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Reply: Effects of Nitroglycerin Ointment on Mastectomy Flap Necrosis in Immediate Breast Reconstruction: A Randomized Controlled Trial

2016· letter· en· W2320352559 on OpenAlexaffabout
Perry Gdalevitch, Penelope M. A. Brasher, Sheina A. Macadam

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2016
Typeletter
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsUniversity of British Columbia
FundersInha University
KeywordsOdds ratioRelative riskAbsolute risk reductionMedicineOddsRandomized controlled trialNumber needed to treatBreast reductionMastectomySurgeryConfidence intervalInternal medicineBreast cancerMammaplastyLogistic regressionCancer

Abstract

fetched live from OpenAlex

Sir: We thank Dr. Hwang for his interest in our article1 on the effects of nitroglycerin ointment on mastectomy flap necrosis. We would like to address his questions regarding dosing considerations of the nitroglycerin ointment and odds ratio reporting for this trial. There are a number of summary measures that can be used when reporting a between-group comparison of a binary outcome from a randomized trial; the absolute risk reduction (also called the risk difference), the relative risk reduction, and the odds ratio are the most common. We chose to present the risk difference because of its ease of interpretation. The odds ratio has useful mathematical properties but is the least intuitive and is often misinterpreted as a relative risk.2,3 When the outcome is not rare, the odds ratio will overestimate the relative risk. For example, in our study, the relative risk of mastectomy flap necrosis is 0.45 and the odds ratio is 0.35. Relative risks are easy to interpret but can exaggerate small, unimportant differences; for example, both a reduction from 30 percent to 15 percent and a reduction from 0.3 percent to 0.15 percent yield a relative risk of 0.5. However, this same property makes the relative risk attractive for meta-analysis when there is variation in the control group event rates.4 In our view, what is most important is to report the number of events in each group; readers can then calculate the summary measure of their choice as Dr. Hwang has done. We note that there is an error in Dr. Hwang’s letter; the p value is 0.006, not 0.068. Dr. Hwang also raises an interesting issue relating to the dosing of nitroglycerin ointment. We selected a dose of 45 mg to be applied as a thin layer concentrically from the center of the breast to the periphery. In reality, the ointment should be applied to areas of skin that are at highest risk of mastectomy flap necrosis. Often, the area most at risk is the nipple-areola complex, as it is the farthest point from the chest wall and relies on blood supply from the surrounding skin. We concede that this is not an exact science in that nitroglycerin ointment was not originally intended for its effect on vasodilation of the skin. Administration of nitroglycerin for cardiac patients is equally imprecise, as application surface areas vary and dosage is guided by the systemic response.5 Although the concept of a dose per unit area would be more scientific, we do not feel that it would be of any clinical benefit, as the dose that each patient could tolerate depends on many other factors, including body weight, blood pressure, and sensitivity to nitrates. Thus, clinical endpoints must guide the use of this ointment. As stated in our article, we recommend a single application of no more than 45 mg starting over the area of skin that is most at risk for necrosis. Blood pressure monitoring should be instituted routinely. We look forward to future studies exploring repeated application and dosing for bilateral cases. DISCLOSURE The authors have no financial interest to declare in relation to the content of this communication. Perry Gdalevitch, M.D., M.Sc.Penelope Brasher, Ph.D.Sheina Macadam, M.D., M.S.Division of Plastic and Reconstructive SurgeryUniversity of British ColumbiaVancouver, British Columbia, 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 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)0.018
metaresearch head score (Gemma)0.132
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.024
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.132
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0030.001
Research integrity0.0240.026
Insufficient payload (model declined to judge)0.0090.004

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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 designRandomized trial
Domainnot available
GenreCommentary

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
Published2016
Admission routes2
Has abstractyes

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