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Record W4255769332 · doi:10.1097/prs.0000000000000574

Randomized Controlled Trial Comparing Health-Related Quality of Life in Patients Undergoing Vertical Scar versus Inverted T-Shaped Reduction Mammaplasty

2014· letter· en· W4255769332 on OpenAlexaffabout
Achilleas Thoma

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2014
Typeletter
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRandomized controlled trialClinical equipoiseMammaplastyMedicineRandomizationGeneralizability theoryQuality of life (healthcare)Breast reductionPopulationHealth carePhysical therapySurgeryPsychologyNursing

Abstract

fetched live from OpenAlex

Sir: I thank Dr. Swanson for his critique of our article.1,2 I emphasize that our study population is derived from a publicly funded health care system. The main outcome was the clinical effectiveness, i.e. quality-of-life improvement, of the two breast reduction techniques. The cosmetic outcome was not under consideration. This was made clear in the article. Below, I address his specific methodologic concerns. First, it is possible that many patients who undergo breast reductions are interested in aesthetic outcomes as much as the quality of life. Combining both self-pay and publically funded patients would have confounded the quality-of-life findings and the subsequent cost-effectiveness analysis. Second, Dr. Swanson questioned whether equipoise existed in our trial. Equipoise is a precondition for performing a randomized controlled trial. Performing a randomized controlled trial is not appropriate if there is clear-cut evidence that one technique is superior. At the inception of our study, there was truly ambivalence that one technique was better than the other as indicated by two surveys of plastic surgeons in North America3,4; therefore, equipoise was met. Third, his concern about randomization, its proximity to surgery, and exclusion of self-pay patients has no merit. We stand by our randomization method, performed a half hour preoperatively. No patient was coerced to join the trial.1 Fourth, on the issue of generalizability, readers of our article were challenged to read it and decide for themselves whether our study findings apply to their patients. From Dr. Swanson’s critique, it appears that his practice is cosmetic, and as we excluded self-pay patients, the findings may not apply to his patients. Fifth, our choice of a randomized controlled trial design over an observational study design was based on the predominance of the evidence that supports the randomized controlled trial as the superior study design for minimizing bias. It is true that there are inherent difficulties in the implementation of a surgical randomized controlled trial.5 This no reason not to apply it. For a randomized controlled trial to be successful, we need to (1) ask a good clinical question, (2) perform good randomization, (3) recruit a large number of patients, and (4) have an independent assessor. Unfortunately, despite three decades of evidence-based medicine teaching, many plastic surgeons persist in showing before-and-after photographs as the definitive evidence of their work. The second “sin” is failure to collaborate and pool cases (i.e., adequate sample size) to help us find the “truth.” Sixth, our choice of health-related quality-of-life scales was based on a previous observational study6 in which we found these scales to be reliable, valid, and responsive to change. We would have used the BREAST-Q in addition had this been available at the inception of the study. Having rebutted the most serious methodologic concerns, I would tend to agree that the vertical scar reduction is most likely a legitimate technique for self-pay patients as well. The cost-effectiveness analysis (in press) will tell us whether this technique is more (or less) cost-effective compared with the inverted T-shaped technique. DISCLOSURE The author has no financial interest to declare in relation to the content of this article. No external funding was received. Achilleas Thoma, M.D., M.Sc. Division of Plastic Surgery Department of Surgery Department of Clinical Epidemiology and Biostatistics Faculty of Health Sciences Surgical Outcomes Research Center Department of Surgery McMaster University Hamilton, Ontario, Canada

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)0.003
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.002
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.278
Teacher spread0.224 · 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; both teacher heads agree on what is shown here.

Study designRandomized trial
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

Citations2
Published2014
Admission routes2
Has abstractyes

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