Evidence map›Paper›PMID 27356065›Full record

ReviewHealth physics2016

Adult Mesenchymal Stem Cells and Radiation Injury.

Juliann G Kiang

Abstract readReview
In one paragraph

Review in Health physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Targets for protection and mitigation of radiation injury.Cellular and molecular life sciences : CMLS · 2020
    Review
  11. Review
  12. Mitochondrial adaptation in human mesenchymal stem cells following ionizing radiation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  13. Review
  14. Article
  15. Article
  16. 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

1 author at 1 institution in 1 country.

Juliann G Kiang*Scientific Research Department, Armed Forces Radiobiology Research Institute; Department of Radiation Biology, Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 20889-1076.
Uniformed Services University of the Health Sciences · US

Funding

Ciprofloxacin enhances DNA repair capacity after radiation combined injuryR33AI080553 · NIAID · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI KIANG, JULIANN GONG · 2010 to 2012
$1.1M
Ciprofloxacin enhances DNA repair capacity after radiation combined injuryR21AI080553 · NIAID · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI KIANG, JULIANN GONG · 2008 to 2009
$378k
NIAID NIH HHS R21 AI080553NIAID NIH HHS R33 AI080553NIAID NIH HHS Y01 AI005045
6 · The paper itself

Abstract

Recent understanding of the cellular and molecular signaling activations in adult mesenchymal stem cells (MSCs) has provided new insights into their potential clinical applications, particularly for tissue repair and regeneration. This review focuses on these advances, specifically in the context of self-renewal for tissue repair and recovery after radiation injury. Thus far, MSCs have been characterized extensively and shown to be useful in mitigation and therapy for acute radiation syndrome and cognitive dysfunction. Use of MSCs for treating radiation injury alone or in combination with additional trauma is foreseeable.

Indexed as

AnimalsBrain InjuriesEvidence-Based MedicineHumansMesenchymal Stem CellsMesenchymal Stem Cell TransplantationMiceRadiation InjuriesRecovery of FunctionTreatment Outcome

Identifiers

PMID27356065
PMCPMC4929992
OpenAlexW2469460382

What OpenQuestion holds

Textmetadata
LicenceTDM
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.