameworks, and fostering collaborative research initiatives. This call to action underscores the importance of a robust MID3 ecosystem, urging policymakers, academic institutions, and industry stakeholders to prioritize and support its integration into the MENA region's healthcare.

Indexed as

Clinical trialsDrug developmentMENA regionPBPKPharmacometricsPK/PDPopulation pharmacokineticsQuantitative pharmacology

Identifiers

PMID39697476
PMCPMC11653594

What Socratic 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 Socratic graph.