Open AccessDiagnostic accuracy of glycogen phosphorylase BB for myocardial infarction: A systematic review and meta‐analysis
Author(s) -
Ghimire Anup,
Giri Subarna,
Khanal Niharika,
Rayamajhi Shivani,
Thapa Anjila,
Bist Anil,
Devkota Surya
Publication year - 2022
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.24368
Subject(s) - medicine , meta analysis , myocardial infarction , cochrane library , contingency table , statistics , mathematics
Purpose We tried to investigate the diagnostic accuracy of glycogen phosphorylase BB as a cardiac marker for myocardial infarction. Methods We searched through different electronic databases (PubMed, Google‐scholar, Embase, and Cochrane Library) to locate relevant articles. Studies, with sufficient data to reconstruct a 2 × 2 contingency table, met our inclusion criteria were included. Three reviewers independently screened the articles. Discrepancies were resolved by other reviewers. Unpublished data were requested from the authors of the study via email. Subsequently, data extraction was done using a standardized form and quality assessment of studies using the QUADAS‐2 tool. Meta‐analysis was done using a bivariate model using R software. Results Fourteen studies were selected for the final evaluation, which yielded the summary points: pooled sensitivity 87.77% (77.52%–93.72%, I 2 = 86%), pooled specificity 88.45% (75.59%–94.99%, I 2 = 88%), pooled DOR 49.37(14.53–167.72, I 2 = 89%), and AUC of SROC was 0.923. The lambda value of the HSROC curve was 3.670. The Fagan plot showed that GPBB increases the pretest probability of myocardial infarction from 46% to 81% when positive, and it lowers the same probability to 12% when negative. Conclusion With these results, we can conclude that GPBB has modest accuracy in screening myocardial infarction, but the limitations of the study warrant further high‐quality studies to confirm its usefulness in predicting myocardial infarction (MI).