Evidence map›Paper›PMID 39666302›Full record

ArticleJournal of food and drug analysis2022

The study of distribution of ingested terbinafine on skin with ambient ionization tandem mass spectrometry.

Yi-Tzu Cho, Hung Su, Ching-Ying Wu, Jingyueh Jeng, Chi-Wei Lee, Deng-Chyang Wu, Tiao-Lai Huang, Jentaie Shiea

Abstract read
In one paragraph

Article in Journal of food and drug analysis, 2022. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. No skin off your back: the sampling and extraction of sebum for metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2023
    Review
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

8 authors.

Yi-Tzu ChoDepartment of Cosmetic Applications and Management, Yuh-Ing Junior College of Health Care & Management, Kaohsiung 807634, Taiwan.
Hung SuDepartment of Chemistry, National Sun Yat-Sen University, Kaohsiung 804201, Taiwan.
Ching-Ying WuDepartment of Dermatology, College of Medicine, Kaohsiung Medical University, Kaohsiung 807378, Taiwan.
Jingyueh JengDepartment of Medicinal Chemistry, Chia Nan University of Pharmacy and Science, Tainan 717301, Taiwan.
Chi-Wei LeeInstitute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 804201, Taiwan.
Deng-Chyang WuDivision of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807378, Taiwan.
Tiao-Lai HuangDepartment of Psychiatry, Chang Gung Memorial Hospital-Kaohsiung Medical Center and Chang Gung University College of Medicine, No. 123, Ta-pei Rd., Niaosung District, Kaohsiung 833401, Taiwan.
Jentaie ShieaDepartment of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung 807378, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to develop an efficient and non-invasive strategy for monitoring of drugs and their metabolites via human skin. Probe sampling was combined with thermal desorption-electrospray ionization tandem mass spectrometry (TD-ESI/MS/MS) to characterize trace terbinafine, which was secreted on patient's skin after ingesting terbinafine tablets. The terbinafine ion signals were directly detected in the samples collected from different skin regions and the signals were monitored for 8 weeks. The detection and location of terbinafine via the skin suggest that the methods are useful in rapidly and noninvasively collecting the molecular information of the ingested drug on skin for pharmacokinetic studies.

Identifiers

PMID39666302
PMCPMC9635902

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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.