Validity of continuous metabolic syndrome score for predicting metabolic syndrome; a systematic review and meta-analysis



Nowadays, use of continuous metabolic syndrome (cMetS) score has been suggested to improve recognition of metabolic syndrome (MetS). The aim of this study was to evaluate the validity of cMetS scores for predicting MetS.


We searched the electronic databases included MEDLINE/PubMed, Embase, ISI Web of Science, and Scopus from 1 January 1980 to 30 September 2020. Observational studies on participants with different cMetS scores were included in this meta-analysis. The sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR) and diagnostic odds ratio (DOR) with 95% CI were calculated.


Ten studies involving a total of 25,073 participants were included. All studies had cross-sectional design. The pooled sensitivity and specificity of cMetS scores for predicting MetS were 0.90 (95% CI: 0.83 to 0.95) and 0.86 (95% CI: 0.83 to 0.89), respectively. Moreover, cMetS scores had the pooled LR+ of 6.5 (95% CI: 5.0 to 8.6), and a pooled (LR-) of 0.11 (95% CI: 0.063 to 0.21). The pooled DOR of cMetS scores to predict MetS were 57 (95% CI: 26 to 127).


The high sensitivity and specificity of cMetS scores indicates that it has a high accuracy to predict the risk of MetS. Furthermore, the cMetS scores has a good ability to rule out healthy people.

Study registration

This study was registered as PROSPERO CRD42020157273.

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The authors are thankful of Emam Ali clinical research development unit for their assistance.

Availability of data and materials

Please contact corresponding author for data requests.


This study was funded and designed by Alborz University of Medical Sciences.

Author information




MK, MH, SM, HSE, SD, SKS, AMG, MQ, AK design and data gathering, MQ, SD, MEA, SKS, AK design and revision, MQ, AK data analysis. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Amir Kasaeian or Mostafa Qorbani.

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The Research and Ethics council of Alborz University of Medical Sciences approved the study.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Appendix 1

Fig. 6

Graph quality assessment subgroup

Fig. 7

Graph population subgroup

Fig. 8

Graph cMetS subsets

Appendix 2

Fig. 9

Graph population subgroup

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Khazdouz, M., Hasani, M., Mehranfar, S. et al. Validity of continuous metabolic syndrome score for predicting metabolic syndrome; a systematic review and meta-analysis. J Diabetes Metab Disord (2021).

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  • Continuous metabolic syndrome score (cMetS)
  • Metabolic syndrome
  • Sensitivity