Guillain–Barre syndrome in North Indian children: Clinical and serial electrophysiological features
Bibliographic record
Abstract
BACKGROUND: Guillain-Barre syndrome (GBS) is a common acquired polyneuropathy in children. AIM: To describe the clinical and serial electrophysiological features along with short-term outcomes of children with GBS in north India. SETTING AND DESIGN: This was a prospective study conducted at a tertiary care pediatric hospital in north India. MATERIALS AND METHODS: Consecutive children, aged 2 to 18 years, with GBS, presenting within 4-weeks of onset of weakness, diagnosed on clinical and/or electrophysiological grounds, were enrolled. The enrolled children underwent a detailed clinical-assessment followed by nerve conduction studies. Repeat nerve conduction studies were performed after 2-weeks of the first study to determine changes in the electrophysiological subtype. The patients were followed up for 3 months. RESULTS: Thirty-six children were studied. The mean age at presentation was 5.1 years [standard deviation (SD): 2.1]. The mean medical research council (MRC)-sum-score at admission was 24.1 (SD: 10.4). Thirty-three children (91%) had loss of ambulation, 24 (66%) had cranial nerve involvement, and 6 (16.6%) required ventilation. At presentation, 20 had acute motor axonal neuropathy (AMAN), 13 had acute inflammatory demyelinating polyneuropathy (AIDP), 2 had in-excitable nerves, and 1 had normal findings. Four children, initially diagnosed as AIDP, had AMAN with reversible conduction failure on the repeat study. The final classification was AMAN in 25 (69.4%; 95% confidence interval (CI), 51.9-83.7%) and AIDP in 9 children (25%; 95% CI, 12.1-42.2%). Only one patient was nonambulatory at a 3-month follow-up (n = 32). The Erasmus GBS outcome score was 2 in 2 (5.6%), 3 in 5 (13.9%), 4 in 26 (72.2%), and 5 in 3 (8.3%) patients. CONCLUSIONS: The serial electrophysiological studies were helpful in establishing the final correct diagnosis.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".