Evidence map›Paper›PMID 37513857›Full record

ArticlePharmaceuticals (Basel, Switzerland)2023

A 5-Year Study of Antiseizure Medications (ASMs) Monitoring in Patients with Neuropsychiatric Disorders in an Italian Clinical Center.

Letizia Biso, Marco Carli, Shivakumar Kolachalam, Giorgio Monticelli, Pasquale Fabio Calabrò, Antonello di Paolo, Filippo Sean Giorgi, Guido Bocci, Marco Scarselli

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 6 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

9 authors at 2 institutions in 2 countries.

Letizia BisoDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-8401-4615
Marco CarliDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-1447-4947
Shivakumar KolachalamAseptic Pharmacy, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London W6 8RF, UK.
Giorgio MonticelliDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
Pasquale Fabio CalabròDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
Antonello di PaoloDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-2661-6183
Filippo Sean GiorgiDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-2940-8128
Guido BocciDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-7120-9141
Marco ScarselliDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
University of Pisa · ITImperial College Healthcare NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite receiving appropriate antiseizure medications (ASMs), a relevant percentage of neuropsychiatric patients do not benefit from this approach, and one reason is subtherapeutic ASMs plasma concentration (C(p)) due to improper drug adherence, interindividual pharmacokinetic differences, or metabolic interactions among different drugs. For these reasons, therapeutic drug monitoring (TDM) by measuring ASMs C(p) is an effective tool that improves pharmacological therapies in clinical practice. Based on these premises, in the present real-world study, we analyzed the C(p) of the most used ASMs in diverse medical conditions, which were assayed during the years 2018-2022 at the University Hospital of Pisa, including about 24,000 samples. This population was largely heterogeneous, and our database did not contain clinical information about the patients. The most used ASMs were Valproate (VPA: 54.5%) and Levetiracetam (LEV: 18.6%), followed by Oxcarbazepine (OxCBZ: 8.3%) and Carbamazepine (CBZ: 7.2%), whereas the associations LEV/VPA, Ethosuximide (ESM)/VPA, and CBZ/VPA were the most frequently proposed. In about 2/3 of assays, ASMs C(p) was in range, except for VPA, which was underdosed in almost half of the samples. Importantly, toxic levels of ASMs C(p) were found very rarely. For VPA, there was a decrease of mean C(p) across ages, from adolescents to older patients, while the C(p) of LEV, CBZ, OxCBZ, and Topiramate (TPM) showed a slight tendency to increase. When we compared females and males, we found that for VPA, the average age was higher for females, whereas women taking Lamotrigine (LTG) and OxCBZ were younger than men. Then, comparing ASMs used in neurologic and psychiatric disorders, based on the request form, it emerged that the mean C(p) of CBZ, OxCBZ, and LTG on samples collected in the Psychiatric Unit was lower compared to the Neurology and Child Neuropsychiatry Units. Finally, the ASMs subjected to multiple dosing starting from an initial subtherapeutic C(p) increased their level at different time points within a year, reaching the reference range for some of them. In conclusion, the present study suggests that TDM is widely applied to monitor ASMs C(p), finding many of them within the reference range, as a demonstration of its utility in clinical practice.

Indexed as

antiseizure medicationslevetiracetamsubtherapeutictherapeutic drug monitoringvalproic acid

Identifiers

PMID37513857
PMCPMC10383891
OpenAlexW4382786928

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.