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Record W4294325390 · doi:10.1016/j.seizure.2022.08.010

Long-term outcomes of pediatric epilepsy surgery: Individual participant data and study level meta-analyses

2022· review· en· W4294325390 on OpenAlexaff
William B. Harris, Tristan Brunette‐Clément, Andrew Wang, H. Westley Phillips, Christian von der Brelie, Alexander G. Weil, Aria Fallah

Bibliographic record

VenueSeizure · 2022
Typereview
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsEpilepsy surgeryEpilepsyMedicineMeta-analysisCINAHLMEDLINEPerioperativePediatricsCochrane LibraryPediatric surgeryEtiologySurgeryPsychiatryInternal medicinePsychological intervention

Abstract

fetched live from OpenAlex

OBJECTIVE: Long-term seizure outcomes of pediatric epilepsy surgery are understudied. A systematic review and independent patient data meta-analysis was performed to study seizure outcomes ≥ 10 years following pediatric resective epilepsy surgery. METHODS: Electronic literature searches of PubMed, Web of Science, and CINAHL were conducted for relevant articles from inception to April 2020. The following search terms were used in various combinations: "pediatric", "child", "adolescent", "epilepsy", "resective", "surgery", "long-term", "longitudinal", "10 year". Two reviewers (W.B.H., T.B.C.) performed title, abstract, and full-text screening. All relevant perioperative factors reported that may be associated with long-term seizure outcomes were recorded at a study or individual participant level. The primary outcome was long-term (≥ 10 year) seizure freedom measured by the Engel Classification scale, and available data on functional outcomes were also reviewed. RESULTS: Twenty-five articles met criteria for inclusion in the study, which were analyzed for proportions of 10-year seizure freedom ranging from 57.6% at the study level to 64.8% at the individual patient level. At the study level, the proportion of patients remaining seizure free at least 10 years postoperatively (61.2%; 95% CI 52.5-69.3) was significantly less than at 1 year (74.2%; 95% CI 69.3-78.6; p = 0.008) but not at 2 years (67.9%; 95% CI 58.6-76.0) or 5 years (63.7%; 95% CI 55.4-71.2). No differences in long-term seizure freedom were detected by etiology or surgery type. At the individual patient level, univariate logistic regression analyses of all variables putatively associated with seizure freedom demonstrated that lobectomy (OR 0.280, 95% CI 0.117-0.651, p = 0.003) was associated with decreased long-term seizure freedom (41.9%) compared to lesionectomy (75.7%) and hemispherectomy (69.4%), which achieved similar results. CONCLUSION: Resective surgery is a durable and potentially curative treatment option for select pediatric patients with refractory epilepsy. On a group level, two-thirds of children have long-term seizure freedom ≥ 10 years after resective epilepsy surgery. Given the greatest rate of change occurs in the first 2 years, this may serve as the best short-term follow-up period to predict long-term outcome. Although lobectomy appears to be a strong predictor for lower likelihood of long-term seizure freedom, long-term prognostication on an individual patient level is still not possible. Uniform data reporting and prospective, multicenter studies collecting high quality, stratified (e.g., by etiology, surgery type) data over an extended postoperative interval are recommended to further examine the durability of resective surgery as a treatment for pediatric epilepsy.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.828
GPT teacher head0.548
Teacher spread0.281 · 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.

Study designObservational
Domainnot available
GenreReview

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

Citations28
Published2022
Admission routes1
Has abstractyes

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