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Baseline results of a living systematic review for COVID-19 clinical trial registrations.
Maguire, Brittany J; McLean, Alistair R D; Rashan, Sumayyah; Antonio, Emilia Sitsofe; Bagaria, Jayshree; Bentounsi, Zineb; Brack, Matthew; Caldwell, Fiona; Carrara, Verena Ilona; Citarella, Barbara Wanjiru; Dahal, Prabin; Feteh, Vitalis Fambombi; H B Guérin, Marius; Kennon, Kalynn; Bilton Lahaut, Kathinka; Makuka, Gerald Jamberi; Ngu, Roland; Obiesie, Sopuruchukwu; Richmond, Caitlin; Singh-Phulgenda, Sauman; Strudwick, Samantha; Tyrrell, Carina S B; Schwinn, Austin; King, David; Newton, Paul N; Price, Ric N; Merson, Laura; Stepniewska, Kasia; Guérin, Philippe J.
  • Maguire BJ; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • McLean ARD; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Rashan S; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • Antonio ES; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Bagaria J; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • Bentounsi Z; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Brack M; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Caldwell F; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • Carrara VI; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
  • Citarella BW; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • Dahal P; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Feteh VF; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • H B Guérin M; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Kennon K; Shoklo Malaria Research Unit, Mahidol-Oxford University Research Unit, Mahidol University, Mae Sot, Tak, Thailand.
  • Bilton Lahaut K; Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
  • Makuka GJ; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • Ngu R; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Obiesie S; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • Richmond C; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Singh-Phulgenda S; Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK.
  • Strudwick S; Health and Human Development (2HD) Research Network, Douala, Cameroon.
  • Tyrrell CSB; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • Schwinn A; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • King D; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Newton PN; Faculty of Medicine, University of Oslo, Oslo, Norway.
  • Price RN; Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
  • Merson L; Infectious Diseases Data Observatory (IDDO), Oxford, UK.
  • Stepniewska K; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Guérin PJ; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Wellcome Open Res ; 5: 116, 2020.
Article in English | MEDLINE | ID: covidwho-914800
ABSTRACT

Background:

Since the coronavirus disease 2019 (COVID-19) outbreak was first reported in December 2019, many independent trials have been planned that aim to answer similar questions. Tools allowing researchers to review studies already underway can facilitate collaboration, cooperation and harmonisation. The Infectious Diseases Data Observatory (IDDO) has undertaken a living systematic review (LSR) to provide an open, accessible and frequently updated resource summarising characteristics of COVID-19 study registrations.

Methods:

Review of all eligible trial records identified by systematic searches as of 3 April 2020 and initial synthesis of clinical study characteristics were conducted. In partnership with Exaptive, an open access, cloud-based knowledge graph has been created using the results. 

Results:

There were 728 study registrations which met eligibility criteria and were still active. Median (25 th, 75 th percentile) sample size was 130 (60, 400) for all studies and 134 (70, 300) for RCTs. Eight lower middle and low income countries were represented among the planned recruitment sites. Overall 109 pharmacological interventions or advanced therapy medicinal products covering 23 drug categories were studied. Majority (57%, 62/109) of them were planned only in one study arm, either alone or in combination with other interventions. There were 49 distinct combinations studied with 90% (44/49) of them administered in only one or two study arms. The data and interactive platform are available at https//iddo.cognitive.city/.

Conclusions:

 Baseline review highlighted that the majority of investigations in the first three months of the outbreak were small studies with unique treatment arms, likely to be unpowered to provide solid evidence.  The continued work of this LSR will allow a more dependable overview of interventions tested, predict the likely strength of evidence generated, allow fast and informative filtering of relevant trials for specific user groups and provide the rapid guidance needed by investigators and funders to avoid duplication of efforts.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: Wellcome Open Res Year: 2020 Document Type: Article Affiliation country: Wellcomeopenres.15933.1

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: Wellcome Open Res Year: 2020 Document Type: Article Affiliation country: Wellcomeopenres.15933.1