ReviewCurrent neuropharmacology2026
Advances in the Mechanism of ceRNA Regulation in Postoperative Cognitive Dysfunction.
Review in Current neuropharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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0 citing papers in PubMed.
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Authors and funding
8 authors.
Funding
Abstract
Postoperative cognitive dysfunction (POCD) is a common central nervous system complication in elderly patients after surgery, characterized by cognitive changes, including impaired learning and memory, reduced attention, and mental disorders and personality changes in severe cases. Despite extensive research, effective targeted therapies remain elusive, underscoring the urgent need to elucidate their molecular mechanisms and identify novel therapeutic targets. Non-coding RNAs (ncRNAs), major transcription products of the human genome, are highly expressed in the central nervous system and play critical roles in regulating neuronal and synaptic complexity through interactions with other biomolecules. Notably, certain ncRNAs modulate gene expression networks by regulating miRNAs, a phenomenon known as the competing endogenous RNA (ceRNA) mechanism. In this review, we summarized and analyzed emerging evidence on ceRNA-mediated regulatory mechanisms in POCD pathogenesis, aiming to establish a foundation for future mechanistic exploration and therapeutic development.
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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.