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Record W4322008557 · doi:10.47191/ijmscrs/v3-i2-23

How to Preserve Complete Breastfeeding Function in Breast Reduction and Lifting Mammaplasties

2023· article· en· W4322008557 on OpenAlexaff
Richard Moufarrège, Cyril Awaida, Hani Sinno, Mathieu Stevens, Georgio Gholam, Marion Aribert, Romain Laurent, Ramy Schoucair

Bibliographic record

VenueInternational Journal of Medical Science and Clinical Research Studies · 2023
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBreastfeedingBreast reductionMedicineBreast feedingReduction (mathematics)Breast tissueObstetricsBreast milkBreast cancerMammaplastySurgeryPediatricsInternal medicineMathematics

Abstract

fetched live from OpenAlex

Breastfeeding has been shown to provide considerable benefits to newborn and maternal health. The World Health Organization recommends exclusive breastfeeding of babies up to six months of age. It is well known that breast reduction techniques that preserve the column of subareolar breast tissue have a greater likelihood of successful postoperative breastfeeding. The best representative of these techniques is the Total Posterior Pedicle breast reduction which was described by Richard Moufarrege since 1982. It consists of dissecting the skin away from the breast tissue offering free access to all breast quadrants. This technique is known for its robust blood supply to the nipple areolar complex, the preservation of the nipple areolar complex sensation, and for its low rate of long-term complications such as pseudoptosis. In this article, we demonstrate that the Moufarrege Total Posterior Pedicle preserves breastfeeding function in women undergoing breast reduction using this technique.

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)0.021
metaresearch head score (Gemma)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.316
GPT teacher head0.546
Teacher spread0.230 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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