Adherence to guidelines in the use of biological agents to treat psoriasis in Brazil
Bibliographic record
Abstract
OBJECTIVE: In São Paolo, Brazil, patients can appeal to the courts, registering law suits against the government claiming the need for biological agents for treatment of psoriasis. If the lawsuits are successful, which is usually the case, the government then pays for the biologic agent. The extent to which the management of such patients, after gaining access to government payment for their biologic agents, adheres to authoritative guidelines, is uncertain. METHODS: We identified patients through records of the State Health Secretariat of São Paulo from 2004 to 2011. We consulted guidelines from five countries and chose as standards only those recommendations that the guidelines uniformly endorsed. Pharmacy records provided data regarding biological use. Guidelines not only recommended biological agents only in patients with severe psoriasis who had failed to respond to topical and systemic therapies (eg, ciclosporin and methotrexate) but also yearly monitoring of blood counts and liver function. RESULTS: Of 218 patients identified in the database, 3 did not meet eligibility criteria and 12 declined participation. Of the 203 patients interviewed, 91 were still using biological medicine; we established adherence to laboratory monitoring in these patients. In the total sample, management failed to meet standards of prior use of topical and systemic medication in 169 (83.2%) patients. Of the 91 patients using biological medicine at the time of the survey, 23 (25.2%) did not undergo appropriate laboratory tests. CONCLUSIONS: Important discrepancies exist between clinical practice and the recommendations of guidelines in the management of plaintiffs using biological drugs to treat psoriasis.
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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 | 0.010 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".