Evidence map›Paper›PMID 40871007›Full record

ReviewPharmaceutics2025

Advances in Transdermal Delivery Systems for Treating Androgenetic Alopecia.

Shilong Xu, Lian Zhou, Haodong Zhao, Siwen Li

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2025. 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. Review
  3. Review
  4. Review
  5. 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

4 authors.

Shilong XuState Key Laboratory of Natural Medicines, Department of Biomedical Engineering, School of Engineering, China Pharmaceutical University, No. 639 Longmian Avenue, Jiangning District, Nanjing 211198, China.
Lian ZhouState Key Laboratory of Natural Medicines, Department of Biomedical Engineering, School of Engineering, China Pharmaceutical University, No. 639 Longmian Avenue, Jiangning District, Nanjing 211198, China.
Haodong ZhaoNMPA Key Laboratory for Impurity Profile of Chemical Drugs, Jiangsu Institute for Drug Control, Nanjing 210019, China.
Siwen LiState Key Laboratory of Natural Medicines, Department of Biomedical Engineering, School of Engineering, China Pharmaceutical University, No. 639 Longmian Avenue, Jiangning District, Nanjing 211198, China.

Funding

National Natural Science Foundation of China 8222036, 81971743, 81827803, 81729006, 81727804, 91859204, 81729002, and 82230070
6 · The paper itself

Abstract

Androgenetic alopecia (AGA) is the most prevalent form of alopecia areata. Traditional treatment options, including minoxidil, finasteride, and hair transplantation, have their limitations, such as skin irritation, systemic side effects, invasiveness, and high costs. The transdermal drug delivery system (TDDS) offers an innovative approach for treating AGA by administering medications through the skin to achieve localized and efficient delivery while overcoming the skin barrier. This review systematically explores the application of TDDS in AGA treatment, highlighting emerging technologies such as microneedles (MNs), liposomes, ionic liquids (ILs), nanostructured lipid carriers (NLCs), and transporters (TFs). It analyzes the underlying mechanisms that enhance drug penetration through hair follicles. Finally, this review presents a forward-looking perspective on the future use of TDDS in the management of AGA, aiming to provide insights and references for designing effective transdermal drug delivery systems for this condition.

Indexed as

androgenetic alopeciananocarrierstransdermal drug delivery system

Identifiers

PMID40871007
PMCPMC12389719

What Socratic holds

Textmetadata
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 Socratic graph.