MétaCan
Menu
Back to cohort
Record W2999488735 · doi:10.1177/0194599819900263

Inferior Meatus Augmentation Procedure (IMAP) to Treat Empty Nose Syndrome: A Pilot Study

2020· article· en· W2999488735 on OpenAlexaff
Andrew Thamboo, Sachi S. Dholakia, Nicole A. Borchard, Vishal S. Patel, Navarat Tangbumrungtham, Nathalia Velasquez, Zhenxiao Huang, David Zarabanda, Tsuguhisa Nakayama, Jayakar V. Nayak

Bibliographic record

VenueOtolaryngology · 2020
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineMeatusNoseQuality of life (healthcare)AnxietyStatistical significancePhysical therapySurgeryInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Our understanding of empty nose syndrome (ENS) continues to evolve. Prior studies evaluating airway augmentation to treat ENS did not use validated disease‐specific questionnaires, making the true impact of these surgeries unclear. We present a case series of 10 patients with ENS (11 procedures) who underwent the inferior meatus augmentation procedure (IMAP) between September 2014 and May 2017. Subjective outcomes of IMAP included comparisons of preoperative and postoperative assessments (1 week, 1 month, 3 months, 6 months) using the Empty Nose Syndrome 6‐item Questionnaire (ENS6Q), Patient Health Questionnaire–9 (PHQ‐9), Generalized Anxiety Disorder 7‐item Scale (GAD‐7), and Sino‐Nasal Outcome Test–22 (SNOT‐22). The decrement in ENS6Q scores observed maintained statistical significance at 6 months ( P ≤. 001). Similar results were achieved with PHQ‐9, GAD‐7, and SNOT‐22 ( P ≤. 01, P ≤. 01, P ≤. 001, respectively). IMAP can dramatically improve the quality of life of ENS patients regarding both ENS‐specific symptoms and psychological well‐being.

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 score0.023
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.044
GPT teacher head0.299
Teacher spread0.254 · 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

Citations23
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueOtolaryngologySame topicNasal Surgery and Airway StudiesFrench-language works237,207