Evidence map›Paper›PMID 34222074›Full record

ArticleJournal of diabetes and metabolic disorders2021

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

Maryam Khazdouz, Motahareh Hasani, Sanaz Mehranfar, Hanieh-Sadat Ejtahed, Shirin Djalalinia, Armita Mahdavi Gorabi, Mohammad Esmaeili-Abdar, Shahrokh Karbalahi Saleh, Seyed Masoud Arzaghi, Hoda Zahedi and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  6. Metabolic complications of obesity in children and adolescents.Clinical and experimental pediatrics · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 1 country.

Maryam KhazdouzDepartment of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Motahareh HasaniDepartment of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Sanaz MehranfarDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Hanieh-Sadat EjtahedObesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Shirin DjalaliniaNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Armita Mahdavi GorabiProbiotic Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Mohammad Esmaeili-AbdarSocial Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Shahrokh Karbalahi SalehDepartment of Cardiology, School of Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Masoud ArzaghiElderly Health Research Center, Endocrinology and Metabolism Population Science Institute, Tehran University of Medical Sciences, Tehran, Iran.
Hoda ZahediHematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Amir KasaeianHematology, Oncology and Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran.
Mostafa QorbaniNon-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.ORCID 0000-0001-9465-7588
Tehran University of Medical Sciences · IRJahrom University of Medical Sciences · IRIran University of Medical Sciences · IRMinistry of Health and Medical Education · IRShahid Beheshti University of Medical Sciences · IRSina Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNowadays, 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.

methodsWe 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.

resultsTen 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).

conclusionsThe 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.

Indexed as

Continuous metabolic syndrome score (cMetS)Metabolic syndromeSensitivity

Identifiers

PMID34222074
PMCPMC8212237
OpenAlexW3156136844

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.