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Record W2783440827 · doi:10.1186/s40463-017-0248-5

Management of Persistent Epistaxis Using Floseal Hemostatic Matrix vs. Traditional nasal packing: A prospective randomized control trial

2018· article· en· W2783440827 on OpenAlexaffabout
Scott Murray, Adrian Mendez, Alexander C. Hopkins, Hamdy El‐Hakim, Caroline C. Jeffery, David W. J. Côté

Bibliographic record

VenueJournal of Otolaryngology - Head and Neck Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicVascular Anomalies and Treatments
Canadian institutionsUniversity of Alberta
FundersBaxter International
KeywordsMedicineNasal packingRandomized controlled trialSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Epistaxis is the most common emergent consultation to otolaryngology-head & neck surgery (OHNS) and with 60% of the population having experienced an episode and 1.6 in 10,000 requiring hospitalization in their lifetime. In preliminary studies Floseal® (Baxter, USA) Hemostatic Matrix has shown efficacy in up to 80% of persistent anterior epistaxis. We sought to evaluate the clinical efficacy and cost-effectiveness of Floseal® (Baxter, USA) compared to traditional nasal packing for persistent epistaxis. METHODS: A prospective, randomized controlled trial was conducted on all adult patients consulted to the OHNS service at the tertiary referral centers of the University of Alberta Hospital and Royal Alexandra Hospital for persistent epistaxis. Patients were randomized to the Floseal® (Baxter, USA) or traditional packing study arms. Our main clinical outcome measures were: 1) Hemostasis directly following treatment and at 48 h post-treatment, and 2) self-reported patient comfort at 48 h post-treatment. Further, trial data was used for a formal cost-effectiveness analysis to determine incremental cost-effectiveness ratio (ICER). Univariate sensitivity analysis and uncertainty analysis were performed. RESULTS: There were no significant differences between groups for initial hemostasis (76.9% vs. 84.6%, p = 1.000) or, hemostasis at 48 h (76.9% vs. 69.2%, p = 1.000), requirement for admission (15.4% vs. 46.1%, p = 0.2016) or 30-day re-presentation rates (15.4% vs. 46.1%, p = 0.2016). Floseal® (Baxter, USA) was superior for decreased pain during placement (2.42 vs. 7.77, p = 0.0022), treatment (0.50 vs. 4.46, p = 0.0007) and removal (0 vs. 3.85, p = 0.0021). Floseal® (Baxter, USA) provides an average $1567.61 per patient savings from the single-payer system point of view and has an ICER of - $11,891 per re-bleed prevented (95% CI: -$37,658 to +$473). Uncertainty analysis shows that Floseal® has >90% chance of not only being cost-effective, but the dominant (preferred) treatment. CONCLUSIONS: Floseal® (Baxter, USA) was demonstrated to be an effective, comfortable and cost-effective alternative treatment of persistent epistaxis when compared to traditional packing methods for patients referred to OHNS with a normal coagulation profile. TRIAL REGISTRATION: Trial registration number: NCT02488135 . Date registered: June 26, 2015.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.032
GPT teacher head0.293
Teacher spread0.261 · 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 designRandomized trial
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
Published2018
Admission routes2
Has abstractyes

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