| Literature DB >> 32615862 |
Peng Xu1, Xiangyu Xing2,3, Keying Yu4, Zhiguo Lv1, Huijing Cui5, Yuhang Shi6, Tianying Chang7, Dongmei Zhang8, Yibin Zhang9, Kai Wang9, Jing Lu10, Qingxia Huang10, Xiangyan Li11, Yingzi Cui7, Li Shi12, Tan Wang12, Junqi Niu2, Jian Wang1.
Abstract
The COVID-19 pandemic has caused a global public health crisis. There is a pressing need for evidence-based interventions to address the devastating clinical and public health effects of the COVID-19 pandemic. The Chinese scientists supported by private and government resources have adopted extensive efforts to identify effective drugs against the virus. To date, a large number of clinical trials addressing various aspects of COVID19 have been registered in the Chinese Clinical Trial Registry (ChiCTR), including more than 200 interventional studies. Under such an urgent circumstance, the scope and quality of these clinical studies vary significantly. Hence, this review aims to make a comprehensive analysis on the profiles of COVID-19 clinical trials registered in the ChiCTR, including a wide range of characteristics. Our findings will provide a useful summary on these clinical studies since most of these studies will encounter major challenges from the design to completion. It will be a long road for the outcomes of these studies to be published and international collaboration will help the ultimate goals of developing new vaccines and anti-viral drugs.Entities:
Keywords: COVID-19; Traditional Chinese Medicine; anti-viral drug; clinical trials; vaccine
Mesh:
Substances:
Year: 2020 PMID: 32615862 PMCID: PMC7473047 DOI: 10.1080/22221751.2020.1791736
Source DB: PubMed Journal: Emerg Microbes Infect ISSN: 2222-1751 Impact factor: 7.163
Figure 1.The number of registered COVID-19 clinical trials, ranging from January 2020 to April 2020 in China. The X-axis is the trend of the registration date. The Y-axis is the number of COVID-19 clinical trials, and divided into two types of interventions. TCM: traditional Chinese medicine. WM: western medicine.
General characteristic of COVID-19 clinical trials from ChiCTR.
| Variables | No (%) |
|---|---|
| Ethics approval ( | |
| Yes | 521 (84.4) |
| No | 96 (15.6) |
| The primary purpose ( | |
| Treatment | 265 (42.9) |
| Prevention | 93 (15.1) |
| Other purposes | 259 (42.0) |
| Clinical trial phase (interventional studies, | |
| Phase I | 6 (2.2) |
| Phase I/ phase II | 14 (5.3) |
| Phase II | 15 (5.7) |
| Phase II / phase III | 3 (1.1) |
| Phase III | 4 (1.5) |
| Phase IV | 108 (40.8) |
| Not applicable | 115 (43.4) |
| Enrolment (interventional studies, | |
| 0–99 | 121 (45.7) |
| 100–499 | 114 (43.0) |
| 500–999 | 14 (5.3) |
| ≥1000 | 11 (4.2) |
| Not available | 5 (1.8) |
| Number of facilities (interventional studies, | |
| Single facility | 176 (66.4) |
| 2–5 facilities | 72 (27.2) |
| 6–10 facilities | 15 (5.6) |
| >10 facilities | 2 (0.8) |
| Lead sponsor (interventional studies, | |
| Universities/hospitals | 226 (85.3) |
| Industry | 39 (14.7) |
| Overall status (interventional studies, | |
| Recruiting | 131 (49.4) |
| Not yet recruiting | 105 (39.6) |
| Suspended | 27 (10.2) |
| Completed | 2 (0.8) |
Design of 265 interventional COVID-19 clinical trials.
| Variables | No (%) ( |
|---|---|
| Allocation | |
| Randomized | 157 (59.2) |
| Non-randomized | 108 (40.8) |
| Blinding | |
| Open-label | 247 (93.2) |
| Single-blind | 5 (1.9) |
| Double-blind | 12 (4.5) |
| Triple-blind | 1 (0.4) |
| Type of participants | |
| Confirmed case | 78 (29.4) |
| Common case | 31 (11.7) |
| Wild case /common case | 30 (11.3) |
| Wild case /severe case | 24 (9.1) |
| Severe case | 19 (7.2) |
| Severe case /critical case | 18 (6.8) |
| Common/severe case | 16 (6.0) |
| Rehabilitation case | 11(4.2) |
| Critical/suspected case | 9 (3.4) |
| Wild case | 9 (3.4) |
| Suspected/confirmed case | 8 (3.0) |
| Suspected case | 7 (2.6) |
| Healthy people | 5 (1.9) |
| Number of primary outcomes | |
| 1 | 175 (66.0) |
| 2–5 | 73 (27.5) |
| 6–9 | 15 (5.7) |
| >10 | 2 (0.8) |
Overview of candidate interventions from 265 COVID-19 clinical trials
| Intervention Categories | Intervention Subcategories | No (%) ( |
|---|---|---|
| Anti-malarial drugs | 43 (16.2) | |
| Chloroquine phosphate | 30 | |
| Hydroxychloroquine | 7 | |
| Phosphoric chloroquine | 4 | |
| Chloroquine | 2 | |
| Anti-viral drugs | 29 (10.9) | |
| Ritonavir plus lopinavir | 8 | |
| Recombinant interferon | 4 | |
| Favipiravir | 4 | |
| Azzedine | 3 | |
| Baloxavir marboxil | 2 | |
| Darunavir | 2 | |
| Ganovo | 2 | |
| ASC09/ritonavir | 1 | |
| Arbidol hydrochloride | 1 | |
| Carrimycin | 1 | |
| Triazavirin | 1 | |
| Stem cells | 16 (6.0) | |
| Mesenchymal stem cells | 9 | |
| Umbilical cord mesenchymal stem cell-conditioned medium | 1 | |
| Umbilical cord blood mononuclear cells | 1 | |
| Menstrual blood-derived stem cells | 1 | |
| Human menstrual blood-derived stem cells | 1 | |
| NK cells and mesenchymal stem cells | 1 | |
| Umbilical cord blood plasma | 1 | |
| Cord blood mesenchymal stem cells | 1 | |
| Immunomodulators | 13 (4.9) | |
| Convalescent plasma | 11 | |
| CMAB806 (IL-6) | 1 | |
| NLRP Inflammasome inhibitor (Tranilast) | 1 | |
| Monoclonal antibodies | 6 (2.3) | |
| Tocilizumab | 2 | |
| Adalimumab | 1 | |
| Ixekizumab | 1 | |
| Camrelizumab | 1 | |
| PD-1 | 1 | |
| Corticosteroid | Methylprednisolone | 4 (1.5) |
| Vaccine | 4 (1.5) | |
| Vaccine (adenoviral vector) | 2 | |
| Vaccine (vero cells) | 1 | |
| DC vaccine | 1 |