Evidence map›Paper›PMID 41347168›Full record

ArticleFrontiers in pharmacology2025

Pharmacogenetic associations of

Olga A Korczeniewska, Scott Diehl, Abdul Basir Barmak, Tong Tong Wu, Eli Eliav, Szilvia Arany

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Olga A KorczeniewskaCenter for Orofacial and Temporomandibular Disorders, Department of Diagnostic Sciences, Rutgers School of Dental Medicine, Rutgers, The State University of New Jersey, Newark, NJ, United States.
Scott DiehlCenter for Orofacial and Temporomandibular Disorders, Department of Diagnostic Sciences, Rutgers School of Dental Medicine, Rutgers, The State University of New Jersey, Newark, NJ, United States.
Abdul Basir BarmakDepartment of Dentistry, Eastman Institute for Oral Health, University of Rochester, Rochester, NY, United States.
Tong Tong WuDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, United States.
Eli EliavDepartment of Dentistry, Eastman Institute for Oral Health, University of Rochester, Rochester, NY, United States.
Szilvia AranySpecialty Care, Eastman Institute for Oral Health, University of Rochester, Rochester, NY, United States.

Funding

Impact of Anticholinergic Medication on Salivary Function; Exploring Potential Genetic Markers for Dry MouthK23DE031021 · NIDCR · UNIVERSITY OF ROCHESTER · PI ARANY, SZILVIA · 2021 to 2025
$638k
NIDCR NIH HHS K23 DE031021
6 · The paper itself

Abstract

Introduction: Anticholinergic medications frequently cause hyposalivation (decreased saliva flow) through parasympathetic inhibition. This adverse effect is related to anticholinergic burden, reflecting the cumulative exposure to drugs with anticholinergic properties. Genetic variation in CYP genes, which encode drug-metabolizing enzymes, alters drug metabolism, potentially influencing systemic anticholinergic burden. This study investigated whether polymorphisms in the Methods: Adults taking at least one CYP substrate anticholinergic medication reporting xerostomia (oral dryness) were recruited. Anticholinergic burden was quantified using the Anticholinergic Drug Scale (ADS) and Serum Anticholinergic Activity (SAA). Salivary assessment included unstimulated whole saliva (UWS) and minor saliva flow (MSF). Participants were genotyped for functional variants of Results: Conclusion: Genetic variation in

Indexed as

anticholinergic burdenCYP450medicationspharmacogeneticssaliva flow

Identifiers

PMID41347168
PMCPMC12672415

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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.