Atopic dermatitis and bone health: a systematic review
Bibliographic record
Abstract
Atopic dermatitis (AD) is associated with systemic inflammation and systemic corticosteroid use which can lead to poor bone health. The aim of this systematic review is to investigate the relationship between AD and bone mineral density (BMD), osteoporosis and fractures. We searched Web of Science, Cochrane Database of Systematic Reviews, MEDLINE and Embase. Title, abstract and full-text screening, and data extraction were done in duplicate. Quality appraisal was performed using the Agency for Healthcare Research and Quality Methodology Checklist (cross-sectional studies) and Newcastle-Ottawa Scale (cohort studies). We screened 3800 abstracts and included fifteen studies (twelve cross-sectional, three cohort). In cross-sectional studies, AD was associated with decreased BMD and increased fractures. In cross-sectional studies and a cohort study, AD was associated with a higher prevalence of osteoporosis compared to controls. There was inconsistency across studies, with some finding no association. In a large cohort study, AD was associated with increased risk of fractures of the hip (HR: 1.06, 95% CI: 1.02 to 1.11), spine (HR: 1.14, 95% CI: 1.06 to 1.23) and wrist (HR: 1.06, 95% CI: 1.01 to 1.10), with further increased risk with more severe AD. Differences between studies precluded quantitative synthesis. There is some evidence supporting an association between AD and poor bone health. Research is needed to clarify this association, underlying mechanisms and develop strategies to improve bone health of individuals with AD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".