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Record W42025021

The significance of cardiac surgery scars in adult patients with congenital heart disease.

2006· article· en· W42025021 on OpenAlexaff
Michal J. Kantoch, Jonathan Eustace, Ruth L. Collins-Nakai, Dylan Taylor, Jennifer A Bolsvert, Pauline S Lysak

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsHealth Sciences CentreUniversity of Alberta
Fundersnot available
KeywordsMedicineScarsQuality of life (healthcare)Heart diseaseDiseaseSurgeryEveryday lifePhysical therapyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Scars resulting from heart surgery mark patients for life, yet their effect on patients' well-being is unknown. AIM: To determine what spheres of life may be affected by surgical chest scarring. METHODS: A preliminary questionnaire asked 10 random patients at our adult congenital heart disease clinic to describe personal consequences (if any) of having a cardiac surgery scar. Results provided the basis to design another questionnaire which asked specific questions and attempted to rate the effect of scars on identified areas of concern. RESULTS: One hundred consecutive patients attending the clinic (53 males) aged 18 to 50 (mean 27 years) participated. Sixty percent reported that the scar affected them less now than in adolescence. The body was perceived as disfigured by 58%. The scar was concealed by 48% of patients. Attention to the scar made 19% of patients feel negative, 58% neutral and 23% positive. Chest scarring was associated with decreased self-esteem in 20% and decreased self-confidence in 18% of patients. Patients reported less effect of chest scarring on their choice of career, success in life, friendships, sexual relationships and choice of recreation. Sixty-one percent reported a positive effect on appreciation of health. CONCLUSION: Scars resulting from heart surgery may have a considerable effect on patients' body image and several aspects of everyday life.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.018
Threshold uncertainty score0.142

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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

Citations34
Published2006
Admission routes1
Has abstractyes

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