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Record W2374421410

Impact on Postoperative Scar Aesthetics of Incision Length in Thyroidectomy

2012· article· en· W2374421410 on OpenAlexaboutno aff
Luo Bi

Bibliographic record

VenueZhongguo pu-wai jichu yu linchuang zazhi · 2012
Typearticle
Languageen
FieldMedicine
TopicFacial Trauma and Fracture Management
Canadian institutionsnot available
Fundersnot available
KeywordsScarsMedicineSurgeryPatient satisfactionThyroidectomyProspective cohort studyHypertrophic scarThyroidInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective To evaluate if performing thyroidectomy through small incision has any notable aesthetic impact on patients compared with larger incision.Methods Thirty consecutive patients underwent thyroidectomy were enrolled from March 2008 to June 2008 in this prospective randomized pilot study.The incision length was 6 cm in the small incision group and 9 cm in the larger incision group.After 3 years follow-up,the scar aesthetics were evaluated by patients and surgeons using the Patient and Observer Scar Assessment Scale(POSAS),Vancouver Scar Scale(VSS),respectively.Digital photographs about scars were taken and assessed by non-research related viewers.Results There were 13 cases who received scar aesthetic assessment in both groups.The demographic characteristics of both groups were comparative.The overall patients’ satisfactions for the small incision group and the larger incision group were(2.5±1.9)scores and(2.2±1.5)scores,respectively(P=0.55).There were no significant differences in scar assessment scale score as for other scar assessment scales(including VSS score,PSAS score,and OSAS score)between the two groups.The evaluation of digital photographs about scars by non-research related viewers was no significant difference(P0.05).Conclusion Larger cervical scar in thyroidectomy does not decrease patients’ satisfaction with their scar results.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.322
Teacher spread0.301 · 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 teacher head, not a consensus.

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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueZhongguo pu-wai jichu yu linchuang zazhiSame topicFacial Trauma and Fracture ManagementFrench-language works237,207