The Emerging Technique of the Antiptosis Subdermal Suspension Thread
Bibliographic record
Abstract
BACKGROUND: The improvement in and rejuvenation of facial features through the array of facioplasty techniques currently available remains intimately linked with the risk of complications associated with the cosmetic surgery procedure. The need for novel approaches to cosmetic facial surgery that achieve the desired end result for the patient while minimizing inherent risks and complications for the surgeon is acute. OBJECTIVE: To determine the efficacy of the Aptos subdermal suspension thread technique as an alternative to current facioplasty options through a studied series of this procedure. METHODS: Three hundred fifty Aptos procedures were performed on female patients as office-based, single-surgery procedures over a 43-month period. The procedure outcome was assessed in each case through patient interviews and surgeons' observations. RESULTS: Three hundred forty eight of the 350 Aptos procedures resulted in a completely satisfactory end point of facial rejuvenation. No major complications were reported, and mild asymmetry, ecchymosis, erythema, bleeding, visible threads, swelling, and discomfort were the only minor. Transient complications and side effects were noted. CONCLUSION: Our case study strongly suggests that the Aptos subdermal suspension thread technique provides an effective and much safer alternative to current facioplasty procedures for facial rejuvenation.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".