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Record W1982150082 · doi:10.1097/sap.0000000000000190

How Does Volume of Resection Relate to Symptom Relief for Reduction Mammaplasty Patients?

2014· article· en· W1982150082 on OpenAlex
Ben Strong, Elizabeth J. Hall‐Findlay

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

VenueAnnals of Plastic Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsBanff Centre
Fundersnot available
KeywordsMedicineMammaplastyBreast reductionSurgeryBreast cancerBreast surgeryResectionStatistical significancePercentilePlastic surgeryReduction (mathematics)CancerInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Reduction mammaplasty surgery is well known to produce improvement in a wide range of symptoms associated with macromastia. Health care insurers frequently stipulate a minimum resection volume to qualify for coverage, limiting access to surgery for many. The authors aimed to identify whether small volume resections do produce symptomatic improvement, comparing preoperative and postoperative experience of symptoms across a range of tissue resection volumes. METHODS: Reduction mammaplasty patients were given a custom-designed questionnaire at routine postoperative follow-up appointments, asking them to rate their preoperative and postoperative experience of 9 symptoms related to macromastia. Results were compiled and analyzed alongside data from patient case notes. Of 661 patients identified as being eligible for inclusion in the study, 410 had sufficiently complete data to proceed to statistical analysis. Patients were divided into 6 groups based on volume of breast tissue resected. A Schnur sliding scale percentile was also calculated for all patients. Statistical analysis of preoperative symptom prevalence and postoperative symptom change was carried out. Further analysis to examine for evidence of trend in symptom improvement across groups was implemented using the Jonckheere-Terpstra test for ordered alternatives. RESULTS: Patients who go on to have larger volumes of breast tissue resected were found to experience back pain, shoulder grooves, breast pain, rashes under the breast, exercise intolerance, and poor posture more frequently than those who go on to have smaller resections (P < 0.0005 for all). However, across the range of resection volumes, preoperatively symptomatic patients experienced significant improvement in several symptoms. Results suggested that a larger resection volume may correspond with greater improvement in back pain, neck pain, and poor posture. CONCLUSIONS: We found that reduction mammaplasty has a positive impact on a range of symptoms, even with lower volume resections and regardless of body surface area-calculated adjustments. This adds further weight to the argument that patients should not be denied access to the surgery based on arbitrary volume restrictions. We advocate freedom for the surgeon to make a decision on potential benefits of surgery based around the needs of each individual patient.

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)0.000
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 score0.342
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.026
GPT teacher head0.258
Teacher spread0.232 · 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