ReviewMedical journal, Armed Forces India2018
Prospective applications of induced pluripotent stem cells in military medicine.
Review in Medical journal, Armed Forces India, 2018. 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.
- An Insight into the Role of GLIS1 in Embryonic Development, iPSC Generation, and Cancer.Advances in experimental medicine and biology · 2024Review
- CRISPR and iPSCs: Recent Developments and Future Perspectives in Neurodegenerative Disease Modelling, Research, and Therapeutics.Neurotoxicity research · 2022Review
- Tissue-Restricted Stem Cells as Starting Cell Source for Efficient Generation of Pluripotent Stem Cells: An Overview.Advances in experimental medicine and biology · 2022Review
- An Overview on Promising Somatic Cell Sources Utilized for the Efficient Generation of Induced Pluripotent Stem Cells.Stem cell reviews and reports · 2021Review
- Therapeutic Applications of Stem Cells and Extracellular Vesicles in Emergency Care: Futuristic Perspectives.Stem cell reviews and reports · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soldiers involved in combat operations worldwide may be subjected to a wide array of tissue-specific injuries of varying degrees, thereby undergoing complicated medical treatments and prolonged rehabilitations. In many cases involving inadequate recovery, soldiers are further mentally traumatized as they can no longer serve their beloved country. In addition, many severe injuries can lead to soldiers being incapacitated for life and unable to perform even the most basic day-to-day activities. Present therapy for combat injuries is majorly aimed at alleviating pain and limiting further tissue damage from secondary infections. Cell-based therapy using stem cells is a promising tissue regenerative source, which will help our soldiers to recuperate from the severe injuries, and in some cases, even continue their service for the country after complete recovery. In this context, we would like to discuss the yet fully untapped potential of induced pluripotent stem cells (iPSCs) in regenerative medicine on the battlefield. In this review, we shall try to explore the rationale behind the use of these cells for military medicine, as well as the conventional and novel approaches to produce them for therapeutic applications. We shall also attempt to elucidate the evolving trends of battlefield injuries throughout history and the ongoing research on regeneration of tissues of specific interest using iPSCs and their potential role in combat medicine in the future. Additionally, we shall also discuss the concept of stem cell bio-banking for military personnel as a personalized safeguard against crippling and traumatic combat injuries.
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.