Abnormal Serum Copper and Zinc Levels in Patients with Psoriasis: A 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
Background: Copper and zinc are important trace elements involved in the development of psoriasis. However, reports regarding changes in serum copper and zinc levels in patients with psoriasis have been inconsistent. Aims: This meta-analysis was designed to analyze changes in serum copper and zinc levels between patients with psoriasis and a healthy population. Materials and Methods: English and Chinese literature from international and national electronic databases from 1988 to May 2016 was analyzed. Studies that performed a comparative analysis of serum copper and zinc levels between patients with psoriasis and healthy controls were included in the meta-analysis. The random-effects model was used to calculate the overall combined estimates of serum copper and zinc levels between patients with psoriasis and healthy individuals. Results: Fifteen references were included in this study, including 1324 patients with psoriasis and 1324 healthy controls. Compared with healthy controls, serum copper levels were significantly increased (Z = 4.02, P < 0.0001; standardized mean difference [SMD], 1.23; 95% confidence interval [CI], 0.63 to 1.82), and serum zinc levels were significantly decreased (Z = 2.95, P < 0.0001; SMD, −1.35; 95% CI, −2.25 to − 0.45) in patients with psoriasis. Conclusions: In conclusion, increased serum copper and decreased serum zinc levels were generally observed in patients with psoriasis. Treatments to normalize the serum copper and zinc levels may improve the outcome of psoriasis patients.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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