Evidence map›Paper›PMID 34632708›Full record

Trial reportJournal of cellular and molecular medicine2021

Conquering the cytokine storm in COVID-19-induced ARDS using placenta-derived decidua stromal cells.

Behnam Sadeghi, Elham Roshandel, Ali Pirsalehi, Sepide Kazemi, Ghazaleh Sankanian, Mohammad Majidi, Maryam Salimi, Nasser Aghdami, Hoda Sadrosadat, Sarvenaz Samadi Kochaksaraei and 3 more

Open access · goldAbstract readClinical Trial, Phase IClinical Trial, Phase II
In one paragraph

Trial report in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Review
  7. Review
  8. The rise of exosome-mediated mechanisms in MSC therapy.Journal of translational medicine · 2025
    Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Mesenchymal Stem Cells in the Treatment of COVID-19.International journal of molecular sciences · 2023
    Review
  15. Review
  16. The Art of Stem Cell-Based Therapy.Advances in experimental medicine and biology · 2023
    Article
  17. Regulation of SARS-CoV-2 infection by diet-modulated gut microbiota.Frontiers in cellular and infection microbiology · 2023
    Review
  18. Review
  19. Review
  20. Article
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

13 authors at 5 institutions in 2 countries.

Behnam SadeghiTranslational Cell Therapy Research (TCR), Department of Clinical Science, Intervention and Technology, CLINTEC, Karolinska Institutet, Huddinge, Sweden.ORCID 0000-0002-8721-0400
Elham RoshandelHematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali PirsalehiDepartment of Internal Medicine, School of Medicine, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sepide KazemiTranslational Cell Therapy Research (TCR), Department of Clinical Science, Intervention and Technology, CLINTEC, Karolinska Institutet, Huddinge, Sweden.
Ghazaleh SankanianHematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad MajidiDepartment of Tissue Engineering & Regenerative Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Maryam SalimiHematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nasser AghdamiDepartment of Regenerative Medicine, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Hoda SadrosadatAdvanced Therapy Medicinal Product (ATMP), Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.
Sarvenaz Samadi KochaksaraeiTranslational Cell Therapy Research (TCR), Department of Clinical Science, Intervention and Technology, CLINTEC, Karolinska Institutet, Huddinge, Sweden.
Farshid AlaeddiniResearch Center for Health Management in Mass Gathering, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran.
Olle RingdenTranslational Cell Therapy Research (TCR), Department of Clinical Science, Intervention and Technology, CLINTEC, Karolinska Institutet, Huddinge, Sweden.
Abbas HajifathaliHematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRAcademic Center for Education, Culture and Research · IRKarolinska Institutet · SEIran University of Medical Sciences · IRRoyan Institute · IR

Funding

Cancer Society in Stockholm 111293SibCell BiotechSwedish Cancer Society 2018/671
6 · The paper itself

Abstract

Acute respiratory distress syndrome (ARDS) is the most common cause of death in COVID-19 patients. The cytokine storm is the main driver of the severity and magnitude of ARDS. Placenta-derived decidua stromal cells (DSCs) have a stronger immunosuppressive effect than other sources of mesenchymal stromal cells. Safety and efficacy study included 10 patients with a median age of 50 (range 14-68) years with COVID-19-induced ARDS. DSCs were administered 1-2 times at a dose of 1 × 10

Indexed as

COVID-19 Drug TreatmentAdolescentAdultAgedCell TransplantationCOVID-19Cytokine Release SyndromeCytokinesFemaleHumansLength of StayMaleMiddle AgedPlacentaPregnancyRespiratory Distress SyndromeCytokinesCOVID-19cytokine stormdecidua stromal cellsintensive care unitsurvival

Identifiers

PMID34632708
PMCPMC8581334
OpenAlexW3207941068

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.