Evidence map›Paper›PMID 35784740›Full record

ArticleFrontiers in pharmacology2022

Bibliometric Analysis of Global Research on Cancer Photodynamic Therapy: Focus on Nano-Related Research.

Kunming Cheng, Qiang Guo, Zefeng Shen, Weiguang Yang, Yulin Wang, Zaijie Sun, Haiyang Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 10 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

69 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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9 more citing papers are in PubMed but not listed here.

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

7 authors.

Kunming ChengDepartment of Intensive Care Unit, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qiang GuoDepartment of Orthopaedics, Baodi Clinical College of Tianjin Medical University, Tianjin, China.
Zefeng ShenDepartment of Graduate School, Sun Yat-sen University, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Weiguang YangDepartment of Graduate School of Tianjin Medical University, Tianjin, China.
Yulin WangDepartment of Graduate School of Tianjin Medical University, Tianjin, China.
Zaijie SunDepartment of Orthopaedic Surgery, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Haiyang WuDepartment of Graduate School of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing body of research has illuminated that photodynamic therapy (PDT) serves as an important therapeutic strategy in oncology and has become a hot topic in recent years. Although numerous papers related to cancer PDT (CPDT) have been published, no bibliometric studies have been conducted to summarize the research landscape, and highlight the research trends and hotspots in this field. This study collected 5,804 records on CPDT published between 2000 and 2021 from Web of Science Core Collection. Bibliometric analysis and visualization were conducted using VOSviewer, CiteSpace, and one online platform. The annual publication and citation results revealed significant increasing trends over the past 22 years. China and the United States, contributing 56.24% of the total publications, were the main driving force in this field. Chinese Academy of Sciences was the most prolific institution.

Indexed as

bibliometricscancercitespacephotodynamic therapyVOSviewer

Identifiers

PMID35784740
PMCPMC9243586

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.