Evidence Hub

Diagnostic Accuracy of Creatine Kinase Isoenzyme-MM Test in Newborn Screening for Duchenne Muscular Dystrophy: A Systematic Review and Meta-Analysis

Liang Tang, Meng-Qiu Pan, Fan Wu

Pediatric Neurology, 2024

5 citations

Abstract

BACKGROUND

To systematically evaluate the diagnostic accuracy of the creatine kinase isoenzyme-MM (CK-MM) test in newborn screening for Duchenne muscular dystrophy (DMD).

METHODS

A comprehensive literature search was conducted up to October 31, 2022, in PubMed, Embase, Cochrane Library, Web of Science, and Scopus Database. To evaluate the diagnostic value, the sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), area under the curve (AUC), and Q∗ index were pooled. Threshold effect followed by subgroup analysis and meta-regression were performed to explore the source of heterogeneity. Sensitivity analysis was used to verify the robustness of the findings.

RESULTS

A total seven studies with 248,853 newborns was included in our meta-analysis. The pooled SEN and SPE were 1.00 (95% confidence interval [CI]: 0.89∼1.00) and 1.00 (95% CI: 1.00 to 1.00), respectively; the PLR and NLR were 1004.59 (95% CI: 251.37∼4014.91) and 0.13 (95% CI: 0.05∼0.34), respectively; the DOR was 877.96 (95% CI: 983.24∼78,366.32); the AUC and Q index were 0.8683 and 0.9326, respectively. Sensitivity analysis showed that two studies had an impact on the pooled results and mainly contributed to the heterogeneity.

CONCLUSIONS

CK-MM test demonstrated high accuracy in newborn screening for DMD and may be a valuable alternative in the early diagnosis of the disease followed by confirmatory genetic testing.

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free