Evidence map›Paper›PMID 38581021›Full record

ArticleBMC chemistry2024

Therapeutic drug monitoring of six contraindicated/co-administered drugs by simple and green RP-HPLC-PDA; application to spiked human plasma.

Nada Hesham, Maha A Hegazy, Hebatallah A Wagdy

Open access · goldAbstract read
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Article in BMC chemistry, 2024. 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
4.5field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Nada HeshamPharmaceutical Chemistry Department, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, 11837, Egypt.
Maha A HegazyDepartment of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Cairo University, Kasr-El Aini Street, Cairo, 11562, Egypt. maha.hegazy@pharma.cu.edu.eg.
Hebatallah A WagdyPharmaceutical Chemistry Department, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, 11837, Egypt.
British University in Egypt · EGCairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic drug monitoring is an important clinical testing of the drugs to monitor their concentrations in plasma in order to guarantee their optimal impact, and to avoid any side effects resulting from drug-drug interactions. A green reversed-phase high-performance liquid chromatographic method using a photodiode array detector (RP-HPLC-PDA) was developed for the simultaneous determination of three carbapenem antibiotics (Imipenem, ertapenem, and meropenem) with the co-formulated drug (cilastatin) and contraindicated drugs (probenecid and warfarin) in spiked human plasma. The separation was achieved at 25 °C using a gradient elution of a mixture of mobile phase A: methanol and mobile phase B: phosphate buffer (pH 3.0). The photodiode array detector was adjusted at 220 nm. Bioanalytical method validation was carried out as per the FDA guidelines, and the method showed good linearity ranges for the six drugs that included their Cmax levels along with low limits of quantification. Based on the results, the method was found to be accurate and precise; with high % recovery and good % RSD, respectively. The method was successfully applied to spiked human plasma, signifying a good potential to be implemented in future TDM studies of these drugs when co-administered together.

Indexed as

BioanalyticalChromatographic analysisCilastatinCmaxErtapenemGreen ChemistryImipenemMeropenemPharmacovigilanceProbenecidSpiked human plasmaTherapeutic drug monitoringWarfarin

Identifiers

PMID38581021
PMCPMC10998319
OpenAlexW4393975383

What OpenQuestion holds

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Registered trials

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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.