Evidence map›Paper›PMID 37638334›Full record

ReviewStem cells international2023

Use of Multiple Doses of Intravenous Infusion of Umbilical Cord-Mesenchymal Stem Cells for the Treatment of Adult Patients with Severe COVID-19-Related Acute Respiratory Distress Syndrome: Literature Review.

Po-Ren Hsueh, Sung-Jung Ho, Po-Chuen Hsieh, I-Min Liu, Shio-Shin Jean

Open access · goldAbstract readReview
In one paragraph

Review in Stem cells international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Multipotent mesenchymal stromal/stem cell-based therapies for acute respiratory distress syndrome: current progress, challenges, and future frontiers.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
    Review
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

5 authors at 3 institutions in 1 country.

Po-Ren HsuehDepartments of Laboratory Medicine and Internal Medicine, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Sung-Jung HoDivision of Pulmonary Medicine, Department of Internal Medicine, Min-Sheng General Hospital, Taoyuan, Taiwan.
Po-Chuen HsiehDepartment of Pharmacy, College of Pharmacy and Health Care, Tajen University, Pingtung, Taiwan.
I-Min LiuDepartment of Pharmacy, College of Pharmacy and Health Care, Tajen University, Pingtung, Taiwan.
Shio-Shin JeanDepartment of Pharmacy, College of Pharmacy and Health Care, Tajen University, Pingtung, Taiwan.ORCID https://orcid.org/0000-0001-6431-7961
Min Sheng General Hospital · TWTajen University · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Acute respiratory distress syndrome (ARDS) is a critical complication in severe COVID-19 patients. The intravenous infusion (IVF) of umbilical cord- (UC-) mesenchymal stem cells (MSCs), validated to substantially reduce the release of several inflammatory cytokines Methods: We reviewed the 2020-2022 PubMed literature database concerning the clinical efficacy of IVF-UC-MSCs among severe COVID-19 patients. Results: The data of COVID-19 case series in the PubMed literature revealed a notable heterogeneity in the therapeutic dosage (a single dose: 1-10 × 10 Conclusions: According to our analysis, the ideal treatment dosage of IVF-UC-MSCs for severe COVID-19-induced ARDS is likely 5 × 10

Identifiers

PMID37638334
PMCPMC10457163
OpenAlexW4385987166

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.