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Record W3207093944 · doi:10.1097/scs.0000000000008129

Spontaneous Resolution of Ear Lidding in Newborns: A Prospective Observational Cohort Study

2021· article· en· W3207093944 on OpenAlexaff
Julie Pauwels, D.Y.D. Lu, Frederick K. Kozak, Neil K. Chadha

Bibliographic record

VenueJournal of Craniofacial Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicReconstructive Facial Surgery Techniques
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineProspective cohort studyIntervention (counseling)Observational studyDepression (economics)PediatricsDeformitySurgeryInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

ABSTRACT: Ear lidding is a cosmetic outer ear shape deformity commonly observed in newborns. Although lidding is considered a benign condition, psychological concerns such as bullying and depression have been observed in older children supporting correction of the condition. Nonsurgical correction of lidding using molding and splinting techniques has become increasingly popular, achieving successful outcomes in the majority of cases. Spontaneous resolution of the condition has also been reported in the literature however there is minimal prospective data available on the natural progression of ear lidding. In our case series of 11 closely followed newborns, we aimed to characterize the natural progression and resolution of lidding. Ten consecutive newborns participated in the observation plan and all 10 had complete spontaneous resolution of lidding within an average of 40 days. One other newborn's parents self-selected to have molding and splinting treatment. These results suggest that cosmetic treatment for less severe cases of ear lidding may be unnecessary as they have the potential to resolve on their own. Future research in this area could include controlled study designs and more work is needed to identify, which infants will require treatment. Our study may provide helpful reassurance to families and physicians that many newborns may see complete resolution of lidding without intervention.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 integrity0.0000.000
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 head0.035
GPT teacher head0.302
Teacher spread0.267 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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