ArticleNeural regeneration research2014
Stem cell transplantation for treating stroke: status, trends and development.
Article in Neural regeneration research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Current Status of Research on Nanomaterials Combined with Mesenchymal Stem Cells for the Treatment of Ischemic Stroke.Neuromolecular medicine · 2024Review
- Designer Extracellular Vesicles Modulate Pro-Neuronal Cell Responses and Improve Intracranial Retention.Advanced healthcare materials · 2022Article
- Neuromodulation-Based Stem Cell Therapy in Brain Repair: Recent Advances and Future Perspectives.Neuroscience bulletin · 2021Review
- Umbilical cord blood donation: public or private?Bone marrow transplantation · 2015Review
- Scalable efficient expansion of mesenchymal stem cells in xeno free media using commercially available reagents.Journal of translational medicine · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The developing approaches of thrombolytic therapy, endovascular treatment, neuroprotective therapy, and stem cell therapy have enabled breakthroughs in stroke treatment. In this study, we summarize and analyze trends and progress in stem cell transplantation for stroke treatment by retrieval of literature from Thomson Reuters Web of Science database, the NIH Clinical Trial Planning Grant Program, and Clinical Trials Registration Center in North America. In the last 10 years, there has been an increasing number of published articles on stem cell transplantation for stroke treatment. In particular, research from the USA and China has focused on stem cell transplantation. A total of 2,167 articles addressing stem cell transplantation for stroke treatment from 2004 to 2013 were retrieved from the Thomson Reuters Web of Science database. The majority of these articles were from the USA (854, 39.4%), with the journal Stroke publishing the most articles (145, 6.7%). Of the published articles, 143 were funded by the National Institutes of Health (accounting for 6.6% of total publications), and 91 by the National Natural Science Foundation of China. Between 2013 and 2014, the National Institutes of Health provided financial support ($130 million subsidy) for 329 research projects on stroke therapy using stem cell transplantation. In 2014, 215 new projects were approved, receiving grants of up to $70,440,000. Ninety clinical trials focusing on stem cell transplantation for stroke were registered in the Clinical Trial Registration Center in North America, with 40 trials registered in the USA (ranked first place). China had the maximum number of registered research or clinical trials (10 projects).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.