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Record W2905079498 · doi:10.1002/hed.25540

Multicenter prospective study on the use and outcome of rehabilitation after total laryngectomy in Germany

2018· article· en· W2905079498 on OpenAlexaff
Susanne Singer, H Vogel, Orlando Guntinas‐Lichius, Bianca Erdmann‐Reusch, Michael Fuchs, Kathy Taylor, Alexandra Meyer, Judith Keszte

Bibliographic record

VenueHead & Neck · 2018
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsCommunity Based Research Centre
FundersDeutsche KrebshilfeBundesministerium für Bildung und Forschung
KeywordsRehabilitationLaryngectomyMedicineOddsOdds ratioPhysical therapySurgeryLogistic regression

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to assess the use and outcome of rehabilitation after total laryngectomy in Germany. METHODS: We enrolled patients who were scheduled for total laryngectomy, approached them again after surgery, after 3 months and 1 year. Patients completed questionnaires and were interviewed. RESULTS: Of 309 participants, 14% had not received any rehabilitation. Reasons for nonuse were primarily ongoing treatment and poor health. Users of rehabilitation had 4 times the odds of attaining any ability to speak compared to nonusers (odds ratio 3.8, P = .02). The main aim of rehabilitation from the perspective of the users was speech rehabilitation, mentioned by 71% before starting rehabilitation. This was also what most users (27%) found the most helpful part of rehabilitation. CONCLUSIONS: Patients are interested in attending rehabilitation. They especially want to improve their speech capacity, which indeed is better among users of rehabilitation than in those without.

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)0.000
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 score0.194

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.034
GPT teacher head0.326
Teacher spread0.292 · 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

Citations10
Published2018
Admission routes1
Has abstractyes

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