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Performance of Serum Angiotensin-Converting Enzyme in Diagnosing Sarcoidosis and Predicting the Active Status of Sarcoidosis: A Meta-Analysis.

Xueru HuLi ZouShuyan WangTingting ZengPing LiYong-Chun ShenLei Chen
Published in: Biomolecules (2022)
The usefulness of serum angiotensin-converting enzyme (sACE) for diagnosing sarcoidosis and determining the active status of sarcoidosis has been reported with varying outcomes. On the basis of the majority of published data, we conducted a meta-analysis to calculate the overall predictive accuracy of sACE in sarcoidosis disease and the active status of sarcoidosis. The inclusion of related research listed in Web of Science, PubMed, Scopus, and other literature databases was assessed. SROC curves were generated to characterize the overall test results after data on sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were combined. Publication bias was identified using Deeks' funnel plot. Thirty-five publications with 8645 subjects met the inclusion criteria. The following are summary estimates of sACE diagnostic performance for sarcoidosis: sensitivity, 60% (95% confidence interval (CI), 52-68%); specificity, 93% (95% CI, 88-96%); PLR, 8.4 (95% CI, 5.3-13.3); NLR, 0.43 (95% CI, 0.36-0.52); and DOR, 19 (95% CI, 12-31). The area under the SROC curve (AUC) was 0.84 (95% CI, 0.80-0.87). Summary estimates for predicting the active status of sarcoidosis were as follows: sensitivity, 0.76 (95% CI, 0.61-0.87); specificity, 0.80 (95% CI, 0.64-0.90); PLR, 3.9 (95% CI, 2.1-7.3); NLR, 0.29 (95% CI, 0.17-0.49); and DOR, 13 (95% CI, 6-31). The AUC was 0.85 (95% CI, 0.82-0.88). There was no evidence of publication bias. Our meta-analysis suggests that measuring the sACE may assist in the diagnosis of sarcoidosis and predicting the active status of sarcoidosis, but the interpretation of the sACE results should be with caution. Future studies should validate our results.
Keyphrases
  • angiotensin converting enzyme
  • systematic review
  • angiotensin ii
  • public health
  • big data
  • adipose tissue
  • skeletal muscle