MétaCan
Menu
Back to cohort

A Comparison of Two Methods of Infiltration in Breast Reduction Surgery

2001· article· en· W2083430718 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.

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2001
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsWomen's College HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineComplicationSurgeryLimitingBreast reductionInfiltration (HVAC)EpinephrineBlood lossBreast surgeryRetrospective cohort studyAnesthesiaPlastic surgeryBreast cancerInternal medicine

Abstract

fetched live from OpenAlex

The superwet technique has been shown in previous studies to dramatically reduce blood loss in breast reduction surgery, compared with standard infiltration. A retrospective chart review of 303 consecutive patients undergoing bilateral breast reduction surgery was undertaken to demonstrate additional differences in complication rate, operative time, or sponge use in the operating room. In this series, 132 consecutive patients received standard infiltration along incision lines (25 cc per breast of 1:100,000 epinephrine), and 171 patients received superwet infiltration with 240 cc per breast of 1:1,000,000 epinephrine. The average operative time was significantly reduced in the superwet group, from 78.5 minutes to 70.7 minutes (p < 0.01 level). The average number of sponges used intraoperatively was also decreased significantly (p < 0.01), from 26 to 20 sponges. Complication rates were equally low in both groups, demonstrating the safety of the superwet technique. In addition to limiting blood loss, the superwet infiltration effectively reduces operative time and sponge use without increasing complications in breast reduction surgery.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.119
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.054
GPT teacher head0.358
Teacher spread0.304 · 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