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For: Rodolaki K, Pergialiotis V, Sapantzoglou I, Theodora M, Antsaklis P, Pappa K, Daskalakis G, Papapanagiotou A. N-Terminal Pro-B Type Natriuretic Peptide as a Predictive Biomarker of Bronchopulmonary Dysplasia or Death Due to Bronchopulmonary Dysplasia in Preterm Neonates: A Systematic Review and Meta-Analysis. J Pers Med 2023;13:1287. [PMID: 37763055 PMCID: PMC10532602 DOI: 10.3390/jpm13091287] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/13/2023] [Accepted: 08/17/2023] [Indexed: 09/29/2023] Open

For:	Rodolaki K, Pergialiotis V, Sapantzoglou I, Theodora M, Antsaklis P, Pappa K, Daskalakis G, Papapanagiotou A. N-Terminal Pro-B Type Natriuretic Peptide as a Predictive Biomarker of Bronchopulmonary Dysplasia or Death Due to Bronchopulmonary Dysplasia in Preterm Neonates: A Systematic Review and Meta-Analysis. J Pers Med 2023;13:1287. [PMID: 37763055 PMCID: PMC10532602 DOI: 10.3390/jpm13091287] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/13/2023] [Accepted: 08/17/2023] [Indexed: 09/29/2023] Open

Number	Cited by Other Article(s)
1	Artificial intelligence universal biomarker prediction tool. J Thromb Thrombolysis 2024;57:341-343. [PMID: 38117437 DOI: 10.1007/s11239-023-02930-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2023] [Indexed: 12/21/2023] Abstract Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand improvement in the trends of their disease. PyPI tool handles two biomarkers, hbA1c for diabetes and NP-proBNP for heart failure, to predict the next hospital visit. Predicting improvement in disease is a great hope for patients. Collapse Key Words Cardiopulmonary arrest Medication and exercise hbA1c and NT-proBNP Collapse MESH Headings Humans Prognosis Artificial Intelligence Natriuretic Peptide, Brain Peptide Fragments Biomarkers Heart Failure/diagnosis Collapse Grants Collapse Affiliation(s) Collapse

Number

Cited by Other Article(s)

Artificial intelligence universal biomarker prediction tool. J Thromb Thrombolysis 2024;57:341-343. [PMID: 38117437 DOI: 10.1007/s11239-023-02930-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2023] [Indexed: 12/21/2023]