Evidence map›Paper›PMID 38800472›Full record

SynthesisFrontiers in endocrinology2024

Meta-analysis shows that mesenchymal stem cell therapy can be a possible treatment for diabetes.

Umm E Habiba, Nasar Khan, David Lawrence Greene, Khalil Ahmad, Sabiha Shamim, Amna Umer

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Advancements in diabetes research and stem cell therapy: a concise review.Journal of diabetes and metabolic disorders · 2025
    Review
  10. Review
  11. Review
  12. Review
  13. Article
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  15. 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

6 authors.

Umm E Habiba *Research and Development (R&D) Department, R3 Medical Research LLC, Scottsdale, AZ, United States.
Nasar Khan *Research and Development (R&D) Department, R3 Medical Research LLC, Scottsdale, AZ, United States.
David Lawrence GreeneResearch and Development (R&D) Department, R3 Medical Research LLC, Scottsdale, AZ, United States.
Khalil AhmadDepartment of Statistics, Quaid-i-Azam University, Islamabad, Pakistan.
Sabiha ShamimResearch and Development (R&D) Department, R3 Medical Research LLC, Scottsdale, AZ, United States.
Amna UmerResearch and Development (R&D) Department, R3 Medical Research LLC, Scottsdale, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This meta-analysis includes the systematic literature review and meta-analysis involving clinical trials to assess the efficacy and safety of mesenchymal stem cell (MSC) transplantation for treating T1DM and T2DM. Methods: We searched PubMed, ScienceDirect, Web of Science, clinicaltrials.gov, and Cochrane Library for "published" research from their inception until November 2023. Two researchers independently reviewed the studies' inclusion and exclusion criteria. Our meta-analysis included 13 studies on MSC treatment for diabetes. Results: The MSC-treated group had a significantly lower HbA1c at the last follow-up compared to the baseline (MD: 0.95, 95% CI: 0.33 to 1.57, Conclusion: The transplantation of MSCs has been found to positively impact both types of diabetes mellitus without signs of apparent adverse effects.

Indexed as

Mesenchymal Stem Cell TransplantationDiabetes MellitusDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2HumansMesenchymal Stem CellsTreatment Outcomeclinical trialsdiabetes mellitusmesenchymal stem cellregenerative medicinestem cell therapy

Identifiers

PMID38800472
PMCPMC11116613

What OpenQuestion holds

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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.