Evidence map›Paper›PMID 35600010›Full record

ArticleClinical case reports2022

Decidual stromal cell therapy for generalized lymphadenopathy as a special clinical manifestation of COVID-19 infection: A case report.

Ali Pirsalehi, Masoud Soleimani, Abbas Hajifathali, Behnam Sadeghi, Behrouz Farhadihosseinabadi, Sedigheh Sadat Akhlaghi, Elham Roshandel

Abstract readCase Reports
In one paragraph

Article in Clinical case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

7 authors.

Ali PirsalehiDepartment of Internal Medicine School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.
Masoud SoleimaniHematopoietic Stem Cell Research Center Shahid Beheshti University of Medical Sciences Tehran Iran.
Abbas HajifathaliHematopoietic Stem Cell Research Center Shahid Beheshti University of Medical Sciences Tehran Iran.
Behnam SadeghiTranslational Cell Therapy Research (TCR) Department of Clinical Science, Intervention and Technology CLINTEC Karolinska Instituted Huddinge Sweden.
Behrouz FarhadihosseinabadiHematopoietic Stem Cell Research Center Shahid Beheshti University of Medical Sciences Tehran Iran.
Sedigheh Sadat AkhlaghiDepartment of Internal Medicine School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.
Elham RoshandelHematopoietic Stem Cell Research Center Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-3698-4342

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We are going through the greatest global health crisis of the last decades, the coronavirus disease 2019 (COVID-19) pandemic. It may cause morbidity and mortality in some cases, and there is no therapeutic approach with reproducible and favorable outcomes. As clinical manifestations differ from patient to patient, any report regarding clinical symptoms has been beneficial for early detection and treatment. Due to the immunomodulatory effect of mesenchymal stem cells (MSCs), MSCs-based therapy has been approved to be one of the therapeutic strategies for COVID-19 management. For the first time in the literature, we reported generalized lymphadenopathy with fever and no sign of respiratory distress in a 16-year-old patient with confirmed COVID-19 infection as the main clinical signs. We also introduce decidual stromal cells as a potential immunomodulatory treatment for COVID-19-infected patients.

Indexed as

COVID‐19COVID‐19 cell therapydecidual stromal cellgeneralized lymphadenopathy

Identifiers

PMID35600010
PMCPMC9109646

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Registered trials

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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.