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Record W4413337221 · doi:10.6000/1929-6029.2025.14.44

Guillain-Barré Syndrome in Egypt: Diagnostic Challenges and Subtype Evolution Over Time

2025· article· en· W4413337221 on OpenAlexvenueno aff
Dena Elghzzawy, Ayatallah Farouk, Ahmed M. Abdel‐Khalek, Ibrahim Elmenshawi

Bibliographic record

VenueInternational Journal of Statistics in Medical Research · 2025
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsnot available
FundersMansoura University
KeywordsGuillain-Barre syndromeMedicinePediatrics

Abstract

fetched live from OpenAlex

Background: Guillain-Barré Syndrome (GBS) is the leading cause of acute flaccid paralysis worldwide, with diverse clinical and electrophysiological presentations. Regional variation in GBS subtypes exists, but limited data are available from Arab countries, particularly Egypt. Objective: This study aimed to characterize clinical features, neurophysiological patterns, and disability outcomes among Egyptian GBS patients and evaluate changes in electrophysiological subtypes over time. Methods: A prospective observational study was conducted on 49 adult patients diagnosed with GBS and admitted to Mansoura University Hospitals between May 2022 and May 2025. Clinical data, disability scores (Hughes, INCAT, mEGOS, MRC), and electrophysiological findings were collected within the first two weeks of symptom onset and repeated before discharge. Electrophysiological subtyping was performed using Rajabally’s criteria at initial and repeat testing. Results: The cohort had a median age of 50 years; 59.2% were male. Upper respiratory tract infections were the most common preceding illness (55.1%). Sensorimotor deficits were the predominant presentation (89.8%), with cranial nerve involvement observed in 28.6% and autonomic dysfunction in 20.4%. Most patients received plasma exchange, and 22.4% required additional immunotherapy. Initial electrophysiological studies were inconclusive in 37.4%, but follow-up improved diagnostic yield to 93.7%. Electrophysiological reclassification occurred in 54.1%, with cases shifting between axonal and demyelinating patterns. At follow-up, AIDP was slightly more prevalent (52%) than axonal forms (41.6%). Functional scores (Hughes, INCAT, MRC) improved significantly within one month, with >65% achieving favorable outcomes. Conclusion: Serial neurophysiological assessment enhances diagnostic accuracy in early GBS subtypes classification, with substantial shifts occurring between initial and follow-up studies. A high proportion of Egyptian GBS patients presented with severe disability but showed marked improvement by the fourth week.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.030
GPT teacher head0.397
Teacher spread0.368 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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