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比较分析脊柱领域 4 种代表性期刊的近期发表趋势。

Comparative analysis of the recent publication trends in 4 representative journals in the spine field.

机构信息

Department of Neurosurgery, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung-si, Gangwon-do, Korea.

Department of Neurosurgery, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Korea.

出版信息

Medicine (Baltimore). 2021 Nov 12;100(45):e27716. doi: 10.1097/MD.0000000000027716.

DOI:10.1097/MD.0000000000027716
PMID:34766577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10545294/
Abstract

We have analyzed and compared the publication trends in 4 representative spinal journals [Spine, European Spinal Journal (EUS), The Spine Journal (TSJ), and the Journal of Neurosurgery - Spine (JNS spine)] from 2016 to 2018.A total of 3784 articles were published in the 4 representative journals: 1358, 1128, 685, and 613 articles in Spine, EUS, TSJ, and JNS spine, respectively. We compared and analyzed each periodical for the time taken (days) for the publication process, the distribution of specialties of the corresponding author, multicity of the investigative institutions, main disease entity, study type, and design.The period from submission to online publication was 133, 216, 181, and 318 days in Spine, EUS, TSJ, and JNS spine, respectively. Corresponding authors with orthopedic specialties were more common in Spine, EUS, and TSJ than in JNS spine. Of particular note, corresponding authors who were neurosurgeons were the majority (55.8%) only in JNS spine. Single institution articles were by far the most common (average 92.8%) in all 4 journals. In all of the analyzed journals, the proportion of degenerative diseases was dominant with an average of 44.9%. The most frequent study type in all 4 journals was a clinical article (79.6, 72.1, 63.3, and 63.1%, respectively). In general, meta-analyses (average 4%) and randomized controlled comparative studies (average 5.2%) accounted for a very low percentage of the study types.We believe that periodic analyses and comparisons of the characteristics of representative spine journals will help to shape the direction of future improvements.

摘要

我们分析和比较了 4 种有代表性的脊柱期刊[Spine、European Spinal Journal(EUS)、The Spine Journal(TSJ)和 Journal of Neurosurgery - Spine(JNS spine)]在 2016 年至 2018 年的出版趋势。这 4 种代表性期刊共发表了 3784 篇文章:Spine、EUS、TSJ 和 JNS spine 分别发表了 1358、1128、685 和 613 篇文章。我们比较和分析了每个期刊的出版过程所需的时间(天数)、通讯作者的专业分布、研究机构的多城市情况、主要疾病实体、研究类型和设计。Spine、EUS、TSJ 和 JNS spine 的投稿到在线出版的时间分别为 133、216、181 和 318 天。在 Spine、EUS 和 TSJ 中,骨科专业的通讯作者更为常见,而在 JNS spine 中则较少。值得注意的是,只有在 JNS spine 中,神经外科医生是通讯作者的比例最高(占 55.8%)。单机构文章在所有 4 种期刊中是最常见的(平均占 92.8%)。在所有分析的期刊中,退行性疾病的比例最高,平均为 44.9%。所有 4 种期刊中最常见的研究类型是临床文章(分别为 79.6%、72.1%、63.3%和 63.1%)。一般来说,荟萃分析(平均占 4%)和随机对照比较研究(平均占 5.2%)在研究类型中所占比例非常低。我们相信,对有代表性的脊柱期刊的特点进行定期分析和比较,将有助于塑造未来改进的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/bb0a3a462090/medi-100-e27716-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/85e47787778d/medi-100-e27716-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/16244b9c488b/medi-100-e27716-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/a7d5d9ae4135/medi-100-e27716-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/08dca1013847/medi-100-e27716-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/bb0a3a462090/medi-100-e27716-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/85e47787778d/medi-100-e27716-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/4b9c5b2c9220/medi-100-e27716-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/94d10ccc30ea/medi-100-e27716-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/16244b9c488b/medi-100-e27716-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/a7d5d9ae4135/medi-100-e27716-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/08dca1013847/medi-100-e27716-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6654/10545294/bb0a3a462090/medi-100-e27716-g007.jpg

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本文引用的文献

1
Machine Learning-Based Classification of 38 Years of Spine-Related Literature Into 100 Research Topics.基于机器学习将38年的脊柱相关文献分类为100个研究主题
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