Evidence map›Paper›PMID 32793381›Full record

ArticleRegenerative biomaterials2020

High-drug-loading capacity of redox-activated biodegradable nanoplatform for active targeted delivery of chemotherapeutic drugs.

Hai Zhang, Jianqin Yan, Heng Mei, Shengsheng Cai, Sai Li, Furong Cheng, Jun Cao, Bin He

Open access · goldAbstract read
In one paragraph

Article in Regenerative biomaterials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Recent advances in regenerative biomaterials.Regenerative biomaterials · 2022
    Review
  3. 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

8 authors at 1 institution in 1 country.

Hai ZhangSchool of Chemical Engineering, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu 610065, China.
Jianqin YanNational Engineering Research Center for Biomaterials, Sichuan University, No.29 Wangjiang Road, Chengdu 610064, China.
Heng MeiNational Engineering Research Center for Biomaterials, Sichuan University, No.29 Wangjiang Road, Chengdu 610064, China.
Shengsheng CaiNational Engineering Research Center for Biomaterials, Sichuan University, No.29 Wangjiang Road, Chengdu 610064, China.
Sai LiSchool of Chemical Engineering, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu 610065, China.
Furong ChengNational Engineering Research Center for Biomaterials, Sichuan University, No.29 Wangjiang Road, Chengdu 610064, China.
Jun CaoNational Engineering Research Center for Biomaterials, Sichuan University, No.29 Wangjiang Road, Chengdu 610064, China.
Bin HeNational Engineering Research Center for Biomaterials, Sichuan University, No.29 Wangjiang Road, Chengdu 610064, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Challenges associated with low-drug-loading capacity, lack of active targeting of tumor cells and unspecific drug release of nanocarriers synchronously plague the success of cancer therapy. Herein, we constructed active-targeting, redox-activated polymeric micelles (HPGssML) self-assembled aptamer-decorated, amphiphilic biodegradable poly (benzyl malolactonate-co-ε-caprolactone) copolymer with disulfide linkage and π-conjugated moieties. HPGssML with a homogenous spherical shape and nanosized diameter (∼150 nm) formed a low critical micellar concentration (10

Indexed as

active-targetinggood stabilityredox-activatedπ-conjugated moieties

Identifiers

PMID32793381
PMCPMC7414993
OpenAlexW3041932104

What OpenQuestion 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 OpenQuestion graph.