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Datasheet1_Utility of electrocardiogram to predict the occurrence of the no-reflow phenomenon in patients undergoing primary percutaneous coronary intervention (PPCI): a systematic review and meta-analysis.docx

Title: Datasheet1_Utility of electrocardiogram to predict the occurrence of the no-reflow phenomenon in patients undergoing primary percutaneous coronary intervention (PPCI): a systematic review and meta-analysis.docx
Authors: Elmira Jafari Afshar; Niloofar Gholami; Parham Samimisedeh; MohammadHossein MozafaryBazargany; Amirhossein Tayebi; Amirhossein Memari; Sharooz Yazdani; Hadith Rastad
Publication Year: 2024
Collection: Frontiers: Figshare
Subject Terms: Cardiology; Cardiology (incl. Cardiovascular Diseases); Cardiorespiratory Medicine and Haematology not elsewhere classified; coronary no-reflow; ECG; electrocardiogram; no-reflow phenomenon; percutaneous coronary intervention; PPCI
Description: Background The no-reflow phenomenon affects about one out of five patients undergoing Primary Percutaneous Coronary Intervention (PPCI). As the prolonged no-reflow phenomenon is linked with unfavorable outcomes, making early recognition is crucial for effective management and improved clinical outcomes in these patients. Our review study aimed to determine whether electrocardiogram (ECG) findings before PCI could serve as predictors for the occurrence of the no-reflow phenomenon. Methods and materials We systematically searched MEDLINE, Scopus, and Embase to identify relevant studies. The random-effect model using inverse variance and Mantel-Haenszel methods were used to pool the standardized mean differences (SMD) and odds ratios (OR), respectively. Result Sixteen eligible articles (1,473 cases and 4,264 controls) were included in this study. Based on our meta-analysis of baseline ECG findings, the no-reflow group compared to the control group significantly had a higher frequency of fragmented QRS complexes (fQRS) (OR (95% CI): 1.35 (0.32–2.38), P-value = 0.01), and Q-waves (OR (95% CI): 1.97 (1.01–2.94), P-value
Document Type: dataset
Language: unknown
DOI: 10.3389/fcvm.2023.1295964.s001
Availability: https://doi.org/10.3389/fcvm.2023.1295964.s001; https://figshare.com/articles/dataset/Datasheet1_Utility_of_electrocardiogram_to_predict_the_occurrence_of_the_no-reflow_phenomenon_in_patients_undergoing_primary_percutaneous_coronary_intervention_PPCI_a_systematic_review_and_meta-analysis_docx/24956088
Rights: CC BY 4.0
Accession Number: edsbas.80FCBD3A
Database: BASE