Evidence map›Paper›PMID 33200992›Full record

ArticleJMIR medical informatics2020

Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study.

Min-Qiang Lin, Chen-Lu Lian, Ping Zhou, Jian Lei, Jun Wang, Li Hua, Juan Zhou, San-Gang Wu

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Min-Qiang Lin *Department of Scientific Management, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0003-4928-7295
Chen-Lu Lian *Department of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0002-4004-0299
Ping Zhou *Department of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0003-4550-5347
Jian LeiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0002-5214-4730
Jun WangDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0003-0313-1789
Li HuaDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0001-7801-7409
Juan ZhouDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0002-6703-6687
San-Gang WuDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0002-0556-2614
First Affiliated Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe application of China's big data sector in cancer research is just the beginning. In recent decades, more and more Chinese scholars have used the Surveillance, Epidemiology, and End Results (SEER) database for clinical cancer research. A comprehensive bibliometric study is required to analyze the tendency of Chinese scholars to utilize the SEER database for clinical cancer research and provide a reference for the future of big data analytics.

objectiveOur study aimed to assess the trend of publications on clinical cancer research in mainland China from the SEER database.

methodsWe performed a PubMed search to identify papers published with data from the SEER database in mainland China until August 31, 2020.

resultsA total of 1566 papers utilizing the SEER database that were authored by investigators in mainland China were identified. Over the past years, significant growth in studies based on the SEER database was observed (P<.001). The top 5 research topics were breast cancer (213/1566, 13.6%), followed by colorectal cancer (185/1566, 11.8%), lung cancer (179/1566, 11.4%), gastrointestinal cancer (excluding colorectal cancer; 149/1566, 9.5%), and genital system cancer (93/1566, 5.9%). Approximately 75.2% (1178/1566) of papers were published from the eastern coastal region of China, and Fudan University Shanghai Cancer Center (Shanghai, China) was the most active organization. Overall, 267 journals were analyzed in this study, of which Oncotarget was the most contributing journal (136/267, 50.9%). Of the 1566 papers studied, 585 (37.4%) were published in the second quartile, 489 (31.2%) in the third quartile, 312 (19.9%) in the first quartile, and 80 (5.1%) in the fourth quartile, with 100 (6.4%) having an unknown Journal Citation Reports ranking.

conclusionsClinical cancer research based on the SEER database in mainland China underwent constant and rapid growth during recent years. High-quality and comprehensive cancer databases based on Chinese demographic data are urgently needed.

Indexed as

bibliometricscancerChinadata collectionPubMedSEER program

Identifiers

PMID33200992
PMCPMC7708086
OpenAlexW3099302673

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.