Longterm Outcome of Patients with Primary Antiphospholipid Syndrome: A Retrospective Multicenter Study
Bibliographic record
Abstract
OBJECTIVE: To assess the longterm frequency of thrombotic recurrences, obstetrical complications, organ damage, severe comorbidities, and evolution toward connective tissue disease (CTD) in primary antiphospholipid syndrome (PAPS). METHODS: Medical records of patients with PAPS followed in 6 centers for ≥ 15 years were retrospectively reviewed. RESULTS: One hundred fifteen patients were studied: 88% women, followed between 1983 and 2014 with a mean (± SD) age at diagnosis of 33 (± 10) years. During a median followup of 18 years (range 15-30), 50 patients (44%) had at least a thrombotic event for a total of 75 events and an annual incidence of 3.5%. Thromboses were more frequent in patients with previous thrombotic history (p = 0.002). A catastrophic antiphospholipid syndrome occurred in 6 patients (5%). The use of oral anticoagulants in patients with thrombotic onset did not appear to be protective against recurrences (p = 0.26). Fifty-two women had 87 pregnancies, successful in 78%. Twenty-nine percent of patients accrued functional damage. Damage was significantly associated with a thrombotic history (p = 0.004) and with arterial events (p < 0.001), especially stroke, but not with demographics, serology, or treatment. Twenty-four major bleeding episodes were recorded in 18 patients, all receiving anticoagulants. Severe infections affected 6 patients (5%), with 1 fatality. A solid cancer was diagnosed in 8 patients (7%). Altogether, 16 patients (14%) developed an autoimmune disease and 13 (11%) a full-blown picture of CTD. CONCLUSION: Despite therapy, a high proportion of patients experienced new thrombotic events and organ damage, while evolution toward CTD was infrequent.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".