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Record W6982558744

iNPH QUEST Study: quantifying a battery of gait, cognitive and radiological examinations to improve identification of shunt candidates from the cerebrospinal fluid tap test

2019· dissertation· en· W6982558744 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2019
Typedissertation
Languageen
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCerebrospinal fluidShunt (medical)CognitionRadiological weaponHydrocephalusCognitive testNormal pressure hydrocephalus
DOInot available

Abstract

fetched live from OpenAlex

Idiopathic normal Pressure hydrocephalus (iNPH), a condition resulting in abnormalities of gait, cognition and continence, is treated by the placement of a ventricular peritoneal (VP) shunt to drain cerebrospinal fluid (CSF). To identify surgical candidates the CSF tap test (TT) was devised to mimic VP shunt insertion. The CSF TT involves drainage of a small volume of CSF to assess for symptom improvement. Additionally, measurements of CSF flow on MRI imaging have been devised to identify VP shunt candidates. Limited research has investigated assessing what outcome measures can identify change from a CSF TT. Neither the tests capable of definitively identifying change from a CSF TT nor the degree of change required on any test constituting a clinically important difference have been extensively investigated. Additionally, whether any measure on MRI CSF flow studies can identify change using outcome measures has not been explored. This thesis aims to: 1. Identify a battery of standardised gait and balance outcome measures which can identify change from a CSF TT. 2. Identify a battery of standardised upper limb and cognitive outcome measures which can identify change from a CSF TT. 3. Develop minimally clinically important differences (MCIDs) for a battery of outcome measures. 4. Identify radiological markers on MRI CSF flow studies that are prognostic of response to CSF drainage. The ability of the Timed up and go (TUG), Timed up and go cognition (TUG-C), performance oriented mobility assessment (Tinetti), Berg balance scale (BBS), 10 metre walk test (10MWT), Montreal cognitive assessment (MoCA) and 9 hole peg test (9HPT) to identify change from a CSF TT was assessed. These studies demonstrated that the TUG, TUG-C, Tinetti and BBS could identify change from a CSF TT. Calculated MCIDs were 3.63sec for the TUG, 2.60sec for the TUG-C, 4 points for the Tinetti and 4 points for the BBS represent MCIDs for improvement from a CSF TT. Additionally, we have shown that the measurements of the sagittal sinus circumference and area can differentiate improvement in gait as a result of CSF drainage. Further research is required to evaluate the utility of these MCID values in identifying improvement following VP shunt insertion.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0080.000

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 head0.076
GPT teacher head0.313
Teacher spread0.237 · 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
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
Published2019
Admission routes1
Has abstractyes

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