Cardiovascular Risk Factors in Children and Adolescents with Subclinical Hypothyroidism: A Meta-analysis and Systematic Review
Bibliographic record
Abstract
Abstract Introduction: Subclinical hypothyroidism(SCH) is serum thyrotropin slightly increased, while serum free thyroxine level in the normal range, many studies are proving that SCH does increase cardiovascular risk in adults. However, current studies on cardiovascular risk in children and adolescents with SCH have not been conclusive. Therefore, we did a meta-analysis and systematic review of the included case-control and cross-sectional studies to make up for the lack of data in this direction. Methods: We searched the following databases from its inception until May 9, 2020: PubMed, EMBASE, Web of Science, Cochrane Library, CNKI, Wanfang, and VIP. The Newcastle-Ottawa Scale was be used to check on the quality of these studies. I2 statistics and subgroups were be used to analyze heterogeneity. The sensitivity analysis assessed the stability of the results against the overall effect by “leave-one-out”. When the systematic review contains more than 10 articles, funnel plots and egger regression test was be made to evaluate publication bias.Result: Twelve observational studies were enrolled in our meta-analysis. TC was significantly higher in SCH patients than in normal thyroid subjects (WMD=6.01, 95% CI: 3.70-8.31, P<0.00001), TG (WMD=9.86, 95% CI: 5.72-14.01, P<0.00001), LDL (WMD=4.33, 95% CI: 1.78-6.87, P=0.0009), and IVRT (WMD=7.85, 95% CI: 3.99-11.72, P<0.0001). At the same time, we found no significant differences in HDL, IMT, and HOMA-IR between the two groups.Conclusions: Our study confirmed that SCH changes lipid profile and heart function in children and adolescents. Register: The protocol of this systematic review and meta-analysis was registered on the NPLASY (No. 202040182). The protocol has been published, it can be found in https://pubmed.ncbi.nlm.nih.gov/32756074/.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.035 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".