Evidence map›Paper›PMID 35118077›Full record

ReviewFrontiers in cell and developmental biology2021

Bibliometric Evaluation of 2012-2020 Publications on Ferroptosis in Cancer Treatment.

Qian Zhou, Fei Wu, Mingyi Zhao, Minghua Yang

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline 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

4 authors.

Qian ZhouDepartment of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, China.
Fei WuDepartment of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, China.
Mingyi ZhaoDepartment of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, China.
Minghua YangDepartment of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ferroptosis is an iron-dependent regulated cell-death caused by the accumulation of lipid peroxides, which is different from apoptosis, autophagy, necroptosis and other forms of regulatory cell death in morphology and mechanism. It has attracted interest and attention of scholars from all over the world during the past years. Recent studies have shown that ferroptosis is able to play a clear and important role in cancer treatment, providing a bright prospect for targeted cancer therapy. This article aims to analyze current scientific results about the application of ferroptosis in the field of cancer treatment, providing new ideas for further research. We retrieved publications related to ferroptosis and cancer treatment from 2012 to 2020 from the Web of Science Core Collection (WoSCC), screening them according to the inclusion criteria. A total of 965 related papers were included, and the total number of publications increased year by year. We used CiteSpace 5.7. R2, VOSviewer and Microsoft Excel 2019 to evaluate and visualize the results, analyzing institutions, countries/regions, journals, authors, co-cited reference and keywords. Overall, with more and more evidence showing the indispensable role of ferroptosis in cancer, its mechanism research and target discovery may become the main direction of future research.

Indexed as

bibliometric analysiscancer treatmentcitespaceferroptosisvisualization analysisVOSviewer

Identifiers

PMID35118077
PMCPMC8804294

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.