Evidence map›Paper›PMID 35248946›Full record

ReviewInternational immunopharmacology2022

COVID-19 immunotherapy: Treatment based on the immune cell-mediated approaches.

Mahdi Zavvar, Aisan Yahyapoor, Hamed Baghdadi, Sina Zargaran, Sara Assadiasl, Kamal Abdolmohammadi, Amir Hossein Abooei, Mohammad Reza Sattarian, Melina JalaliFarahani, Negar Zarei and 5 more

Open access · greenAbstract readReview
In one paragraph

Review in International immunopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

15 authors at 5 institutions in 2 countries.

Mahdi ZavvarDepartment of Medical Laboratory Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: mahdi.zavvar@gmail.com.
Aisan YahyapoorFaculty of Paramedical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Hamed BaghdadiDepartment of Hematology, Faculty of Medical Sciences, Tarbiat Modarres University, Tehran, Iran.
Sina ZargaranFaculty of Paramedical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Sara AssadiaslMolecular Immunology Research Centre, Tehran University of Medical Sciences, Tehran, Iran.
Kamal AbdolmohammadiDepartment of Immunology, School of Medicine, Iranshahr University of Medical Sciences, Iranshahr, Iran.
Amir Hossein AbooeiDepartment of Medical Laboratory Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Reza SattarianFaculty of Paramedical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Melina JalaliFarahaniDepartment of Medical Laboratory Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Negar ZareiDepartment of Medical Laboratory Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Amirali FarahvashMedipark Medical Center, Urology Ward, Ankara, Turkey.
Yousef FatahiDepartment of Pharmaceutical Nanotechnology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran; Nanotechnology Research Centre, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Gunnur DenizDepartment of Immunology, Aziz Sancar Institute of Experimental Medicine (Aziz Sancar DETAE), Istanbul University, Istanbul, Turkey.
Mitra ZarebavaniDepartment of Medical Laboratory Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein NicknamMolecular Immunology Research Centre, Tehran University of Medical Sciences, Tehran, Iran; Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRIslamic Azad University Medical Branch of Tehran · IRIranshahr University · IRIstanbul University · TRTarbiat Modares University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple efforts are currently underway to control and treat severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing coronavirus disease 2019 (COVID-19) worldwide. Despite all efforts, the virus that emerged in Wuhan city has rapidly spread globally and led to a public health emergency of international concern (PHEIC) due to the lack of approved antiviral therapy. Nevertheless, SARS-CoV-2 has had a significant influence on the evolution of cellular therapeutic approaches. Adoptive immune cell therapy is innovative and offers either promising prophylactic or therapy for patients with moderate-to-severe COVID-19. This approach is aimed at developing safety and providing secure and effective therapy in combination with standard therapy for all COVID-19 infected individuals. Based on the effective results of previous studies on both inflammatory and autoimmune diseases, various immune cell therapies against COVID-19 have been reviewed and discussed. It must be considered that the application of cell therapy for treatment and to eliminate infected respiratory cells could result in excessive inflammation, so this treatment must be used in combination with other treatments, despite its many beneficial efforts.

Indexed as

COVID-19HumansImmunologic FactorsImmunotherapyInflammationSARS-CoV-2Immunologic FactorsCAR-T cell therapyCOVID-19DC therapyImmune cell therapyMSC therapyNK therapySARS-CoV-2Treg therapyViral specific T cell therapy

Identifiers

PMID35248946
PMCPMC8872837
OpenAlexW4214596921

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.