Inhibition of complement in Guillain‐Barré syndrome: the <scp>ICA‐GBS</scp> study
Bibliographic record
Abstract
The outcome of Guillain-Barré syndrome (GBS) remains unchanged since plasma exchange and intravenous immunoglobulin (IVIg) were introduced over 20 years ago. Pathogenesis studies on GBS have identified the terminal component of complement cascade as a key disease mediator and therapeutic target. We report the first use of terminal complement pathway inhibition with eculizumab in humans with GBS. In a randomised, double-blind, placebo-controlled trial, 28 subjects eligible on the basis of GBS disability grade of at least 3 were screened, of whom 8 (29%) were randomised. Five received eculizumab for 4 weeks, alongside standard IVIg treatment. The safety outcomes, monitored via adverse events capture, showed eculizumab to be well-tolerated and safe when administered in conjunction with IVIg. Primary and secondary efficacy outcomes in the form of GBS disability scores (GBS DS), MRC sum scores, Rasch overall disability scores, and overall neuropathy limitation scores are reported descriptively. For the primary efficacy outcome at 4 weeks after recruitment, two of two placebo- and two of five eculizumab-treated subjects had improved by one or more grades on the GBS DS. Although the small sample size precludes a statistically meaningful analysis, these pilot data indicate further studies on complement inhibition in GBS are warranted.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".