Evidence map›Paper›PMID 36263211›Full record

ArticleFrontiers in oncology2022

The global research and emerging trends in autophagy of pancreatic cancer: A bibliometric and visualized study.

Mingyang Song, Qin Lu, Min Xu, Yajie Li, Yawen Zhao, Chen Gong, Xilong Ou

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Mingyang SongDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Qin LuDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Min XuDepartment of Human Anatomy, School of Medicine, Southeast University, Nanjing, China.
Yajie LiDepartment of Gerontology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Yawen ZhaoDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Chen GongDepartment of Gastroenterology, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Jiangsu, China.
Xilong OuDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To present the global research features and hotspots, and forecast the emerging trends by conducting a bibliometric analysis based on literature related to autophagy of pancreatic cancer from 2011 to 2022. Methods: The literature data regarding autophagy of pancreatic cancer were retrieved and downloaded from the Web of Science Core Collection (WOSCC) from Clarivate Analytics on June 10th, 2022. VOSviewer (version 1.6.18) was used to perform the bibliometric analysis. Results: A total of 616 studies written by 3993 authors, covered 45 countries and 871 organizations, published in 263 journals and co-cited 28152 references from 2719 journals. China (n=260, 42.2%) and the United States (n=211, 34.3%) were the most frequent publishers and collaborated closely. However, publications from China had a low average number of citations (25.35 times per paper). The output of University of Texas MD Anderson Cancer Center ranked the first with 26 papers (accounting for 4.2% of the total publications). Conclusion: Attention has been increasing in autophagy of pancreatic cancer over the past 12 years. Our results undoubtedly provide scholars with new clues and ideas in this field.

Indexed as

apoptosisautophagybibliometric studychemotherapy resistancegemcitabinepancreatic cancer

Identifiers

PMID36263211
PMCPMC9574366

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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.