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Record W4309210816 · doi:10.3390/jpm12111900

The Postsurgical Clavien–Dindo Classification in Minor Surgery Can Improve Perception and Communication (Investigation on Blepharoplasty)

2022· article· en· W4309210816 on OpenAlexaff
Gertraud Eylert, Christina H. Wolfsberger, Frederike Reischies-Meikl, Raimund Winter, Susan Dong, Birgit Michelitsch, Lars‐Peter Kamolz, David B. Lumenta

Bibliographic record

VenueJournal of Personalized Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicFacial Rejuvenation and Surgery Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineBlepharoplastyComplicationSurgeryGrading (engineering)EyelidMinor surgery

Abstract

fetched live from OpenAlex

The postsurgical Clavien–Dindo classification in minor surgery can improve perception and communication (Investigation on Blepharoplasty). Background: Minor surgery lacks a standardized postoperative complication classification. This leads to the presentation of inaccurate postsurgical complication rates and makes comparisons challenging, especially for patients seeking information. This study aims to evaluate a standardized five-step complication grading system (Clavien–Dindo Classification, CDC) on the example of blepharoplasty, which is the most performed minor aesthetic surgery worldwide. Methods: A retrospective observational exploratory study of patients (N = 344) who received a bilateral upper eyelid blepharoplasty under local anesthesia from the same surgical staff was performed. Data were retrieved from the electronic patient record: the CDC grading and the surgeon-reported complications (N = 128) at the first follow-up on day 7. In addition, a telephone survey with patients (N = 261) after 6 months was performed, which consisted of 7 complication-related yes/no questions. Results: Based on the CDC, 41.6% of patients were classified as having no complications, and 58.4% had one. Furthermore, 1 patient (0.3%) received a revision under general anesthesia (CDC IIIb), 18 patients (5.2%) were re-operated under local anesthesia (CDC IIIa), 23 patients (6.7%) required pharmacological intervention (CDC II), and 159 patients (46.2%) had a complication from the normal postoperative course and received supportive treatment (CDC I). Moreover, 90.5% of the mentioned complications accounted for Grade I and II; 94% of the patients subjectively experienced no complications; 51% of patients were pleased with the surgery even though a complication occurred according to the CDC; 34% of complications escaped the awareness of the surgeon. Conclusions: Grade I and II complications occurred frequently. Complications escaped the perception of the patients and surgeons. The classification identifies a wide variety of postsurgical complications and allows a standardized comparison in minor surgery objectively. Potential: The CDC in minor procedures can improve the (institutional) preoperative communication with patients regarding potential postoperative expectations. Furthermore, the classification can be a useful tool to detect complication-related costs, identify insurance-related requests, and support evidence in medicolegal disputes. The example of blepharoplasty can be translated to various other and even less invasive procedures.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.311
Teacher spread0.257 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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