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Record W1972773359 · doi:10.2310/7070.2002.29810

Control of Bleeding in Endoscopic Sinus Surgery: Use of a Novel Gelatin-Based Hemostatic Agent

2002· article· en· W1972773359 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Otolaryngology · 2002
Typearticle
Languageen
FieldMedicine
TopicHemostasis and retained surgical items
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineHemostatic AgentSurgeryHemostaticsEndoscopic sinus surgeryElectrocoagulationHemostasis

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether FloSeal Matrix Hemostatic Sealant is a safe and effective means of controlling bleeding post-endoscopic sinus surgery (ESS) and to assess postoperative healing. DESIGN: Prospective clinical study. SETTING: University of Toronto. METHODS: Eighteen patients with FloSeal placed on a total of 30 operative sites post-ESS. Time to cessation of bleeding was assessed intraoperatively. Patients had the operative sites assessed at 30 days postoperatively. MAIN OUTCOME MEASURES: Effectiveness of FloSeal in controlling bleeding and aiding in healing of the operative site. RESULTS: FloSeal adequately controls postoperative bleeding in patients post-ESS. Healing was also not adversely affected. CONCLUSIONS: FloSeal is a safe and effective treatment for controlling blood loss after EES. It may also provide support to the middle meatus as well as improve healing of the operative site compared with the use of traditional nasal packing. However, randomized clinical trials are needed to further evaluate this.

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.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.238
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.075
GPT teacher head0.280
Teacher spread0.204 · 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