Guillain-Barré Syndrome in Chile: Incidence and Mortality (2013–2019)
Bibliographic record
Abstract
Introduction: Guillain-Barré syndrome (GBS) is a rare autoimmune disorder of the peripheral nervous system with incidence rates varying across regions. Based on hospital discharge data, this study aimed to analyze the incidence and mortality of GBS in Chile between 2013 and 2019. METHODS: A retrospective review of GBS cases, identified using the ICD-10 code G61.0, was conducted using national hospital discharge records. The incidence rates were calculated annually and adjusted for the population. Demographic and clinical variables, including sex, age, insurance type, and outcomes, were analyzed. RESULTS: A total of 1,696 cases were identified, yielding an annual incidence rate of 1.46 per 100,000 (95% CI: 1.28-2.64). Most cases occurred in males (58.8%), with a mean age of 46.62 years. The mortality rate was 1.7%, and the high survival rate was 98.3%. CONCLUSION: The incidence of GBS in Chile is comparable to the global rates, with a slight male predominance and a high survival rate. Further studies are warranted to explore the potential rurality and climatic factors influencing GBS incidence in Chile. .
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".