Loading…
An evidence mapping and analysis of registered COVID-19 clinical trials in China
Background This article aims to summarize the key characteristics of registered trials of 2019 novel coronavirus (COVID-19), in terms of their spatial and temporal distributions, types of design and interventions, and patient characteristics among others. Methods A comprehensive search of the regist...
Saved in:
Published in: | BMC medicine 2020-06, Vol.18 (1), p.1-167, Article 167 |
---|---|
Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c571t-6de4523056d940c3e7a225158590cc5f02c7a2d331e00a37299b773c8d0b9d613 |
---|---|
cites | cdi_FETCH-LOGICAL-c571t-6de4523056d940c3e7a225158590cc5f02c7a2d331e00a37299b773c8d0b9d613 |
container_end_page | 167 |
container_issue | 1 |
container_start_page | 1 |
container_title | BMC medicine |
container_volume | 18 |
creator | Lu, Liming Li, Fan Wen, Hao Ge, Shuqi Zeng, Jingchun Luo, Wen Wang, Lai Tang, Chunzhi Xu, Nenggui |
description | Background This article aims to summarize the key characteristics of registered trials of 2019 novel coronavirus (COVID-19), in terms of their spatial and temporal distributions, types of design and interventions, and patient characteristics among others. Methods A comprehensive search of the registered COVID-19 trials has been performed on platforms including ClinicalTrials.gov, WHO International Clinical Trials Registry Platform (WHO ICTRP), Chinese Clinical Trials Registry (CHiCTR), Australian Clinical Trials Registry, Britain's National Research Register (BNRR), Current Control Trials (CCT), and Glaxo Smith Kline Register. Trials registered at the first 8 weeks of the COVID-19 outbreak are included, without language restrictions. For each study, the registration information, study design, and administrator information are collected and summarized. Results A total of 220 registered trials were evaluated as of February 27, 2020. Hospital-initiated trials were the majority and account for 80% of the sample. Among the trials, pilot studies and phase 4 trials are more common and represent 35% and 19.1% of the sample, respectively. The median sample size of the registered trials is 100, with interquartile range 60-240. Further, 45.9% of the trials mentioned information on a data monitoring committee. 54.5% of the trials did not specify the disease severity among patients they intend to recruit. Four types of interventions are most common in the experimental groups across the registered studies: antiviral drugs, Traditional Chinese Medicine (TCM), biological agents, and hormone drugs. Among them, the TCM and biological agents are frequently used in pilot study and correspond to a variety of primary endpoints. In contrast, trials with antiviral drugs have more targeted primary outcomes such as "COVID-19 nucleic acid test" and "28-day mortality." Conclusions We provide an evidence mapping and analysis of registered COVID-19 clinical trials in China. In particular, it is critical for ongoing and future studies to refine their research hypothesis and better identify their intervention therapies and the corresponding primary outcomes. It is also imperative for multiple public health divisions and research institutions to work together for integrative clinical data capture and sharing, with a common objective of improving future studies that evaluate COVID-19 interventions. |
doi_str_mv | 10.1186/s12916-020-01612-y |
format | article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_4121d458494640adaf2fc8dae8412f61</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A627388063</galeid><doaj_id>oai_doaj_org_article_4121d458494640adaf2fc8dae8412f61</doaj_id><sourcerecordid>A627388063</sourcerecordid><originalsourceid>FETCH-LOGICAL-c571t-6de4523056d940c3e7a225158590cc5f02c7a2d331e00a37299b773c8d0b9d613</originalsourceid><addsrcrecordid>eNptkl2LEzEUhgdR3A_9A14NCOLNrPn-uBFKdbWwsF6otyFNzkxTpklNpgv996btoluREJKc857nJOFtmjcY3WCsxIeCicaiQwR1CAtMuv2z5hJLhjuJMH_-ZH_RXJWyRohwKdnL5oISpiml-LL5NostPAQP0UG7sdttiENro6_TjvsSSpv6NsMQygQZfDu__7n41GHdujHE4OzYTjnYsbQhtvNViPZV86KvZ3j9uF43P24_f59_7e7uvyzms7vOcYmnTnhgnFDEhdcMOQrSEsIxV1wj53iPiKsRX-8ICFkqidZLKalTHi21F5heN4sT1ye7NtscNjbvTbLBHAMpD8bmKbgRDMMEe8YV00wwZL3tSV9BFlTN9EfWxxNru1tuwDuIU7bjGfQ8E8PKDOnBSCIUV6oC3j8Ccvq1gzKZTSgOxtFGSLtiCEO6tmaIVOnbf6TrtMv1sw8qzIQmmKi_qsHWB4TYp9rXHaBmJoikSiFBq-rmP6o6PGyCSxH6UONnBe-eFKzAjtOqpHE3hRTLuZCchC6nUjL0fz4DI3MwnzmZz1TzmaP5zJ7-Bi0ixlM</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2414692128</pqid></control><display><type>article</type><title>An evidence mapping and analysis of registered COVID-19 clinical trials in China</title><source>Open Access: PubMed Central</source><source>Publicly Available Content Database</source><source>Coronavirus Research Database</source><creator>Lu, Liming ; Li, Fan ; Wen, Hao ; Ge, Shuqi ; Zeng, Jingchun ; Luo, Wen ; Wang, Lai ; Tang, Chunzhi ; Xu, Nenggui</creator><creatorcontrib>Lu, Liming ; Li, Fan ; Wen, Hao ; Ge, Shuqi ; Zeng, Jingchun ; Luo, Wen ; Wang, Lai ; Tang, Chunzhi ; Xu, Nenggui</creatorcontrib><description>Background This article aims to summarize the key characteristics of registered trials of 2019 novel coronavirus (COVID-19), in terms of their spatial and temporal distributions, types of design and interventions, and patient characteristics among others. Methods A comprehensive search of the registered COVID-19 trials has been performed on platforms including ClinicalTrials.gov, WHO International Clinical Trials Registry Platform (WHO ICTRP), Chinese Clinical Trials Registry (CHiCTR), Australian Clinical Trials Registry, Britain's National Research Register (BNRR), Current Control Trials (CCT), and Glaxo Smith Kline Register. Trials registered at the first 8 weeks of the COVID-19 outbreak are included, without language restrictions. For each study, the registration information, study design, and administrator information are collected and summarized. Results A total of 220 registered trials were evaluated as of February 27, 2020. Hospital-initiated trials were the majority and account for 80% of the sample. Among the trials, pilot studies and phase 4 trials are more common and represent 35% and 19.1% of the sample, respectively. The median sample size of the registered trials is 100, with interquartile range 60-240. Further, 45.9% of the trials mentioned information on a data monitoring committee. 54.5% of the trials did not specify the disease severity among patients they intend to recruit. Four types of interventions are most common in the experimental groups across the registered studies: antiviral drugs, Traditional Chinese Medicine (TCM), biological agents, and hormone drugs. Among them, the TCM and biological agents are frequently used in pilot study and correspond to a variety of primary endpoints. In contrast, trials with antiviral drugs have more targeted primary outcomes such as "COVID-19 nucleic acid test" and "28-day mortality." Conclusions We provide an evidence mapping and analysis of registered COVID-19 clinical trials in China. In particular, it is critical for ongoing and future studies to refine their research hypothesis and better identify their intervention therapies and the corresponding primary outcomes. It is also imperative for multiple public health divisions and research institutions to work together for integrative clinical data capture and sharing, with a common objective of improving future studies that evaluate COVID-19 interventions.</description><identifier>ISSN: 1741-7015</identifier><identifier>EISSN: 1741-7015</identifier><identifier>DOI: 10.1186/s12916-020-01612-y</identifier><identifier>PMID: 32493331</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Antiviral agents ; Antiviral drugs ; Biological weapons ; Clinical trials ; Coronaviruses ; COVID-19 ; Data capture ; Drugs ; Epidemics ; Health aspects ; Herbal medicine ; Intervention ; Mapping ; Medical research ; Nucleic acids ; Patients ; Pneumonia ; Product development ; Public health ; Research facilities ; Research institutions ; Severe acute respiratory syndrome coronavirus 2 ; Traditional Chinese medicine ; Viral diseases</subject><ispartof>BMC medicine, 2020-06, Vol.18 (1), p.1-167, Article 167</ispartof><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c571t-6de4523056d940c3e7a225158590cc5f02c7a2d331e00a37299b773c8d0b9d613</citedby><cites>FETCH-LOGICAL-c571t-6de4523056d940c3e7a225158590cc5f02c7a2d331e00a37299b773c8d0b9d613</cites><orcidid>0000-0001-7821-4699</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268588/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2414692128?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793</link.rule.ids></links><search><creatorcontrib>Lu, Liming</creatorcontrib><creatorcontrib>Li, Fan</creatorcontrib><creatorcontrib>Wen, Hao</creatorcontrib><creatorcontrib>Ge, Shuqi</creatorcontrib><creatorcontrib>Zeng, Jingchun</creatorcontrib><creatorcontrib>Luo, Wen</creatorcontrib><creatorcontrib>Wang, Lai</creatorcontrib><creatorcontrib>Tang, Chunzhi</creatorcontrib><creatorcontrib>Xu, Nenggui</creatorcontrib><title>An evidence mapping and analysis of registered COVID-19 clinical trials in China</title><title>BMC medicine</title><description>Background This article aims to summarize the key characteristics of registered trials of 2019 novel coronavirus (COVID-19), in terms of their spatial and temporal distributions, types of design and interventions, and patient characteristics among others. Methods A comprehensive search of the registered COVID-19 trials has been performed on platforms including ClinicalTrials.gov, WHO International Clinical Trials Registry Platform (WHO ICTRP), Chinese Clinical Trials Registry (CHiCTR), Australian Clinical Trials Registry, Britain's National Research Register (BNRR), Current Control Trials (CCT), and Glaxo Smith Kline Register. Trials registered at the first 8 weeks of the COVID-19 outbreak are included, without language restrictions. For each study, the registration information, study design, and administrator information are collected and summarized. Results A total of 220 registered trials were evaluated as of February 27, 2020. Hospital-initiated trials were the majority and account for 80% of the sample. Among the trials, pilot studies and phase 4 trials are more common and represent 35% and 19.1% of the sample, respectively. The median sample size of the registered trials is 100, with interquartile range 60-240. Further, 45.9% of the trials mentioned information on a data monitoring committee. 54.5% of the trials did not specify the disease severity among patients they intend to recruit. Four types of interventions are most common in the experimental groups across the registered studies: antiviral drugs, Traditional Chinese Medicine (TCM), biological agents, and hormone drugs. Among them, the TCM and biological agents are frequently used in pilot study and correspond to a variety of primary endpoints. In contrast, trials with antiviral drugs have more targeted primary outcomes such as "COVID-19 nucleic acid test" and "28-day mortality." Conclusions We provide an evidence mapping and analysis of registered COVID-19 clinical trials in China. In particular, it is critical for ongoing and future studies to refine their research hypothesis and better identify their intervention therapies and the corresponding primary outcomes. It is also imperative for multiple public health divisions and research institutions to work together for integrative clinical data capture and sharing, with a common objective of improving future studies that evaluate COVID-19 interventions.</description><subject>Antiviral agents</subject><subject>Antiviral drugs</subject><subject>Biological weapons</subject><subject>Clinical trials</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Data capture</subject><subject>Drugs</subject><subject>Epidemics</subject><subject>Health aspects</subject><subject>Herbal medicine</subject><subject>Intervention</subject><subject>Mapping</subject><subject>Medical research</subject><subject>Nucleic acids</subject><subject>Patients</subject><subject>Pneumonia</subject><subject>Product development</subject><subject>Public health</subject><subject>Research facilities</subject><subject>Research institutions</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Traditional Chinese medicine</subject><subject>Viral diseases</subject><issn>1741-7015</issn><issn>1741-7015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl2LEzEUhgdR3A_9A14NCOLNrPn-uBFKdbWwsF6otyFNzkxTpklNpgv996btoluREJKc857nJOFtmjcY3WCsxIeCicaiQwR1CAtMuv2z5hJLhjuJMH_-ZH_RXJWyRohwKdnL5oISpiml-LL5NostPAQP0UG7sdttiENro6_TjvsSSpv6NsMQygQZfDu__7n41GHdujHE4OzYTjnYsbQhtvNViPZV86KvZ3j9uF43P24_f59_7e7uvyzms7vOcYmnTnhgnFDEhdcMOQrSEsIxV1wj53iPiKsRX-8ICFkqidZLKalTHi21F5heN4sT1ye7NtscNjbvTbLBHAMpD8bmKbgRDMMEe8YV00wwZL3tSV9BFlTN9EfWxxNru1tuwDuIU7bjGfQ8E8PKDOnBSCIUV6oC3j8Ccvq1gzKZTSgOxtFGSLtiCEO6tmaIVOnbf6TrtMv1sw8qzIQmmKi_qsHWB4TYp9rXHaBmJoikSiFBq-rmP6o6PGyCSxH6UONnBe-eFKzAjtOqpHE3hRTLuZCchC6nUjL0fz4DI3MwnzmZz1TzmaP5zJ7-Bi0ixlM</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Lu, Liming</creator><creator>Li, Fan</creator><creator>Wen, Hao</creator><creator>Ge, Shuqi</creator><creator>Zeng, Jingchun</creator><creator>Luo, Wen</creator><creator>Wang, Lai</creator><creator>Tang, Chunzhi</creator><creator>Xu, Nenggui</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7821-4699</orcidid></search><sort><creationdate>20200601</creationdate><title>An evidence mapping and analysis of registered COVID-19 clinical trials in China</title><author>Lu, Liming ; Li, Fan ; Wen, Hao ; Ge, Shuqi ; Zeng, Jingchun ; Luo, Wen ; Wang, Lai ; Tang, Chunzhi ; Xu, Nenggui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c571t-6de4523056d940c3e7a225158590cc5f02c7a2d331e00a37299b773c8d0b9d613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Antiviral agents</topic><topic>Antiviral drugs</topic><topic>Biological weapons</topic><topic>Clinical trials</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Data capture</topic><topic>Drugs</topic><topic>Epidemics</topic><topic>Health aspects</topic><topic>Herbal medicine</topic><topic>Intervention</topic><topic>Mapping</topic><topic>Medical research</topic><topic>Nucleic acids</topic><topic>Patients</topic><topic>Pneumonia</topic><topic>Product development</topic><topic>Public health</topic><topic>Research facilities</topic><topic>Research institutions</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Traditional Chinese medicine</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Liming</creatorcontrib><creatorcontrib>Li, Fan</creatorcontrib><creatorcontrib>Wen, Hao</creatorcontrib><creatorcontrib>Ge, Shuqi</creatorcontrib><creatorcontrib>Zeng, Jingchun</creatorcontrib><creatorcontrib>Luo, Wen</creatorcontrib><creatorcontrib>Wang, Lai</creatorcontrib><creatorcontrib>Tang, Chunzhi</creatorcontrib><creatorcontrib>Xu, Nenggui</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Virology and AIDS Abstracts</collection><collection>Proquest Health & Medical Complete</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>BMC medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Liming</au><au>Li, Fan</au><au>Wen, Hao</au><au>Ge, Shuqi</au><au>Zeng, Jingchun</au><au>Luo, Wen</au><au>Wang, Lai</au><au>Tang, Chunzhi</au><au>Xu, Nenggui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An evidence mapping and analysis of registered COVID-19 clinical trials in China</atitle><jtitle>BMC medicine</jtitle><date>2020-06-01</date><risdate>2020</risdate><volume>18</volume><issue>1</issue><spage>1</spage><epage>167</epage><pages>1-167</pages><artnum>167</artnum><issn>1741-7015</issn><eissn>1741-7015</eissn><abstract>Background This article aims to summarize the key characteristics of registered trials of 2019 novel coronavirus (COVID-19), in terms of their spatial and temporal distributions, types of design and interventions, and patient characteristics among others. Methods A comprehensive search of the registered COVID-19 trials has been performed on platforms including ClinicalTrials.gov, WHO International Clinical Trials Registry Platform (WHO ICTRP), Chinese Clinical Trials Registry (CHiCTR), Australian Clinical Trials Registry, Britain's National Research Register (BNRR), Current Control Trials (CCT), and Glaxo Smith Kline Register. Trials registered at the first 8 weeks of the COVID-19 outbreak are included, without language restrictions. For each study, the registration information, study design, and administrator information are collected and summarized. Results A total of 220 registered trials were evaluated as of February 27, 2020. Hospital-initiated trials were the majority and account for 80% of the sample. Among the trials, pilot studies and phase 4 trials are more common and represent 35% and 19.1% of the sample, respectively. The median sample size of the registered trials is 100, with interquartile range 60-240. Further, 45.9% of the trials mentioned information on a data monitoring committee. 54.5% of the trials did not specify the disease severity among patients they intend to recruit. Four types of interventions are most common in the experimental groups across the registered studies: antiviral drugs, Traditional Chinese Medicine (TCM), biological agents, and hormone drugs. Among them, the TCM and biological agents are frequently used in pilot study and correspond to a variety of primary endpoints. In contrast, trials with antiviral drugs have more targeted primary outcomes such as "COVID-19 nucleic acid test" and "28-day mortality." Conclusions We provide an evidence mapping and analysis of registered COVID-19 clinical trials in China. In particular, it is critical for ongoing and future studies to refine their research hypothesis and better identify their intervention therapies and the corresponding primary outcomes. It is also imperative for multiple public health divisions and research institutions to work together for integrative clinical data capture and sharing, with a common objective of improving future studies that evaluate COVID-19 interventions.</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><pmid>32493331</pmid><doi>10.1186/s12916-020-01612-y</doi><orcidid>https://orcid.org/0000-0001-7821-4699</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1741-7015 |
ispartof | BMC medicine, 2020-06, Vol.18 (1), p.1-167, Article 167 |
issn | 1741-7015 1741-7015 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_4121d458494640adaf2fc8dae8412f61 |
source | Open Access: PubMed Central; Publicly Available Content Database; Coronavirus Research Database |
subjects | Antiviral agents Antiviral drugs Biological weapons Clinical trials Coronaviruses COVID-19 Data capture Drugs Epidemics Health aspects Herbal medicine Intervention Mapping Medical research Nucleic acids Patients Pneumonia Product development Public health Research facilities Research institutions Severe acute respiratory syndrome coronavirus 2 Traditional Chinese medicine Viral diseases |
title | An evidence mapping and analysis of registered COVID-19 clinical trials in China |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T01%3A28%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20evidence%20mapping%20and%20analysis%20of%20registered%20COVID-19%20clinical%20trials%20in%20China&rft.jtitle=BMC%20medicine&rft.au=Lu,%20Liming&rft.date=2020-06-01&rft.volume=18&rft.issue=1&rft.spage=1&rft.epage=167&rft.pages=1-167&rft.artnum=167&rft.issn=1741-7015&rft.eissn=1741-7015&rft_id=info:doi/10.1186/s12916-020-01612-y&rft_dat=%3Cgale_doaj_%3EA627388063%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c571t-6de4523056d940c3e7a225158590cc5f02c7a2d331e00a37299b773c8d0b9d613%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2414692128&rft_id=info:pmid/32493331&rft_galeid=A627388063&rfr_iscdi=true |