Evidence map›Paper›PMID 40426909›Full record

ReviewBiomedicines2025

Advancing Antidepressive Agents: Drug Discovery and Polymer-Based Drug Delivery Systems for Improved Treatment Outcome.

Yufei Zhang, Zengyi Song, Hongxi Zhang, Haijiao Lin, Pu Xu, Zijia Li, Qingyun He, Binbin Wei

Abstract readReview
In one paragraph

Review in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yufei ZhangDepartment of Pharmacy, Jinqiu Hospital of Liaoning Province, Shenyang 110122, China.
Zengyi SongSchool of Pharmacy, China Medical University, Shenyang 110122, China.
Hongxi ZhangSchool of Pharmacy, China Medical University, Shenyang 110122, China.
Haijiao LinSchool of Pharmacy, China Medical University, Shenyang 110122, China.
Pu XuSchool of Pharmacy, China Medical University, Shenyang 110122, China.
Zijia LiSchool of Pharmacy, China Medical University, Shenyang 110122, China.
Qingyun HeSchool of Pharmacy, China Medical University, Shenyang 110122, China.
Binbin WeiSchool of Pharmacy, China Medical University, Shenyang 110122, China.ORCID 0000-0002-8355-5428

Funding

National Science Foundation of China No. 81703519Shenyang City Science and Technology Program No: 21-108-9-12Shenyang City Science and Technology Project 24-213-3-45
6 · The paper itself

Abstract

Depressive disorder (a subclass of mental disorders) is characterized by persistent affective symptoms. Without timely therapeutic intervention, it leads to clinical deterioration manifested as reduced quality of life and may increase suicide risk in severe cases. Given its complex etiology, intertwined with intrinsic factors such as genetics and environment, and impacted by various issues such as first-pass effect and blood-brain barrier, the therapeutic efficacy of many antidepressant medications is limited for patients. Therefore, by delving into the exploration of novel antidepressant drugs and biomaterials, this review aims to offer fresh perspectives that may facilitate the discovery of innovative antidepressant medications and enhance their therapeutic outcomes. Notably, the review highlights polymers' crucial role in enhancing antidepressants' pharmacological efficacy and pharmacokinetic properties by optimizing their parameters, and they will undoubtedly become powerful tools in improving antidepressive outcomes in future research.

Indexed as

antidepressant therapycausedepressionmechanismpolymer

Identifiers

PMID40426909
PMCPMC12109423

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.