ReviewCureus2024
Role of Neurotrophins in the Development and Treatment of Neurodegenerative Diseases: A Systematic Review.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Article
- BDNF/proBDNF Interplay in the Mediation of Neuronal Apoptotic Mechanisms in Neurodegenerative Diseases.International journal of molecular sciences · 2025Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A considerable amount of morbidity and disability are caused by a wide variety of neurological illnesses together referred to as neurodegenerative diseases. Among them, Alzheimer's and Parkinson's diseases are the most prevalent and have been thoroughly studied. The development of intervention techniques that focus on the unfavorable elements of these diseases, particularly those that could help halt their course, has become increasingly important. This study aims to explain the most current findings about the function of neurotrophins, the signaling pathways they follow in neurodegenerative illnesses, and their possible therapeutic applications. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 criteria served as the foundation for this systematic review. In April 2024, a thorough search was conducted through the Cochrane Library, Google Scholar, PubMed, PubMed Central, and ScienceDirect databases. The predetermined criteria used to choose the research were the English language, narrative and systematic reviews, observational studies, and randomized and non-randomized clinical trials published within the last ten years. Subsequently, each study type-specific quality assessment was conducted utilizing the available assessment method. Of the 3,322 studies found during the first search, 15 were ultimately chosen for inclusion in the final selection. One cohort, one non-randomized clinical trial, one randomized clinical trial, three meta-analyses and systematic reviews, and nine narrative reviews were included. This review has explained in detail the current understanding of how neurotrophins play an essential role in neuroplasticity and neurogenesis, as well as their complex downstream signaling that leads to the process of neurodegeneration. Our study has also highlighted previous studies showing the efficacy of neurotrophins in clinical trials, but the data is limited; more preclinical and clinical studies are needed in this regard. These have also drawn our attention to future clinical trials that will address the challenges faced in their delivery and associated complications. Altogether, neurotrophins could serve as promising targets for therapeutic intervention that could stop or even reverse the development of neuropathology associated with neurodegenerative illnesses.
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.