Evidence map›Paper›PMID 41909757›Full record

ReviewActa pharmaceutica Sinica. B2026

Metal-polyphenol network-based multifunctional materials for tumor therapy: Intrinsic properties, advances, and applications.

Chen Ma, Qian Xu, Lingwen Ding, Xinya Liu, Junkai Cheng, Yiman Wang, Lu Liu, Jiaqi Xian, Jian Gu, Phuong-Thao Tran and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

13 authors.

Chen MaCollege of Pharmacy and Food, Southwest Minzu University, Chengdu 610225, China.
Qian XuEngineering Center of Catalysis and Synthesis for Chiral Molecules, Department of Chemistry, Fudan University, Shanghai 200433, China.
Lingwen DingDepartment of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Xinya LiuCollege of Pharmacy and Food, Southwest Minzu University, Chengdu 610225, China.
Junkai ChengCollege of Pharmacy and Food, Southwest Minzu University, Chengdu 610225, China.
Yiman WangCollege of Pharmacy and Food, Southwest Minzu University, Chengdu 610225, China.
Lu LiuCollege of Pharmacy and Food, Southwest Minzu University, Chengdu 610225, China.
Jiaqi XianCollege of Pharmacy and Food, Southwest Minzu University, Chengdu 610225, China.
Jian GuCollege of Pharmacy and Food, Southwest Minzu University, Chengdu 610225, China.
Phuong-Thao TranDepartment of Pharmaceutical Chemistry, Hanoi University of Pharmacy, Hanoi 111000, Viet Nam.
Qin WangCollege of Pharmacy and Food, Southwest Minzu University, Chengdu 610225, China.
Shuai WangState Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China.
Fen-Er ChenEngineering Center of Catalysis and Synthesis for Chiral Molecules, Department of Chemistry, Fudan University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-polyphenol networks (MPNs), a novel class of nano-biomaterials, have recently emerged as promising candidates for tumor diagnosis and therapy due to their unique chemical tunability, excellent biocompatibility, and synergistic multifunctionality. Notably, MPNs can be synthesized

Indexed as

BiosafetyChemotherapyClinical translationMetal–polyphenol networkNano-biomaterialSelf-assemblyTumor therapeutic mechanismsTumor treatment

Identifiers

PMID41909757
PMCPMC13031068

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.