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Record W2020440862 · doi:10.2310/7070.2002.21296

Use of Hylan B Gel as a Wound Dressing after Endoscopic Sinus Surgery

2002· article· en· W2020440862 on OpenAlexaffvenue
Saul Frenkiel, Martin Y. Desrosiers, Dan Nachtigal

Bibliographic record

VenueThe Journal of Otolaryngology · 2002
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineHemostasisSurgeryEndoscopic sinus surgeryFulminantChronic sinusitisWound healingSinus (botany)Sinusitis

Abstract

fetched live from OpenAlex

Although serious sequelae of endoscopic sinus surgery are infrequent, more commonplace surgical management often involves the control of mucosal bleeding. This study was conducted to assess the efficacy of an elastoviscous hylan gel as a postsurgical wound dressing for promotion of hemostasis. Twenty patients with a diagnosis of chronic sinusitis were evaluated. In randomized fashion, the gel dressing was placed into one operated cavity while the contralateral side served as the control. The results indicated that hylan gel was effective in stilling postsurgical bleeding, particularly in the fulminant polyposis cases who had a larger and more exposed cavity. These early results indicate a potential benefit of a gel dressing for hemostasis when used at the conclusion of the operative procedure. In addition, other parameters were evaluated in this study, including prevention of postoperative adhesions and the effect on mucosal healing. These parameters showed a positive result compared with the control group.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.061
GPT teacher head0.291
Teacher spread0.230 · 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

Citations33
Published2002
Admission routes2
Has abstractyes

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