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Record W3082638640 · doi:10.1055/s-0040-1715497

Long-Term Surveillance and Life-Time Care for Pediatric Patients Suffering from Hydrocephalus

2020· article· en· W3082638640 on OpenAlexaff
Matthias Krause, Andreas Merkenschlager, Cynthia Vanessa Mahr, Matthias K. Bernhard, Ekkehard M. Kasper, Margit Weißer, Robin Wachowiak

Bibliographic record

VenueJournal of Pediatric Neurology · 2020
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsMcMaster UniversityHamilton General Hospital
Fundersnot available
KeywordsMedicineHydrocephalusShunt (medical)RegimenPediatricsAdverse effectSurgeryIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Even though shunt surgery has been an established and widely accepted treatment for congenital hydrocephalus for five decades, long-term follow-up and functional outcome data are scarce. Based on our experience, we advocate a very rigid follow-up regimen throughout life for every hydrocephalus patient encountered with individual screening intervals not longer than 1 year in childhood and adolescence and surveillance intervals of 2 years in adulthood. A continuous treatment of the patients at the primary institution that performed hydrocephalus surgery provides an optimal setting to be prepared for the detection of adverse events of shunt malfunctioning. However, some patients may still encounter catastrophic events resulting in persistent deficits or death.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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