Anti-TNFα therapy in the management of psoriasis: experience of a state referral center
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: Psoriasis is a chronic immune-mediated disease, characterized by increased levels of TNFα. Anti-TNFα agents have revolutionized the treatment of severe psoriasis by targeting an important molecule involved in its pathogenesis. OBJECTIVES: We report the experience of a state referral center that uses anti-TNFα agents for psoriasis. METHODS: We conducted a retrospective case series. Seventy-four out of 120 patients met the inclusion criteria. Clinical and laboratory data was analyzed using the chi-squared, Wicoxon and McNemar's tests. Associations were considered statistically significant when p-value<0.05. RESULTS: Forty-one subjects (55.40%) were male, with a mean age of 47.69 ± 14.99 years. Median disease duration and pre-treatment PASI were 14.0 months (IQR 9.0-20.0), and 13.55 points (IQR 8.5-20.32). Sixty patients (81.10%) had arthropathic psoriasis. Forty-six subjects (62.20%) had comorbidities; the most frequent was dyslipidemia (25.70%). In 55.40% of patients, insufficient response to conventional therapies was the principal indication for using anti-TNFα drugs. Clinical improvement occurred in 93.20% of cases, and the post-treatment PASI median was 0.0 points (IQR 0.0-0.0). Adverse effects occurred in 6.80% of patients. Infections and elevation of transaminases occurred in 28.40% and 8.10% of cases, respectively. CONCLUSION: Post-treatment reduction in PASI was satisfactory and the occurrence of adverse effects was minor, mostly mild infusion effects and local reactions at drug administration sites.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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