Thrombotic microangiopathy in the course of catastrophic antiphospholipid syndrome successfully treated with eculizumab: case report and systematic review of the literature
Bibliographic record
Abstract
Objective The purpose of this study was to characterize the role of eculizumab, a monoclonal antibody against the terminal complement component C5, in patients with catastrophic antiphospholipid syndrome (CAPS). Methods We present a case report of a patient with systemic lupus erythematosus (SLE) and CAPS treated with eculizumab, as well as results of a systematic review of the literature. Results Including our patient, we identified 11 case reports of patients with CAPS treated with eculizumab. All of them had partial or total remission of symptoms. Conclusion Data on eculizumab efficacy in CAPS are promising but are limited to single case reports. More studies are needed to develop evidence-based recommendations for eculizumab use in CAPS.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Case report plus systematic review of a drug's efficacy in a rare syndrome; clinical question.
This systematic review evaluates a treatment for a clinical syndrome rather than evidence synthesis methodology.
Clinical review of eculizumab in catastrophic antiphospholipid syndrome, not metaresearch.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".