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Surgery for pharmacoresistant epilepsy in the developing world: A pilot study

2009· article· en· W2082357291 on OpenAlexaff
Warren Boling, Adriana Palade, Angela Wabulya, Nicoletta Longoni, Benjamin C. Warf, Scott Nestor, Rubina Alpitsis, Richard G. Bittar, Charles E. Howard, Frédérick Andermann

Bibliographic record

VenueEpilepsia · 2009
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsEpilepsyEpilepsy surgeryMedicineTemporal lobeNeuropsychologyDeveloping countryPediatricsPsychiatryCognition

Abstract

fetched live from OpenAlex

Epilepsy prevalence in the developing world is many fold that found in developed countries. For individuals whose conditions failed to respond to pharmacotherapy, surgery is the only opportunity for cure. In Uganda, we developed a center for treatment of intractable temporal lobe epilepsy (iTLE) that functions within the technologic and expertise constraints of a severely low resource area. Our model relies on partnership with epilepsy professionals and training of local staff. Patients were prescreened at regional clinics for iTLE. Individuals meeting inclusion criteria were referred to the treating Ugandan hospital (CURE Children's' Hospital of Uganda, CCHU) for video-EEG (electroencephalography), computed tomography (CT) imaging, and neuropsychological evaluation. Data were transferred to epilepsy experts for analysis and treatment recommendations. Ten patients were diagnosed with iTLE and surgically treated at CCHU. Six (60%) were seizure free, and there was no neurologic morbidity or mortality. Our model for surgical treatment of pharmacoresistant TLE has functioned successfully in a true developing world low resource setting.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.059
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.095
GPT teacher head0.380
Teacher spread0.285 · 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 teacher head, 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

Citations40
Published2009
Admission routes1
Has abstractyes

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