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Record W2547720966 · doi:10.1093/neuonc/nov213.21

EPID-21ONE-YEAR INSTITUTIONAL REPORT OF THE FIRST CANADIAN ADULT NF1 MULTIDISCIPLINARY CLINIC, REPORTED IN THE CONTEXT OF SYSTEMATICALLY-IDENTIFIED EXPERIENCES OF PREVIOUSLY ESTABLISHED CENTERS

2015· article· en· W2547720966 on OpenAlexaffabout
Alireza Mansouri, Saber Ghadakzadeh, Talha Maqbool, Carolina Barnett, Paul Kongkham, Vera Bril, Gelareh Zadeh

Bibliographic record

VenueNeuro-Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMultidisciplinary approachMedicineFamily medicineContext (archaeology)Biopsychosocial modelMEDLINEPopulationHealth careGerontologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Neurofibromatosis type 1 (NF1) is among the most common single-gene disorders. These patients are afflicted by a myriad of biopsychosocial challenges. A multidisciplinary approach to the diagnosis and management of patients with NF1 is necessary. A dearth of multidisciplinary clinics for adults is a palpable limitation. OBJECTIVES: To report our one-year institutional experience with the first Canadian multidisciplinary adult NF1 clinic at the University Health Network (UHN), in the context of other systematically-identified published experiences by established clinics worldwide. METHODS: The UHN NF1 clinic consists of 2 neurosurgeons and 2 neurologists with a permanent presence in the clinic. Clinics were initially once-monthly but have recently been increased to once-weekly. A modified version of the NF Patient Registry Initiative questionnaire was adapted for use as the patient intake questionnaire for new UHN NF1 patients. The MEDLINE, EMBASE, and CENTRAL electronic databases were systematically searched to identify publications pertaining to the experience of multidisciplinary adult NF1 clinics. Data on structure of clinics, patient epidemiology, along with management and follow-up strategies were recorded. RESULTS: Six articles were identified (range of 19-177 unique patients seen); two pertained to only adults and 5 pertained to a mixed population. The majority of clinics involved neurologists and medical geneticists as permanent members. The UHN NF1 clinic was the first in Canada and the first to involve neurosurgeons as permanent members. Sixty-six (of 86) unique patients completed the intake questionnaire. The demographic and clinical data from this Canadian population is mostly consistent with previous reports with some exceptions. Only 9% of patients were referred from a pediatric NF1 center. CONCLUSIONS: Our data offers valuable information to healthcare professionals and adult patients affected by NF1. Awareness of current limitations and areas of improvement would be of utility for establishing additional highly-necessary adult centers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.393
Threshold uncertainty score0.791

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.049
GPT teacher head0.320
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2015
Admission routes2
Has abstractyes

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