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Record W4389684331 · doi:10.1177/22925503231217516

An Assessment of Quality-of-Life Following Tissue Expansion in Pediatric Patients

2023· article· en· W4389684331 on OpenAlexafffund
Dara Rykiss, Rebecca Courtemanche, Sally Hynes

Bibliographic record

VenuePlastic Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicSurgical Sutures and Adhesives
Canadian institutionsBC Children's HospitalUniversity of British Columbia
FundersFaculty of Medicine, University of British Columbia
KeywordsQuality (philosophy)Tissue expansionMedicineEnvironmental sciencePhysicsSurgery

Abstract

fetched live from OpenAlex

Introduction: There is limited data on the effects of tissue expansion (TE) surgery on quality-of-life (QOL) in pediatric patients. Evidence-based information may help clinicians, patients, and their families with treatment decision-making and post-operative expectations. This study explores QOL following TE in pediatric patients. Methods: A post-intervention QOL survey and retrospective chart review was performed. Patients who underwent TE at a pediatric tertiary hospital between October 2004 and March 2020 completed the Glasgow Children's Benefit Inventory or the Glasgow Benefit Inventory. Total scores range from −100 (worsened QOL) to +100 (improved QOL). Participants were also asked if they would recommend TE to other patients with the same indication. Results: The response rate was 38% (n = 20; 14 females, 6 males). The median QOL score was +17[−2,+49]. Higher QOL scores were found for TE indications of scar (+49) and alopecia (+40), compared to giant congenital melanocytic nevus (−2). Higher scores were also associated with shorter time in active treatment ( r = −0.65) and fewer complications ( r = −0.56). 18/20 participants would recommend TE. Participants whose QOL improved (n = 11, 55%) reported increased self-confidence, fitting in with peers, and improved function. Participants with unchanged or decreased QOL (n = 9, 45%) described a negative experience with residual scarring. However, 7/9 with unchanged or decreased QOL would still recommend TE. Conclusions: This preliminary descriptive study demonstrated variable QOL following TE. Patient and treatment-related factors impact QOL outcomes. Despite the range in QOL outcomes, the majority of participants would recommend TE. Further research evaluating QOL following TE is necessary to better understand this relationship.

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)0.004
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 score0.009
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 head0.049
GPT teacher head0.376
Teacher spread0.327 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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