Evidence map›Paper›PMID 25534590›Full record

ArticleStem cell reviews and reports2015

Radiolabeling strategies for radionuclide imaging of stem cells.

Esther Wolfs, Catherine M Verfaillie, Koen Van Laere, Christophe M Deroose

Abstract read
PubMed Publisher
In one paragraph

Article in Stem cell reviews and reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Imaging in Tumor Immunology.Nuclear medicine and molecular imaging · 2021
    Review
  3. Review
  4. Article
  5. Review
  6. Relevance of immune cell and tumor microenvironment imaging in the new era of immunotherapy.Journal of experimental & clinical cancer research : CR · 2020
    Review
  7. Review
  8. ACS nano · 2019
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

4 authors at 2 institutions in 1 country.

Esther WolfsDivision of nuclear medicine and molecular imaging/ Molecular small animal imaging centre (MoSAIC), Department of imaging and pathology, KU Leuven, Herestraat 49, O&N1, bus 505, Leuven, 3000, Belgium, esther.wolfs@med.kuleuven.be.
Catherine M Verfaillie
Koen Van Laere
Christophe M Deroose
KU Leuven · BEUniversitair Ziekenhuis Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interest in the use of stem cells as a source for therapy has increased dramatically over the last decades. Different stem cell types have been tested in both in vitro and in vivo models, because of their properties such as differentiation potential, trophic effects and immune modulatory properties. To further optimize the use of different stem cell types for the treatment of disease in a clinical setting, it is necessary to know more about the in vivo behavior of these cells following engraftment. Until now, the golden standard to preclinically evaluate cell therapy was histology, which is an invasive method as the animals need to be sacrificed. This hampers the generation of dynamic information and results in only one single point in time available for analysis per animal. For more information regarding cell migration, in situ persistence, viability, proliferation and differentiation, molecular imaging can be used for imaging cells after transplantation dynamically and longitudinally, in a noninvasive way. With this technology, it becomes possible to track cells within the same subjects over a long period of time.

Indexed as

Cell DifferentiationCell MovementCell ProliferationCell TrackingHumansMolecular ImagingRadioisotopesStem CellsStem Cell TransplantationRadioisotopes

Identifiers

PMID25534590
OpenAlexW2073454028

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.