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Record W4401092624 · doi:10.14300/mnnc.2024.19027

Effectiveness of various options of axillary myoplasty in patients with breast cancer

2024· article· en· W4401092624 on OpenAlexaff
Aminat Sultan-Khamidovna Nartokova, Arsen Koychuev, Nina Valerievna Sorokina, Peter Chumakov

Bibliographic record

VenueMedical news of the North Caucasus · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsBreast cancerMedicineInternal medicineCancer

Abstract

fetched live from OpenAlex

The randomized prospective study included 48 patients with breast cancer (BC) with metastases to regional lymph nodes. All patients underwent radical mastectomy with axillary lymph node dissection (ALDE). The patients were divided into four groups. Group A (n=11) included patients who underwent covering of the axilla with the pectoralis minor muscle. Group B (n=13) included patients who underwent covering of the axilla with the serratus anterior muscle. Group C (n=10) included patients who underwent covering of the axilla with the latissimus dorsi muscle. Group D (n=14) included patients who did not undergo axillary closure after ALDE (control group). The advantage of surgical intervention in covering the axilla with the serratus anterior muscle after ALDE has been demonstrated compared to other types of myoplasty. Thus, performing myoplasty of the axillary region after ALDE for BC is an effective method in the fight against long-term lymphorrhea.

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)0.001
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.003
GPT teacher head0.226
Teacher spread0.223 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueMedical news of the North CaucasusSame topicBreast Cancer Treatment StudiesFrench-language works237,207