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Record W4414287360 · doi:10.14740/wjon2642

A Comparison of Bidirectional Stratafix Continuous Suture Versus Conventional Interrupted Suture in Breast Mastectomy

2025· article· en· W4414287360 on OpenAlexvenueno aff
Masanori Oshi, Akimitsu Yamada, Kei Kawashima, Mahato Sasamoto, Itaru Endo

Bibliographic record

VenueWorld Journal of Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicSurgical Sutures and Adhesives
Canadian institutionsnot available
Fundersnot available
KeywordsBarbed sutureFibrous jointWound closureMastectomyBreast surgeryIncidence (geometry)

Abstract

fetched live from OpenAlex

Background: This study aimed to compare surgical outcomes between Stratafix barbed sutures and conventional sutures in patients undergoing total mastectomy for breast cancer. Methods: This retrospective study analyzed patients who underwent total mastectomy and/or axillary lymph node dissection at our hospital. Results: A total of 29 patients were included. No significant differences were observed in clinicopathological features between the two groups. However, the percentage of suturing time within the total operative time was significantly lower in the Stratafix group compared to conventional group (10% vs. 8%). In addition, the suturing time per centimeter was also significantly shorter with Stratafix group (P < 0.001). No wound-related complications were observed in either group during at least 3 months of follow-up. Conclusions: The use of barbed sutures for wound closure in mastectomy procedures effectively reduces suturing time without increasing the incidence of wound complications. Bidirectional Stratafix barbed sutures offer an improved and efficient alternative to conventional sutures for breast surgeons.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.031
GPT teacher head0.386
Teacher spread0.355 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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