Atopic dermatitis associated with autoimmune, cardiovascular and mental health comorbidities: a systematic review and meta-analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Previous studies have reported conflicting estimates of associations between atopic dermatitis (AD) and autoimmune, cardiovascular and mental health comorbidities.Our objective was to determine and report these global associations based on a systematic literature review.A systematic search of studies published in PubMed/MEDLINE and Cochrane Library (January 1990 - April 2020) including patients with physician-diagnosed AD and concurrent populations, were identified. The metanalysis (random-effect model) included 37 studies. Studies originated from Europe, UK, Asia, The USA and Canada, including 237,226,993 patients and subjects with 20 autoimmune, eight cardiovascular and eight mental illnesses.Pooled analyses revealed significantly higher overall odds of autoimmune diseases (OR: 1.74; 95% CI: 1.55-1.94, p < 0.001; I2: 98.39%) and mental illnesses (OR: 1.62; 95% CI: 1.53-1.72; p < 0.001; I2: 98.86%) and a smaller increased risk for cardiovascular diseases (OR: 1.08; 95% CI: 0.01-1.16, p < 0.001; I2: 99.45%).Our systematic review highlights that AD patients are at significantly increased risk for many autoimmune diseases and mental illnesses and at a relatively lower risk for cardiovascular diseases. Updated global estimates should encourage physician/patient empowerment to seek further medical and wellness interventions for optimal patient care.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.015 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it