Evidence map›Paper›PMID 39290535›Full record

ArticleJournal of advanced pharmaceutical technology & research

Genetic analysis: Therapeutic drug monitoring of metformin and glimepiride on diabetic patients' plasma including genetic polymorphism.

Areen Ibrahim, Mohanad Odeh, Eyad Mallah, Luay Abu-Qatouseh, Ahmad Abu Awaad, Mohammad I A Ahmad, Amjad Shdifat, Soadad Saleh, Muwafaq Al Hyari, Ibrahim Khadra and 2 more

Abstract read
In one paragraph

Article in Journal of advanced pharmaceutical technology & research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Areen IbrahimFaculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan.
Mohanad OdehDepartment of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa, Jordan.
Eyad MallahFaculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan.
Luay Abu-QatousehFaculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan.
Ahmad Abu AwaadFaculty of Pharmacy, Jerash University, Jerash, Jordan.
Mohammad I A AhmadDepartment of Chemical Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal.
Amjad ShdifatDepartment of Medicine and Family Medicine, Faculty of Medicine, The Hashemite University, Zarqa, Jordan.
Soadad SalehStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, Scotland, United Kingdom.
Muwafaq Al HyariCenter of Diabetes and Endocrinology, Diabetic Center, Prince Hamza Hospital, Amman, Jordan.
Ibrahim KhadraStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, Scotland, United Kingdom.
Khaled W OmariCollege of Engineering and Technology, American University of The Middle East, Kuwait, Jordan.
Tawfiq ArafatJordan Center for Pharmaceutical Research, Amman, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a widespread disease that needs to be controlled. Therapeutic monitoring of drugs is very helpful in maintaining desirable doses. To study a correlation between the blood level of metformin (to a lesser extent, glimepiride) and genotyping (mainly the SULT1A1 genotype). Determine drug levels using a validated liquid chromatography-tandem mass spectrometry (LC-MS/MS) tool. A validated LC-MS/MS method was developed to determine metformin and glimepiride levels in human plasma. DNA extraction was performed using Jena Bioscience's Blood DNA preparation, in which a column kit was used to extract DNA for genetic polymorphism. The investigation was carried out using both medications in type 2 diabetes patients alongside the genetic polymorphism. One hundred and six patients were assessed. The prevalence of homozygosity for SULT1A1 and wild-type CYP2D6 * 4 were 72.6% and 73.6%, respectively. After adjustment for daily intake of metformin, three patients out of five with the highest levels of metformin had no homozygosity (SULT1A1 genotype). Statistically, variables that demonstrated an insignificant correlation with the level of metformin were body mass index (rs (87) = 0.32,

Indexed as

Diabetesdrugsmellituspharmacogenomicstherapeutic drug monitoring

Identifiers

PMID39290535
PMCPMC11404435

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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.