Evidence map›Paper›PMID 37229260›Full record

ArticleFrontiers in pharmacology2023

Co-delivery of doxorubicin and hydroxychloroquine via chitosan/alginate nanoparticles for blocking autophagy and enhancing chemotherapy in breast cancer therapy.

Hui Zhang, Qingwen Xue, Zihan Zhou, Ningning He, Shangyong Li, Cheng Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Enhancing Anticancer Effects: Targeted Doxorubicin Delivery Using UiO-66-NHJournal of materials science. Materials in medicine · 2025
    Article
  6. Review
  7. Review
  8. Review
  9. Chitosan Nanoparticle-Mediated Delivery ofAntioxidants (Basel, Switzerland) · 2024
    Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. 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

6 authors at 2 institutions in 1 country.

Hui ZhangDepartment of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qingwen XueDepartment of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Zihan ZhouSchool of Basic Medicine, Qingdao Medical College, Qingdao University, Qingdao, China.
Ningning HeSchool of Basic Medicine, Qingdao Medical College, Qingdao University, Qingdao, China.
Shangyong LiSchool of Basic Medicine, Qingdao Medical College, Qingdao University, Qingdao, China.
Cheng ZhaoDepartment of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qingdao University · CNAffiliated Hospital of Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the most common malignancy in women worldwide, and the standard treatment is chemotherapy or radiotherapy after surgery. In order to reduce the side effects of chemotherapy, various nanoparticles (NPs) have been discovered and synthesized, which has become a promising treatment for BC. In this study, a co-delivery nanodelivery drug system (Co-NDDS) was designed and synthesized with 2,3-dimercaptosuccinic acid (DMSA) coated Fe

Indexed as

autophagybreast cancerco-deliverycombination chemotherapynanoparticles

Identifiers

PMID37229260
PMCPMC10203398
OpenAlexW4378348984

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.