Evidence map›Paper›PMID 27335697›Full record

ReviewAmerican journal of stem cells2016

Comparison of stem cell therapies for acute kidney injury.

Carol J Barnes, Casey T Distaso, Kristin M Spitz, Valerie A Verdun, Aviad Haramati

Abstract readReview
In one paragraph

Review in American journal of stem cells, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Allogeneic Mesenchymal Stem Cells for Treatment of AKI after Cardiac Surgery.Journal of the American Society of Nephrology : JASN · 2018
    Trial
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  19. Tissue Engineering and Stem Cell Therapy in Pediatric Urology.Journal of Indian Association of Pediatric Surgeons
    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.

Carol J BarnesGeorgetown University School of Medicine Washington, DC, USA.
Casey T DistasoGeorgetown University School of Medicine Washington, DC, USA.
Kristin M SpitzGeorgetown University School of Medicine Washington, DC, USA.
Valerie A VerdunGeorgetown University School of Medicine Washington, DC, USA.
Aviad HaramatiDepartment of Biochemistry and Molecular and Cellular Biology, Georgetown University School of Medicine Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is the rapid onset of decreased kidney function that ultimately increases mortality and morbidity. Stem cell research is a promising avenue for curative and preventative therapies of kidney injury, however, there are many types of stem cells under investigation. Currently there is no research to compare the value of one stem cell method over another. Induced pluripotent stem cells (iPSCs) and spermatogonial stem cells (SSCs) have been shown to differentiate into renal cells, though further clinical research is needed to fully explore potential therapeutic strategies. Mesenchymal stem cells (MSCs) have long been investigated in the preclinical setting and have recently been successful in Phase I clinical trials. MSCs may represent a promising new therapeutic approach to treat AKI as they demonstrate renoprotective effects post-injury via the secretion of promitotic, anti-apoptotic, anti-inflammatory, and immunomodulatory factors. Given the most current research, MSCs appear to offer a promising course of treatment for AKI.

Indexed as

acute kidney injuryAKIInduced pluripotent stem cellsmesenchymal stem cellsspermatogonial stem cellstreatment

Identifiers

PMID27335697
PMCPMC4913292

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.