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Record W2094872341 · doi:10.1002/hed.23120

Quality of life instruments for skull base pathology: Systematic review and methodologic appraisal

2012· review· en· W2094872341 on OpenAlexafffund
John R. de Almeida, Ian Witterick, Patrick Gullane, Fred Gentili, Lynne Lohfeld, Jolie Ringash, Allan Vescan

Bibliographic record

VenueHead & Neck · 2012
Typereview
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsMount Sinai HospitalMcMaster UniversityUniversity of Toronto
FundersPhysicians' Services Incorporated Foundation
KeywordsPsychosocialMedicineSkullQuality of life (healthcare)MEDLINEMedical physicsPathologySurgeryPsychiatryNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Several quality of life (QOL) instruments exist for skull base pathology, however, there have been no attempts to appraise and systematically review these instruments. METHODS: We systematically reviewed MEDLINE, EMBASE, Central, AMED, Health and Psychosocial Instruments, and PsychoInfo for anterior or central skull base QOL instruments to January 2010. We queried experts, bibliographies, and meeting proceedings from the North American Skull Base Society from 2005 to 2009. Included instruments were evaluated for instrument characteristics, item generation and reduction, field testing, and measurement properties using predefined criteria. RESULTS: We identified 9 QOL instruments: 7 measuring QOL for pituitary pathology, 1 for midface pathology, and 1 for anterior skull base pathology. Eight of the 9 instruments have had some psychometric testing. None demonstrated all of the predefined psychometric properties. CONCLUSIONS: There are several QOL instruments for patients with skull base pathology. None of these instruments met all predefined requirements, and further instrument development is needed.

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)0.006
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0110.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.341
GPT teacher head0.510
Teacher spread0.169 · 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 designSystematic review
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

Citations20
Published2012
Admission routes2
Has abstractyes

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