Evidence map›Paper›PMID 32425638›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

Reducing mortality and morbidity in patients with severe COVID-19 disease by advancing ongoing trials of Mesenchymal Stromal (stem) Cell (MSC) therapy - Achieving global consensus and visibility for cellular host-directed therapies.

Alimuddin Zumla, Fu-Sheng Wang, Giuseppe Ippolito, Nicola Petrosillo, Chiara Agrati, Esam I Azhar, Chao Chang, Sherif A El-Kafrawy, Mohamed Osman, Laurence Zitvogel and 7 more

Abstract readEditorial
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Mesenchymal stem cell therapy for severe COVID-19.Signal transduction and targeted therapy · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Alimuddin ZumlaDepartment of Infection, Division of Infection and Immunity, University College London, and National Institutes of Health and Research Biomedical Research Centre, University College London Hospitals NHS Foundation Trust, London, United Kingdom. Electronic address: a.zumla@ucl.ac.uk.
Fu-Sheng WangTreatment and Research Center for Infectious Diseases, The Fifth Medical Center of PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing, China. Electronic address: fswang302@163.com.
Giuseppe IppolitoNational Institute for Infectious Diseases Lazzaro Spallanzani - IRCCS, Rome, Italy. Electronic address: giuseppe.ippolito@inmi.it.
Nicola PetrosilloNational Institute for Infectious Diseases Lazzaro Spallanzani - IRCCS, Rome, Italy. Electronic address: nicola.petrosillo@inmi.it.
Chiara AgratiNational Institute for Infectious Diseases Lazzaro Spallanzani - IRCCS, Rome, Italy. Electronic address: Chiara.Agrati@inmi.it.
Esam I AzharSpecial Infectious Agents Unit, King Fahd Medical Research Center and Medical Laboratory Technology Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: eazhar@kau.edu.sa.
Chao ChangTreatment and Research Center for Infectious Diseases, The Fifth Medical Center of PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing, China. Electronic address: zhangch302@163.com.
Sherif A El-KafrawySpecial Infectious Agents Unit, King Fahd Medical Research Center and Medical Laboratory Technology Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: saelkfrawy@kau.edu.sa.
Mohamed OsmanEmerging and Re-Emerging Diseases, University of Khartoum, Sudan and York Biomedical Research Institute, University of York, United Kingdom. Electronic address: mohamed.osman@york.ac.uk.
Laurence ZitvogelGustave Roussy Cancer Center (GRCC), U1015 INSERM, University Paris Saclay Villejuif Cedex, France. Electronic address: laurence.zitvogel@orange.fr.
Peter R GalleMedical Clinic, University Medical Center Mainz, Germany. Electronic address: Galle@uni-mainz.de.
Franco LocatelliDept of Pediatric Hematology and Oncology, IRCCS Ospedale Bambino Gesu, and Sapienza, University of Rome, Italy. Electronic address: franco.locatelli@opbg.net.
Ellen GormanWellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, United Kingdom; Regional Intensive Care Unit, Royal Victoria Hospital, Belfast, United Kingdom. Electronic address: egorman03@qub.ac.uk.
Carlos Cordon-CardoDept of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, USA. Electronic address: carlos.cordon-cardo@mssm.edu.
Cecilia O'KaneWellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, United Kingdom; Regional Intensive Care Unit, Royal Victoria Hospital, Belfast, United Kingdom. Electronic address: c.okane@qub.ac.uk.
Danny McAuleyWellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, United Kingdom; Regional Intensive Care Unit, Royal Victoria Hospital, Belfast, United Kingdom. Electronic address: d.f.mcauley@qub.ac.uk.
Markus MaeurerMedical Clinic, University Medical Center Mainz, Germany; Champalimaud Centre for the Unknown, Lisbon, Portugal. Electronic address: markus.maeurer@fundacaochampalimaud.pt.

Funding

Medical Research Council MR/M009149/1
6 · The paper itself

Abstract

As of May 17th 2020, the novel coronavirus disease 2019 (COVID-19) pandemic has caused 307,395 deaths worldwide, out of 3,917,366 cases reported to the World Health Organization. No specific treatments for reducing mortality or morbidity are yet available. Deaths from COVID-19 will continue to rise globally until effective and appropriate treatments and/or vaccines are found. In search of effective treatments, the global medical, scientific, pharma and funding communities have rapidly initiated over 500 COVID-19 clinical trials on a range of antiviral drug regimens and repurposed drugs in various combinations. A paradigm shift is underway from the current focus of drug development targeting the pathogen, to advancing cellular Host-Directed Therapies (HDTs) for tackling the aberrant host immune and inflammatory responses which underlie the pathogenesis of SARS-CoV-2 and high COVID-19 mortality rates. We focus this editorial specifically on the background to, and the rationale for, the use and evaluation of mesenchymal stromal (Stem) cells (MSCs) in treatment trials of patients with severe COVID-19 disease. Currently, the ClinicalTrials.gov and the WHO Clinical Trials Registry Platform (WHO ICTRP) report a combined 28 trials exploring the potential of MSCs or their products for treatment of COVID-19. MSCs should also be trialed for treatment of other circulating WHO priority Blueprint pathogens such as MERS-CoV which causes upto 34% mortality rates. It's about time funding agencies invested more into development MSCs per se, and also for a range of other HDTs, in combination with other therapeutic interventions. MSC therapy could turn out to be an important contribution to bringing an end to the high COVID-19 death rates and preventing long-term functional disability in those who survive disease.

Indexed as

BetacoronavirusMesenchymal Stem Cell TransplantationClinical Trials as TopicConsensusCoronavirus InfectionsCOVID-19HumansMorbidityPandemicsPneumonia, ViralSARS-CoV-2

Identifiers

PMID32425638
PMCPMC7231497

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.