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Record W3029265816 · doi:10.1097/tp.0000000000003333

The Meaning Behind the Scar: Anonymous Live Liver Donors’ Perceptions of Their Surgical Scars

2020· article· en· W3029265816 on OpenAlexaff
Sandra Krause, Cheryl Pritlove, Susan Abbey, Judy Jung

Bibliographic record

VenueTransplantation · 2020
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsScarsDonationMedicineOptimal distinctiveness theoryPopulationAnonymityPerceptionAutonomyMeaning (existential)Qualitative researchSurgeryPsychologySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: Scarring can greatly impact quality of life for individuals (ie, causing depression posttraumatic stress disorder and body image issues). Those who wish to be anonymous live liver donors are warned of the potential negative psychological impacts associated with the large scar left from liver donation surgery. Given the unique degree of autonomy that these patients have over their surgery, we explore whether a sample of 26 anonymous live liver donors experience a unique relationship with their scar. METHODS: Anonymous donors participated in a semistructured qualitative interview examining their experience with donation. Interviews were audio-recorded, transcribed, and analyzed using the constant comparison method for themes pertaining, to participants' perception of their scar. RESULTS: Five main themes were identified-a marker of satisfaction about the donation experience, a physical reminder of donation, a trigger for recipient-related thoughts, an awareness tool, and a potential threat to anonymity. Donors did not voice any body image or cosmetic concerns due to their scars. Instead, discussions about the negative aspects of scarring centered around the identifying nature of their scar. CONCLUSIONS: These findings help underscore the distinctiveness of anonymous living liver donors as a patient population. Preparing anonymous living liver donors for different types of cosmetic issues relating to their scar (ie, as a possible threat to their desired anonymity) may be more appropriate than preparing them in the same way as other donor populations.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.286

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 head0.020
GPT teacher head0.249
Teacher spread0.229 · 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

Citations9
Published2020
Admission routes1
Has abstractyes

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