Evidence map›Paper›PMID 37296814›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Salivary Biomarkers of Anti-Epileptic Drugs: A Narrative Review.

Ioana-Andreea Chiș, Vlad Andrei, Alexandrina Muntean, Marioara Moldovan, Anca Ștefania Mesaroș, Mircea Cristian Dudescu, Aranka Ilea

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Saliva Lipids May Determine Alprazolam Toxicity: An FTIR Study.Iranian journal of pharmaceutical research : IJPR
    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

7 authors.

Ioana-Andreea ChișDepartment of Oral Rehabilitation, Faculty of Dentistry, University of Medicine and Pharmacy "Iuliu Hațieganu", 400012 Cluj-Napoca, Romania.
Vlad AndreiDepartment of Oral Rehabilitation, Faculty of Dentistry, University of Medicine and Pharmacy "Iuliu Hațieganu", 400012 Cluj-Napoca, Romania.
Alexandrina MunteanDepartment of Paediatric Dentistry, Faculty of Dentistry, University of Medicine and Pharmacy "Iuliu Hațieganu", 400012 Cluj-Napoca, Romania.
Marioara MoldovanDepartment of Polymer Composites, Institute of Chemistry "Raluca Ripan", University Babes-Bolyai, 400294 Cluj-Napoca, Romania.ORCID 0000-0001-9714-4809
Anca Ștefania MesaroșDepartment of Dental Propaedeutics and Aesthetics, University of Medicine and Pharmacy "Iuliu Hațieganu", 400012 Cluj-Napoca, Romania.ORCID 0000-0001-5439-7830
Mircea Cristian DudescuDepartment of Mechanical Engineering, Faculty of Automotive, Mechatronics and Mechanical Engineering, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania.ORCID 0000-0001-7743-4542
Aranka IleaDepartment of Oral Rehabilitation, Faculty of Dentistry, University of Medicine and Pharmacy "Iuliu Hațieganu", 400012 Cluj-Napoca, Romania.ORCID 0000-0002-1033-0906

Funding

National Research Council 73/2022National Research Council CNCS-UEFISCDI, PN-III-P4-PCE-2021-1140
6 · The paper itself

Abstract

Saliva is a biofluid that reflects general health and that can be collected in order to evaluate and determine various pathologies and treatments. Biomarker analysis through saliva sampling is an emerging method of accurately screening and diagnosing diseases. Anti-epileptic drugs (AEDs) are prescribed generally in seizure treatment. The dose-response relationship of AEDs is influenced by numerous factors and varies from patient to patient, hence the need for the careful supervision of drug intake. The therapeutic drug monitoring (TDM) of AEDs was traditionally performed through repeated blood withdrawals. Saliva sampling in order to determine and monitor AEDs is a novel, fast, low-cost and non-invasive approach. This narrative review focuses on the characteristics of various AEDs and the possibility of determining active plasma concentrations from saliva samples. Additionally, this study aims to highlight the significant correlations between AED blood, urine and oral fluid levels and the applicability of saliva TDM for AEDs. The study also focuses on emphasizing the applicability of saliva sampling for epileptic patients.

Indexed as

anti-epileptic drugsbiomarkersepilepsysalivaseizuretherapeutic drug monitoring

Identifiers

PMID37296814
PMCPMC10252412

What OpenQuestion holds

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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 OpenQuestion graph.