Evidence map›Paper›PMID 37771575›Full record

SynthesisFrontiers in bioengineering and biotechnology2023

Current perspectives and trends in nanoparticle drug delivery systems in breast cancer: bibliometric analysis and review.

Sheng Sun, Ye-Hui Wang, Xiang Gao, He-Yong Wang, Lu Zhang, Na Wang, Chun-Mei Li, Shao-Quan Xiong

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Sheng SunSichuan Integrative Medicine Hospital, Chengdu, China.
Ye-Hui Wang *Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xiang Gao *Chengdu University of Traditional Chinese Medicine, Chengdu, China.
He-Yong WangSichuan Integrative Medicine Hospital, Chengdu, China.
Lu ZhangChengdu University of Traditional Chinese Medicine, Chengdu, China.
Na WangSichuan Integrative Medicine Hospital, Chengdu, China.
Chun-Mei LiSichuan Integrative Medicine Hospital, Chengdu, China.
Shao-Quan XiongChengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of breast cancer (BC) is a serious challenge due to its heterogeneous nature, multidrug resistance (MDR), and limited therapeutic options. Nanoparticle-based drug delivery systems (NDDSs) represent a promising tool for overcoming toxicity and chemotherapy drug resistance in BC treatment. No bibliometric studies have yet been published on the research landscape of NDDS-based treatment of BC. In this review, we extracted data from 1,752 articles on NDDS-based treatment of BC published between 2012 and 2022 from the Web of Science Core Collection (WOSCC) database. VOSviewer, CiteSpace, and some online platforms were used for bibliometric analysis and visualization. Publication trends were initially observed: in terms of geographical distribution, China and the United States had the most papers on this subject. The highest contributing institution was Sichuan University. In terms of authorship and co-cited authorship, the most prolific author was Yu Zhang. Furthermore, Qiang Zhang and co-workers have made tremendous achievements in the field of NDDS-based BC treatment. The article titled "Nanomedicine in cancer therapy: challenges, opportunities, and clinical applications" had the most citations. The

Indexed as

bibliometricsbreast cancernanoparticle drug delivery systemsnanoparticlesvisualization

Identifiers

PMID37771575
PMCPMC10523396

What OpenQuestion holds

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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.