Evidence map›Paper›PMID 25150264›Full record

ArticleStem cells translational medicine2014

Proceedings: cell therapies for Parkinson's disease from discovery to clinic.

Rosa Canet-Aviles, Geoffrey P Lomax, Ellen G Feigal, Catherine Priest

Open access · goldAbstract readConference Proceedings
In one paragraph

Article in Stem cells translational medicine, 2014. 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
0.6field-weighted citation impact, top 28% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 1 institution in 1 country.

Rosa Canet-AvilesCalifornia Institute for Regenerative Medicine, San Francisco, California, USA rcanet-aviles@fnih.org.
Geoffrey P LomaxCalifornia Institute for Regenerative Medicine, San Francisco, California, USA.
Ellen G FeigalCalifornia Institute for Regenerative Medicine, San Francisco, California, USA.
Catherine PriestCalifornia Institute for Regenerative Medicine, San Francisco, California, USA.
California Institute for Regenerative Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In March 2013, the California Institute for Regenerative Medicine, in collaboration with the NIH Center for Regenerative Medicine, held a 2-day workshop on cell therapies for Parkinson's disease (PD), with the goals of reviewing the state of stem cell research for the treatment of PD and discussing and refining the approach and the appropriate patient populations in which to plan and conduct new clinical trials using stem cell-based therapies for PD. Workshop participants identified priorities for research, development, and funding; discussed existing resources and initiatives; and outlined a path to the clinic for a stem cell-based therapy for PD. A consensus emerged among participants that the development of cell replacement therapies for PD using stem cell-derived products could potentially offer substantial benefits to patients. As with all stem cell-based therapeutic approaches, however, there are many issues yet to be resolved regarding the safety, efficacy, and methodology of transplanting cell therapies into patients. Workshop participants agreed that designing an effective stem cell-based therapy for PD will require further research and development in several key areas. This paper summarizes the meeting.

Indexed as

AnimalsCell- and Tissue-Based TherapyHumansParkinson DiseaseCell therapiesClinical trialsExperimental modelsParkinson’s disease

Identifiers

PMID25150264
PMCPMC4149307
OpenAlexW2149758920

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.