Evidence map›Paper›PMID 39240454›Full record

ArticleDrug delivery and translational research2025

Design and evaluation of a drug-in-adhesive patch for the transdermal delivery of ketoprofen.

Ran Bai, Miaomiao Yang, Xiaoyang Sun, Yanqin Hu, Kaiwen Chen, Xiaoyue Cui, Yinghua Sun, Tianhong Zhang

Abstract read
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In one paragraph

Article in Drug delivery and translational research, 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

8 authors.

Ran BaiWuya College of Innovation, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, 110016, China.
Miaomiao YangWuya College of Innovation, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, 110016, China.
Xiaoyang SunWuya College of Innovation, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, 110016, China.
Yanqin HuWuya College of Innovation, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, 110016, China.
Kaiwen ChenSchool of pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, 110016, China.
Xiaoyue CuiSchool of pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, 110016, China.
Yinghua SunWuya College of Innovation, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, 110016, China. sunyinghua77@aliyun.com.ORCID 0009-0001-0071-2708
Tianhong ZhangWuya College of Innovation, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, 110016, China. Zhangth1058@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to design a drug-in-adhesive (DIA) patch for transdermal delivery of ketoprofen, using hot-melt pressure-sensitive adhesive as the matrix of the patch. The adhesion properties and skin permeation of the patches were examined, and in vivo pharmacokinetics and tissue distribution of patches were evaluated. The novel ketoprofen patch with high adhesion was prepared by holt-melt method. The effects of different percentages of L-menthol on in vitro permeation were screened, 3% was added as the amount of permeation enhancer and the 24 h cumulative permeation amount(277.46 ± 15.58 µg/cm

Indexed as

AdhesivesAnti-Inflammatory Agents, Non-SteroidalKetoprofenTransdermal PatchAdministration, CutaneousAnimalsDrug Delivery SystemsMaleRatsRats, Sprague-DawleySkinSkin AbsorptionTissue DistributionAdhesivesAnti-Inflammatory Agents, Non-SteroidalKetoprofenIn vitro permeationKetoprofen patchPharmacokineticTissue distribution

Identifiers

PMID39240454

What OpenQuestion holds

Textmetadata
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.