Relevant bibliographies by topics / Clinical trials analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Clinical trials analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Clinical trials analysis"

1

Geller, N. L. "Planned interim analysis and its role in cancer clinical trials." Journal of Clinical Oncology 5, no. 9 (September 1987): 1485–90. http://dx.doi.org/10.1200/jco.1987.5.9.1485.

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Although interim analyses in cancer clinical trials are commonplace, clinical trials are usually designed with the implicit assumption that data analysis will occur only after the trial is completed. The design of randomized trials with planned interim analyses, "group sequential trials," is described and examples are given. A method to redesign trials in which unplanned interim analyses have been undertaken is described. Planned interim analysis should be considered whenever a cancer clinical trial is designed.
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Feizabadi, Mansoureh, Fatima Fahimnia, Alireza Mosavi Jarrahi, Nader Naghshineh, and Shahram Tofighi. "Iranian clinical trials: An analysis of registered trials in International Clinical Trial Registry Platform (ICTRP)." Journal of Evidence-Based Medicine 10, no. 2 (May 2017): 91–96. http://dx.doi.org/10.1111/jebm.12248.

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Aartsma-Rus, Annemieke. "Dystrophin Analysis in Clinical Trials." Journal of Neuromuscular Diseases 1, no. 1 (2014): 41–53. http://dx.doi.org/10.3233/jnd-140013.

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Cook, David I., Val J. Gebski, and Anthony C. Keech. "Subgroup analysis in clinical trials." Medical Journal of Australia 180, no. 6 (March 2004): 289–91. http://dx.doi.org/10.5694/j.1326-5377.2004.tb05928.x.

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Wassertheil-Smoller, Sylvia, and Mimi Y. Kim. "Statistical Analysis of Clinical Trials." Seminars in Nuclear Medicine 40, no. 5 (September 2010): 357–63. http://dx.doi.org/10.1053/j.semnuclmed.2010.04.001.

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Caelleigh, A. S. "Clinical trials and meta-analysis." Academic Medicine 72, no. 12 (December 1997): 1030–1. http://dx.doi.org/10.1097/00001888-199712000-00009.

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Armitage, Peter. "Interim analysis in clinical trials." Statistics in Medicine 10, no. 6 (June 1991): 925–37. http://dx.doi.org/10.1002/sim.4780100613.

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Kassirer, Jerome P. "Clinical Trials and Meta-Analysis." New England Journal of Medicine 327, no. 4 (July 23, 1992): 273–74. http://dx.doi.org/10.1056/nejm199207233270411.

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DerSimonian, Rebecca, and Nan Laird. "Meta-analysis in clinical trials." Controlled Clinical Trials 7, no. 3 (September 1986): 177–88. http://dx.doi.org/10.1016/0197-2456(86)90046-2.

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Su, Hui-Chun Irene, and Mary D. Sammel. "Interim analysis in clinical trials." Fertility and Sterility 97, no. 3 (March 2012): e9. http://dx.doi.org/10.1016/j.fertnstert.2012.01.107.

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Dissertations / Theses on the topic "Clinical trials analysis"

1

Bamias, Christina. "Analysis of clinical trials with rescue medication." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249574.

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Todd, Susan Clare. "Methods of analysis for sequential clinical trials." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239477.

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Warne, David W. "Bayesian design and analysis of clinical trials." Thesis, University of Reading, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303459.

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James, Susan Elizabeth. "The analysis of multiple endpoints in clinical trials." Thesis, University of Leicester, 1993. http://hdl.handle.net/2381/34548.

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Parmar, M. K. B. "Multiplicity in clinical trials and other medical studies." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377230.

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Hardy, Rebecca Jane. "Meta-analysis techniques in medical research : a statistical perspective." Thesis, London School of Hygiene and Tropical Medicine (University of London), 1995. http://researchonline.lshtm.ac.uk/682268/.

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Meta-analysis is now commonly used in medical research. However there are statistical issues relating to the subject that require investigation and some are considered here, from both a methodological and a practical perspective. Each of the fixed effect and the random effects models for meta-analysis are based on certain assumptions and the validity of these is investigated. A formal test of the homogeneity assumption made in the fixed effect model may be performed. Since the test has low power, simulation was used to investigate the power under various conditions. The random effects model incorporates a between-study component of variance into the model. A likelihood based method was used to obtain a confidence interval for this variance and also to provide an interval for the overall treatment effect which takes into account the fact that the between-study variance is estimated, rather than assuming it to be known. In order to obtain confidence intervals for the treatment effect for both the fixed effect and the random effects models, distributional assumptions of normality are usually made. Such assumptions may be checked using q-q plots of the residuals obtained for each trial in the meta-analysis. In both meta-analysis models it is assumed that the weight allocated to each study is known, when in fact it must be estimated from the data. The effect of estimating the weights on the overall treatment effect estimate, its confidence intervals, the between-study variance estimate and the test statistic for homogeneity, is investigated by both analytic and simulation methods. It is shown how meta-analysis methods may be used to analyse multicentre trials of a paired cluster randomised design. Meta-analysis techniques are found to be preferable to previously published methods specifically developed for the analysis of such designs, which produce biased and potentially misleading results when a large treatment effect is present.
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Burke, Brian A. "Motivational interviewing: A meta-analysis of controlled clinical trials." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280346.

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This is a meta-analytic review of controlled clinical trials investigating adaptations of motivational interviewing (AMIs), a promising approach to treating problem behaviors. For each study, descriptive characteristics were coded and individual effect sizes (Cohen's d) were computed. In order to evaluate comparative efficacy, combined effect sizes for AMIs were calculated, separated by comparison group and problem area. To test for sustained efficacy, post-treatment & follow-up effect sizes for AMIs were compared. Additional data were compiled to evaluate the clinical impact of AMIs. Finally, potential moderators were analyzed to test five specific hypotheses related to the effects of AMIs. Thirty clinical trials were included in this review, representing a wide variety of studies. AMIs were equivalent to other active treatments and yielded moderate effects (ranging from .25 to .57) compared to no-treatment or placebo controls for problems involving alcohol, drugs, and diet & exercise. These effects were sustained through an average of 67 weeks of follow-up and for as long as 4 years post-treatment. Based on four studies, there was weak evidence for AMIs in the areas of smoking cessation and HIV-risk behaviors. Overall, AMIs demonstrated considerable clinical impact, with 51% improvement rates, a mean within-group effect size of .82, a 56% reduction in client drinking, and moderate effects on social impact measures (d = .47) such as days of work lost due to substance use. Each of the five specific hypotheses in this meta-analysis was at least partially confirmed. Miller's lab (the founder of motivational interviewing) produced the best outcomes for AMIs, while AMI treatments were most efficacious for severe client samples. AMIs generated the best results when used as preludes to further clinical services rather than as stand-alone treatments. Studies of low methodological quality yielded better outcomes for AMIs than did high quality studies, although the overall picture with regards to quality was unclear. Finally. AMIs showed a significant dose-effect relationship, with higher treatment doses resulting in better study outcomes. Additional analyses provided evidence that the conclusions of this meta-analysis are reasonably immune to the effects of client attrition as well as to publication bias.
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Jadad-Bechara, Alejandro Ricardo. "Meta-analysis of randomised clinical trials in pain relief." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239290.

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Xu, Shilin. "Contributions to the statistical analysis of multicenter clinical trials." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239146.

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Facey, Karen Maria. "Sequential procedures for clinical trials design, monitoring and analysis." Thesis, University of Reading, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315536.

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Books on the topic "Clinical trials analysis"

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Susan, Tonascia, ed. Clinical trials: Design, conduct, and analysis. New York: Oxford University Press, 1986.

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Sather, Harland. Design and analysis of clinical trials. Bologna: CLUEB, 1991.

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Meinert, Curtis L. Clinical trials: Design, conduct and analysis. New York: Oxford University Press, 1986.

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Meta-analysis of controlled clinical trials. Chichester: John Wiley & Sons, 2002.

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Chow, Shein-Chung, and Jen-Pei Liu. Design and Analysis of Clinical Trials. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118458167.

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Chow, Shein-Chung, and Jen-Pei Liu. Design and Analysis of Clinical Trials. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2003. http://dx.doi.org/10.1002/0471473286.

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Clinical trials: Design, conduct, and analysis. 2nd ed. New York: Oxford University Press, 2012.

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8

Clinical statistics: Introducing clinical trials, survival analysis, and longitudinal data analysis. Sudbury, Mass: Jones and Bartlett Publishers, 2009.

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9

Clinical trials in neurology: Design, conduct, analysis. Cambridge: Cambridge University Press, 2012.

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Cleophas, Ton J., and Aeilko H. Zwinderman. Efficacy Analysis in Clinical Trials an Update. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19918-0.

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Book chapters on the topic "Clinical trials analysis"

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Pocock, Stuart J. "Basic Principles of Statistical Analysis." In Clinical Trials, 187–210. West Sussex, England: John Wiley & Sons Ltd,., 2013. http://dx.doi.org/10.1002/9781118793916.ch13.

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Pocock, Stuart J. "Further Aspects of Data Analysis." In Clinical Trials, 211–33. West Sussex, England: John Wiley & Sons Ltd,., 2013. http://dx.doi.org/10.1002/9781118793916.ch14.

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Chen, Ming-Hui, Dipak K. Dey, Peter Müller, Dongchu Sun, and Keying Ye. "Bayesian Clinical Trials." In Frontiers of Statistical Decision Making and Bayesian Analysis, 257–84. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6944-6_8.

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Tsong, Yi, and Joanne Zhang. "Active-Controlled Clinical Trials." In Modern Clinical Trial Analysis, 167–82. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4322-3_7.

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Friedman, Lawrence M., Curt D. Furberg, and David L. DeMets. "Survival Analysis." In Fundamentals of Clinical Trials, 269–91. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1586-3_15.

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Friedman, Lawrence M., Curt D. Furberg, David L. DeMets, David M. Reboussin, and Christopher B. Granger. "Survival Analysis." In Fundamentals of Clinical Trials, 319–41. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18539-2_15.

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Newson, R. "Survival Analysis." In Clinical Trials in Neurology, 121–29. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-3787-0_11.

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Friedman, Lawrence M., Curt D. Furberg, and David L. DeMets. "Survival Analysis." In Fundamentals of Clinical Trials, 223–45. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2915-3_14.

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Leifer, Eric S., and Nancy L. Geller. "Monitoring Randomized Clinical Trials." In Design and Analysis of Experiments, 213–49. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118147634.ch6.

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Bulpitt, Christopher J. "Analysis of the Results, Subgroup and Meta-Analysis." In Randomised Controlled Clinical Trials, 269–99. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-6347-1_14.

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Conference papers on the topic "Clinical trials analysis"

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Dubis, Adam M., Mariya Moosajee, and John Greenwood. "The Use of Adaptive Optics Imaging for Clinical Trials." In Adaptive Optics: Analysis, Methods & Systems. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/aoms.2020.oth5b.1.

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MacKellar, Bonnie, and Christina Schweikert. "Conflict Discovery and Analysis for Clinical Trials." In DH '17: International Conference on Digital Health. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3079452.3079494.

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Andersen, Roger C., Nicolas G. Loebel, and Dane M. Andersen. "Meta-analysis of five photodisinfection clinical trials for periodontitis." In 12th World Congress of the International Photodynamic Association, edited by David H. Kessel. SPIE, 2009. http://dx.doi.org/10.1117/12.823567.

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SUBBAIAH, PERLA, AVISHEK MALLICK, and TUSAR K. DESAI. "META ANALYSIS OF BINARY OUTCOMES DATA IN CLINICAL TRIALS." In Proceedings of Statistics 2011 Canada/IMST 2011-FIM XX. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814417983_0017.

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Haak, Daniel, Aliaa Doma, Alexander Gombert, and Thomas M. Deserno. "Interconnecting smartphone, image analysis server, and case report forms in clinical trials for automatic skin lesion tracking in clinical trials." In SPIE Medical Imaging, edited by Jianguo Zhang and Tessa S. Cook. SPIE, 2016. http://dx.doi.org/10.1117/12.2216657.

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Miravitlles, Marc, Hendrik Schmidt, and FeeAlexandra Ruehmkorf. "Do Patients In Tiotropium Clinical Trials In COPD Reflect Clinicians Reality? An Analysis Of A Pooled Clinical Trial Database." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a5924.

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Soler, JI García, A. Pareja Rodríguez de Vera, V. Arocas Casañ, OM García Molina, S. Martínez Comendador, E. González Lozano, A. Tomas Luz, MDM Ruiz Jiménez, S. Vicente Sánchez, and A. De la Rubia Nieto. "CP-175 Descriptive analysis of active clinical trials in cardiology service." In 22nd EAHP Congress 22–24 March 2017 Cannes, France. British Medical Journal Publishing Group, 2017. http://dx.doi.org/10.1136/ejhpharm-2017-000640.173.

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Guzzi, Pietro Hiram, Tiziana Larussa, Rosarina Vallelunga, Ludovico Abenavoli, Giuseppe Tradigo, Francesco Luzza, and Pierangelo Veltri. "A Framework for Patient Data Management and Analysis in Randomised Clinical Trials." In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020. http://dx.doi.org/10.1109/bibm49941.2020.9313544.

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Otoo, Mary A., Michelle Uriostigue Preza, Margaret Gavor, Darlene Kitterman, and Oana Danciu. "Abstract 4764: An analysis of factors associated with oncology clinical trial activation at University of Illinois Cancer Center Oncology Clinical Trials Office." In Proceedings: AACR Annual Meeting 2018; April 14-18, 2018; Chicago, IL. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.am2018-4764.

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Mayer, Tobias, Elena Cabrio, and Serena Villata. "ACTA A Tool for Argumentative Clinical Trial Analysis." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/953.

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Argumentative analysis of textual documents of various nature (e.g., persuasive essays, online discussion blogs, scientific articles) allows to detect the main argumentative components (i.e., premises and claims) present in the text and to predict whether these components are connected to each other by argumentative relations (e.g., support and attack), leading to the identification of (possibly complex) argumentative structures. Given the importance of argument-based decision making in medicine, in this demo paper we introduce ACTA, a tool for automating the argumentative analysis of clinical trials. The tool is designed to support doctors and clinicians in identifying the document(s) of interest about a certain disease, and in analyzing the main argumentative content and PICO elements.
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Reports on the topic "Clinical trials analysis"

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Li, Jialiang, Xiaobo Zhang, Sha Rong, Zhihui Zhao, Ke Zhu, and Weihong Li. Acupuncture for osteoporotic vertebral compression fracture:a systematic review and meta-analysis of randomized clinical trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2021. http://dx.doi.org/10.37766/inplasy2021.5.0062.

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Chakraborty, Hrishikesh. A mixed model approach for intent-to-treat analysis in longitudinal clinical trials with missing values. Washington, DC: RTI Press, April 2009. http://dx.doi.org/10.3768/rtipress.2009.mr.0009.0903.

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Yang, Zhijun, Fengyun Yang, and Wenqiang Fu. Moxibustion for lateral epicondylitis: a protocol of systematic review and meta-analysis of randomized clinical trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2021. http://dx.doi.org/10.37766/inplasy2021.5.0078.

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Foong, Keng Wah, YokeLin LO, Sook Hui Chaw, and Pui San Loh. Perioperative systemic exposure of lidocaine for postoperative pain control: A meta-analysis of randomized clinical trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0046.

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Long, Rui, Junying Tian, Shasha Wu, Yang Li, Xiuhua Yang, and Jun Fei. Clinical efficacy of surgical versus conservative treatment for multiple rib fractures: a meta-analysis of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2020. http://dx.doi.org/10.37766/inplasy2020.6.0001.

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Zhao, Lijiao, Yun Li, and Fang Wan. Efficacy and safety With PD1/PDL1 blockade for Metastasis tumor : A systematic review and meta-analysis of randomized clinical trials. INPLASY - International Platform of Registered Systematic Review Protocols, April 2020. http://dx.doi.org/10.37766/inplasy2020.4.0209.

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Li, Jialiang, Weihong Li, Jiexin Wang, Ke Zhu, and Zhihui Zhao. Zusanli (ST36) acupoint injection for chemotherapy-induced nausea and vomiting: a systematic review and meta-analysis of randomized clinical trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2020. http://dx.doi.org/10.37766/inplasy2020.10.0024.

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Rong, Guang. Effects and safety of Wuling Powder versus western medicine in the Treatment of hyperuricemia: A Meta-Analysis of clinical trials. INPLASY - International Platform of Registered Systematic Review Protocols, April 2020. http://dx.doi.org/10.37766/inplasy2020.4.0097.

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Wang, Zhaobo, Yingying Li, Ying Liu, Tao Yang, Yixuan Yu, Junzhi Wang, and Yuan Chi. Clinical Efficacy of Rhythm vs Rate Control in Patients with Atrial Fibrillation(AF) Based on 16 Trials: A Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2021. http://dx.doi.org/10.37766/inplasy2021.1.0093.

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Liu, Wei, Xingxing Li, Zongjing Fan, Jie Cui, and Yang Wu. The efficacy of Xuefu Zhuyu decoction combined with trimetazidine on unstable angina pectoris: A meta-analysis of randomized clinical trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2021. http://dx.doi.org/10.37766/inplasy2021.3.0073.

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