ArticleMedicine2022
Identification of perioperative neurocognitive dysfunction biomarkers in cerebrospinal fluid with quantitative proteomic approach in patients undergoing transurethral resection of prostate with combined spinal and epidural analgesia.
Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- The association between diabetes mellitus and postoperative cognitive dysfunction: a systematic review and meta-analysis.International journal of surgery (London, England) · 2025Pooled it
- Correlation of Neuroinflammation and Therapeutic Targets in Perioperative Neurocognitive Disorders.Current pharmaceutical biotechnology · 2025Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to identify predictive biomarkers of perioperative neurocognitive dysfunction (PND) in cerebrospinal fluid of elderly male patients undergoing elective transurethral resection of prostate, using an isobaric tags for relative and absolute quantitative-based quantitative proteomic approach.
methodsPatients were evaluated with Mini Mental State Examination at -1 and+3 days of operation. Presence of PND was determined with Z-score method. Patients characteristics and quantitative cerebrospinal fluid proteomes detected with isobaric tags for relative and absolute quantitative-were compared between PND and non-PND patients. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis were performed to identify pathways potentially involved in PND.
resultA total of 229 patients were included in the study and 32 were diagnosed with PND (incidence 14.4%). The age, incidence of hypertension, and diabetes of PND patients were significantly higher than non-PND patients (P < .05). There were 85 differentially expressed proteins identified, among which High Mobility Group Box 1, prostaglandin D synthase, and matrix metalloproteinase inhibitor were considered to be promising candidates as they might play important roles in pathophysiology of PND.
conclusionProteomic approach identified potential biomarkers for predicting the occurrence of PND. These findings need to be validated in further studies.
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Registered trials
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