Evidence map›Paper›PMID 36925562›Full record

ReviewAdvances in pharmacological and pharmaceutical sciences2023

Pharmacometrics: A New Era of Pharmacotherapy and Drug Development in Low- and Middle-Income Countries.

Muhammad Usman, Sitaram Khadka, Mohammad Saleem, Huma Rasheed, Bimal Kunwar, Moshin Ali

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Review in Advances in pharmacological and pharmaceutical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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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

6 authors.

Muhammad UsmanInstitute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan.ORCID https://orcid.org/0000-0003-4854-1888
Sitaram KhadkaShree Birendra Hospital, Nepalese Army Institute of Health Sciences, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-0251-3817
Mohammad SaleemPunjab University College of Pharmacy, University of the Punjab, Lahore, Pakistan.ORCID https://orcid.org/0000-0001-5064-1584
Huma RasheedInstitute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Bimal KunwarNobel College, Pokhara University, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-4926-9337
Moshin AliFaculty of Pharmaceutical Sciences, Govt. College University, Faisalabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacotherapy, in many cases, is practiced at a suboptimal level of performance in low- and middle-income countries (LMICs) although stupendous amounts of data are available regularly. The process of drug development is time-consuming, costly, and is also associated with loads of hurdles related to the safety concerns of the compounds. This review was conducted with the objective to emphasize the role of pharmacometrics in pharmacotherapy and the drug development process in LMICs for rational drug therapy. Pharmacometrics is widely applied for the rational clinical pharmacokinetic (PK) practice through the population pharmacokinetic (popPK) modeling and physiologically based pharmacokinetic (PBPK) modeling approach. The scope of pharmacometrics practice is getting wider day by day with the untiring efforts of pharmacometricians. The basis for pharmacometrics analysis is the computer-based modeling and simulation of pharmacokinetics/pharmacodynamics (PK/PD) data supplemented by characterization of important aspects of drug safety and efficacy. Pharmacometrics can be considered an invaluable tool not only for new drug development with maximum safety and efficacy but also for dose optimization in clinical settings. Due to the convenience of using sparse and routine patient data, a significant advantage exists in this regard for LMICs which would otherwise lag behind in clinical trials.

Identifiers

PMID36925562
PMCPMC10014156

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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.