Login Register Cart 0
Generic placeholder image

Reviews on Recent Clinical Trials

Editor-in-Chief

ISSN (Print): 1574-8871
ISSN (Online): 1876-1038

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Review Article

Review and Analysis of Massively Registered Clinical Trials of COVID-19 using the Text Mining Approach

Author(s): Swayamprakash Patel*, Ashish Patel, Mruduka Patel, Umang Shah, Mehul Patel, Nilay Solanki and Suchita Patel

Volume 16, Issue 3, 2021

Published on: 02 December, 2020

Page: [242 - 257] Pages: 16

DOI: 10.2174/1574887115666201202110919

Price: $65

Abstract

Objective: Immediately after the outbreak of nCoV, many clinical trials are registered for COVID-19. The numbers of registrations are now raising inordinately. It is challenging to understand which research areas are explored in this massive pool of clinical studies. If such information can be compiled, then it is easy to explore new research studies for possible contributions in COVID-19 research.

Methods: In the present work, a text-mining technique of artificial intelligence is utilized to map the research domains explored through the clinical trials of COVID-19. With the help of the open-- source and graphical user interface-based tool, 3007 clinical trials are analyzed here. The dataset is acquired from the international clinical trial registry platform of WHO. With the help of hierarchical cluster analysis, the clinical trials were grouped according to their common research studies. These clusters are analyzed manually using their word clouds for understanding the scientific area of a particular cluster. The scientific fields of clinical studies are comprehensively reviewed and discussed based on this analysis.

Results: More than three-thousand clinical trials are grouped in 212 clusters by hierarchical cluster analysis. Manual intervention of these clusters using their individual word-cloud helped to identify various scientific areas which are explored in COVID19 related clinical studies.

Conclusion: The text-mining is an easy and fastest way to explore many registered clinical trials. In our study, thirteen major clusters or research areas were identified in which the majority of clinical trials were registered. Many other uncategorized clinical studies were also identified as “miscellaneous studies”. The clinical trials within the individual cluster were studied, and their research purposes are compiled comprehensively in the present work.

Keywords: Text-Mining, natural language processing, clinical trial, COVID19, coronavirus, diagnosis, treatment.

« Previous Next »
Graphical Abstract

[1]
Gentile I, Abenavoli L. COVID-19: Perspectives on the potential novel global threat. Rev Recent Clin Trials 2020; 15(2): 84-6.
[http://dx.doi.org/10.2174/1574887115999200228100745] [PMID: 32116200]
[2]
Zhu F, Patumcharoenpol P, Zhang C, et al. Biomedical text mining and its applications in cancer research. J Biomed Inform 2013; 46(2): 200-11.
[http://dx.doi.org/10.1016/j.jbi.2012.10.007] [PMID: 23159498]
[3]
Mathiak B, Eckstein S, Eds. Five steps to text mining in biomedical literature. Proceedings of the second European workshop on data mining and text mining in bioinformatics.
[4]
Demšar J, Curk T, Erjavec A, et al. Orange: Data mining toolbox in Python 2013; 14(1): 2349-53.
[5]
Ozaydin B, Zengul F, Oner N, Delen D. Text-mining analysis of mHealth research. mHealth 2017; 3: 53.
[http://dx.doi.org/10.21037/mhealth.2017.12.02] [PMID: 29430456]
[6]
Sukanya M, Biruntha S, Eds. Techniques on text mining. 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT).
[7]
Tandel SS, Jamadar A, Dudugu S. A Survey on text mining techniques 2019 5th international conference on advanced computing   communication systems (ICACCS).
[8]
Anandarajan M, Hill C, Nolan T. Cluster analysis: Modeling groups in textPractical Text Analytics Springer . 2019; pp. pp 93-115.
[http://dx.doi.org/10.1007/978-3-319-95663-3_7]
[9]
Park CS. Using text network analysis for analyzing academic papers in nursing. Perspect Nurs Sci 2019; 16(1): 12-24.
[http://dx.doi.org/10.16952/pns.2019.16.1.12]
[10]
Barkur G, Vibha , Kamath GB. Sentiment analysis of nationwide lockdown due to COVID 19 outbreak: Evidence from India. Asian J Psychiatr 2020; 51: 102089-9.
[http://dx.doi.org/10.1016/j.ajp.2020.102089] [PMID: 32305035]
[11]
Yu DD, Liao X, Xie YM, et al. Systematic review and Meta-analysis of Huoxiang Zhengqi Pills combined with Western medicine for acute gastroenteritis. Zhongguo Zhongyao Zazhi 2019; 44(14): 2914-25.
[http://dx.doi.org/10.19540/j.cnki.cjcmm.20190513.502] [PMID: 31602833]
[12]
Jia W, Wang C, Wang Y, et al. Qualitative and quantitative analysis of the major constituents in Chinese medical preparation Lianhua-Qingwen capsule by UPLC-DAD-QTOF-MS. ScientificWorldJournal 2015; 2015: 731765.
[http://dx.doi.org/10.1155/2015/731765] [PMID: 25654135]
[13]
Wang Z, Xia Q, Liu X, et al. Phytochemistry, pharmacology, quality control and future research of Forsythia suspensa (Thunb.) Vahl: A review. J Ethnopharmacol 2018; 210: 318-39.
[http://dx.doi.org/10.1016/j.jep.2017.08.040] [PMID: 28887216]
[14]
Ni L, Chen L, Huang X, et al. Combating COVID-19 with integrated traditional Chinese and Western medicine in China. Acta Pharm Sin B 2020; 10(7): 1149-62.
[http://dx.doi.org/10.1016/j.apsb.2020.06.009] [PMID: 32834946]
[15]
Chen J, Wang YK, Gao Y, et al. Protection against COVID-19 injury by qingfei paidu decoction via anti-viral, anti-inflammatory activity and metabolic programming. Biomed Pharmacother 2020; 129
[http://dx.doi.org/10.1016/j.biopha.2020.110281] [PMID: 32554251]
[16]
Yang R, Liu H, Bai C, et al. Chemical composition and pharmacological mechanism of Qingfei Paidu Decoction and Ma Xing Shi Gan Decoction against Coronavirus Disease 2019 (COVID-19): In silico and experimental study. Pharmacol Res 2020; 157: 104820.
[http://dx.doi.org/10.1016/j.phrs.2020.104820] [PMID: 32360484]
[17]
Li Y, Chang N, Han Y, et al. Anti-inflammatory effects of Shufengjiedu capsule for upper respiratory infection via the ERK pathway. Biomed Pharmacother 2017; 94: 758-66.
[http://dx.doi.org/10.1016/j.biopha.2017.07.118] [PMID: 28802227]
[18]
Lu L, Wu C, Lu BJ, et al. BabaoDan cures hepatic encephalopathy by decreasing ammonia levels and alleviating inflammation in rats. J Ethnopharmacol 2020; 249: 112301.
[http://dx.doi.org/10.1016/j.jep.2019.112301] [PMID: 31622746]
[19]
Wang JH, Bose S, Shin NR, Chin YW, Choi YH, Kim H. Pharmaceutical impact of Houttuynia cordata and metformin combination on high-fat-diet-induced metabolic disorders: Link to intestinal microbiota and metabolic endotoxemia. Front Endocrinol (Lausanne) 2018; 9: 620.
[http://dx.doi.org/10.3389/fendo.2018.00620] [PMID: 30405531]
[20]
Ma Q, Pan W, Li R, et al. Liu Shen capsule shows antiviral and anti-inflammatory abilities against novel coronavirus SARS-CoV-2 via suppression of NF-κB signaling pathway. Pharmacol Res 2020; 158
[http://dx.doi.org/10.1016/j.phrs.2020.104850] [PMID: 32360580]
[21]
Hsieh C-F, Lo CW, Liu C-H, et al. Mechanism by which ma-xing-shi-gan-tang inhibits the entry of influenza virus. J Ethnopharmacol 2012; 143(1): 57-67.
[http://dx.doi.org/10.1016/j.jep.2012.05.061] [PMID: 22710290]
[22]
Zhang T, Xiao M, Wong C-K, et al. Sheng Jiang San, a traditional multi-herb formulation, exerts anti-influenza effects in vitro and in vivovia neuraminidase inhibition and immune regulation. BMC Complement Altern Med 2018; 18(1): 150.
[http://dx.doi.org/10.1186/s12906-018-2216-7] [PMID: 29739459]
[23]
Tong H, Liu Y, Zhu Y, Zhang B, Hu J. The therapeutic effects of qigong in patients with chronic obstructive pulmonary disease in the stable stage: A meta-analysis. BMC Complement Altern Med 2019; 19(1): 239.
[http://dx.doi.org/10.1186/s12906-019-2639-9] [PMID: 31484521]
[24]
Ding M, Zhang W, Li K, Chen X. Effectiveness of t’ai chi and qigong on chronic obstructive pulmonary disease: a systematic review and meta-analysis. J Altern Complement Med 2014; 20(2): 79-86.
[http://dx.doi.org/10.1089/acm.2013.0087] [PMID: 23961940]
[25]
Wong K, Yap B, Fung BK-P. Treatment of Neck Pain with Collateral Meridian Acupressure Therapy: A Randomised, Sham-Intervention Controlled Trial Australian Journal of Acupuncture   Chinese Medicine 2012; 7(1): 10-5.
[26]
Wang J, Ren JX, Xie YM, Wang WW, Hu J, Liao X. Systematic review of xiyanping injection for hand foot mouth disease. Zhongguo Zhongyao Zazhi 2013; 38(18): 3215-22.
[PMID: 24471354]
[27]
Wang P, Song Y, Liu Z, et al. Xuebijing injection in the treatment of severe pneumonia: study protocol for a randomized controlled trial. Trials 2016; 17(1): 142.
[http://dx.doi.org/10.1186/s13063-016-1282-8] [PMID: 26983754]
[28]
Yin Q, Li C. Treatment effects of xuebijing injection in severe septic patients with disseminated intravascular coagulation. Evid Based Complement Alternat Med 2014; 2014
[http://dx.doi.org/10.1155/2014/949254] [PMID: 24778706]
[29]
Cheng F, Wang X, Song W, Lu Y, Li X, Zhang H, et al. Biologic basis of TCM syndromes and the standardization of syndrome classification. J Trad Chin Med Sci 2014; 1(2): 92-7.
[http://dx.doi.org/10.1016/j.jtcms.2014.09.005]
[30]
Dwevedi A, Sharma K, Sharma YK. Cadamba: A miraculous tree having enormous pharmacological implications. Pharmacogn Rev 2015; 9(18): 107-13.
[http://dx.doi.org/10.4103/0973-7847.162110] [PMID: 26392707]
[31]
Gundeti MS, Bhurke LW, Mundada PS, et al. AYUSH 64, a polyherbal Ayurvedic formulation in Influenza like Illness: Results of a pilot study. J Ayurveda Integr Med 2020.
[http://dx.doi.org/10.1016/j.jaim.2020.05.010]
[32]
Liu Y, Liu Y, Diao B, et al. Diagnostic Indexes of a Rapid IgG/IgM Combined Antibody Test for SARS-CoV-2 medRxiv 2020.
[33]
Bruning AHL, Leeflang MMG, Vos JMBW, et al. Rapid tests for influenza, respiratory syncytial virus, and other respiratory viruses: A systematic review and meta-analysis. Clin Infect Dis 2017; 65(6): 1026-32.
[http://dx.doi.org/10.1093/cid/cix461] [PMID: 28520858]
[34]
La Marca A, Capuzzo M, Paglia T, Roli L, Trenti T, Nelson SM. Testing for SARS-CoV-2 (COVID-19): A systematic review and clinical guide to molecular and serological in-vitro diagnostic assays. Reprod Biomed Online 2020.
[35]
Chen W, Lan Y, Yuan X, et al. Detectable 2019-nCoV viral RNA in blood is a strong indicator for the further clinical severity. Emerg Microbes Infect 2020; 9(1): 469-73.
[http://dx.doi.org/10.1080/22221751.2020.1732837] [PMID: 32102625]
[36]
Inkarojrit V. The Facility Management Model of Temporary Shelter for COVID-19 Patients: A Case Study of the CUVCare Project, Chulanives Building, Chulalongkorn University. Acad J Arch 2020; 70: 37-54.
[37]
Williams K, Moon C. An introduction to systematic reviews of prognosis. For the Chochrane Prognosis Review Methods Group 2010.
[38]
Shen C, Wang Z, Zhao F, et al. Treatment of 5 Critically Ill Patients With COVID-19 With Convalescent Plasma. JAMA 2020; 323(16): 1582-9.
[http://dx.doi.org/10.1001/jama.2020.4783] [PMID: 32219428]
[39]
Chen L, Xiong J, Bao L, Shi Y. Convalescent plasma as a potential therapy for COVID-19. Lancet Infect Dis 2020; 20(4): 398-400.
[http://dx.doi.org/10.1016/S1473-3099(20)30141-9] [PMID: 32113510]
[40]
Golchin A, Seyedjafari E, Ardeshirylajimi A. Mesenchymal stem cell therapy for COVID-19: Present or future. Stem Cell Rev Rep 2020; 16(3): 427-33.
[http://dx.doi.org/10.1007/s12015-020-09973-w] [PMID: 32281052]
[41]
Modrykamien AM, Gupta P. The acute respiratory distress syndrome. Proc Bayl Univ Med Cent 2015; 28(2): 163-71.
[http://dx.doi.org/10.1080/08998280.2015.11929219] [PMID: 25829644]
[42]
Rawal G, Yadav S, Kumar R. Acute Respiratory Distress Syndrome: An Update and Review. J Transl Int Med 2018; 6(2): 74-7.
[http://dx.doi.org/10.1515/jtim-2016-0012] [PMID: 29984201]
[43]
Schnettler WT, Al Ahwel Y, Suhag A. Severe acute respiratory distress syndrome in coronavirus disease 2019-infected pregnancy: obstetric and intensive care considerations. Am J Obstet Gynecol MFM 2020; 2(3)(Suppl.).
[http://dx.doi.org/10.1016/j.ajogmf.2020.100120] [PMID: 32363337]
[44]
Rajarshi K, Chatterjee A, Ray S. BCG vaccination strategy implemented to reduce the impact of COVID-19: Hype or Hope? Med Drug Discov 2020; 7
[http://dx.doi.org/10.1016/j.medidd.2020.100049] [PMID: 32835211]
[45]
Nepogodiev D, Bhangu A, Glasbey JC, Li E, Omar OM, Simoes JFF, et al. COVIDSurg Collaborative. Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study. Lancet 2020; 396(10243): 27-38.
[http://dx.doi.org/10.1016/S0140-6736(20)31182-X] [PMID: 32479829]
[46]
Martins-Filho PR, Tavares CSS, Santos VS. Factors associated with mortality in patients with COVID-19. A quantitative evidence synthesis of clinical and laboratory data. Eur J Intern Med 2020; 76: 97-9.
[http://dx.doi.org/10.1016/j.ejim.2020.04.043] [PMID: 32345526]
[47]
Henderson WR, Griesdale DEG, Dominelli P, Ronco JJ. Does prone positioning improve oxygenation and reduce mortality in patients with acute respiratory distress syndrome? Can Respir J 2014; 21(4): 213-5.
[http://dx.doi.org/10.1155/2014/472136] [PMID: 24927376]
[48]
Ahuja AS. The impact of artificial intelligence in medicine on the future role of the physician. PeerJ 2019; 7
[http://dx.doi.org/10.7717/peerj.7702] [PMID: 31592346]
[49]
Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J 2019; 6(2): 94-8.
[http://dx.doi.org/10.7861/futurehosp.6-2-94] [PMID: 31363513]
[50]
Liu R, Rong Y, Peng Z. A review of medical artificial intelligence. Global Health Journal 2020; 4(2): 42-5.
[http://dx.doi.org/10.1016/j.glohj.2020.04.002]
[51]
Robba C, Battaglini D, Pelosi P, Rocco PRM. Multiple organ dysfunction in SARS-CoV-2: MODS-CoV-2. Expert Rev Respir Med 2020; 14(9): 865-8.
[http://dx.doi.org/10.1080/17476348.2020.1778470] [PMID: 32567404]
[52]
Collange O, Tacquard C, Delabranche X, et al. Coronavirus Disease 2019: Associated Multiple Organ Damage. Open Forum Infect Dis 2020; 7(7): a249.
[http://dx.doi.org/10.1093/ofid/ofaa249] [PMID: 32661498]
[53]
Polastri M, Nava S, Clini E, Vitacca M, Gosselink R. COVID-19 and pulmonary rehabilitation: preparing for phase three. Eur Respir J 2020; 55(6): 2001822.
[http://dx.doi.org/10.1183/13993003.01822-2020] [PMID: 32586841]
[54]
Collaborative C. Delaying surgery for patients with a previous SARS-CoV-2 infection Br J Surgery
[55]
Collaborative C. COVIDSurg Collaborative. Global guidance for surgical care during the COVID-19 pandemic. Br J Surg 2020; 107(9): 1097-103.
[http://dx.doi.org/10.1002/bjs.11646] [PMID: 32293715]

Rights & Permissions Print Cite
Article Metrics
23
© 2024 Bentham Science Publishers | Privacy Policy