Juvenile psoriatic arthritis patients at Tripoli Children's Hospital
Bibliographic record
Abstract
Juvenile psoriatic arthritis (JPsA) is a relatively rare condition in childhood, as it represents about 5.0% of the whole Juvenile Idiopathic Arthritis (JIA). There are fewer reports describing the characteristics and outcome of patients with JPsA. The purpose of this study is to determine characteristic features, treatment, and patients' outcomes of JPsA among Libyan children and to compare the findings with other populations worldwide. Medical records of all the patients who met the Vancouver criteria (definite or probable) or ILAR criteria for JPsA, and who were followed up at the Pediatric Rheumatology Clinic in Tripoli Children's Hospital between 2001 and 2020, were retrospectively reviewed, and data were analyzed. The study included a total of 12 cases of JPsA over the study period; all were met Vancouver criteria for juvenile PsA: 42.0% not fulfill ILAR criteria. JPsA represents 4.8% of total JIA cases with a male-to-female ratio of 1: 1, and a mean age of 10.2±6.5 years. The mean age of disease onset was 5.8±5.3 years. Polyarticular pattern was the predominant (58.3%), ANA and HLAB27 were positive among 33.3% and 12.5% of the studied cases, psoriasis in 33.3% of cases, Uveitis in 30.0%, uveitis complications were occurred in one patient. Biologic drugs were used in 25.0% of the patients. The study concludes that the characteristics of JPsA in Libyan children are different from those of other countries regarding a higher frequency of uveitis, equal sex-related distribution, and absence of nail changes. This difference may be attributed to different classification criteria used.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".