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Record W1898921761 · doi:10.3171/2012.8.peds11475

Intrathecal baclofen therapy—how we do it

2012· article· en· W1898921761 on OpenAlexaff
Amr Ammar, Ismail Ughratdar, Gnanamurthy Sivakumar, Michael Vloeberghs

Bibliographic record

VenueJournal of Neurosurgery Pediatrics · 2012
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineBaclofenSpasticityIntrathecalSurgeryEtiologyPopulationAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

Intrathecal baclofen has become an invaluable tool to treat spasticity of various etiologies. Children who benefit from intrathecal baclofen are often significantly underweight due to underlying disease pathology, and they lack adequate soft-tissue mass to effectively provide cover to the pump. Thus, in this population, subfascial implantation is favored over the subcutaneous technique in view of the high frequency of wound dehiscence and subsequent explantation of the pump associated with the latter method. The authors describe and review their unit's adapted subfascial implantation technique that has been performed over a period of 10 years in 182 children. This technique provides better tissue coverage for the pump and has resulted in lowering the risk of complications as compared with the subcutaneous technique.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.047
GPT teacher head0.277
Teacher spread0.230 · 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 designNot applicable
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

Citations16
Published2012
Admission routes1
Has abstractyes

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