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Record W4294199916 · doi:10.1192/j.eurpsy.2022.287

Giving a leg up part 2: the ethical challenges of Body Integrity Dysphoria

2022· article· en· W4294199916 on OpenAlexaffabout
Guillaume Dumais-Lévesque, S. Pham Thi-Desmarteau

Bibliographic record

VenueEuropean Psychiatry · 2022
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsHôpital de l'Enfant-JésusUniversité Laval
Fundersnot available
KeywordsGender dysphoriaPsychologyAmputationAmbivalenceFeelingDysphoriaComprehensionMultidisciplinary approachPresentation (obstetrics)Limb amputationMedicineSocial psychologyPsychiatryGender identitySurgeryPolitical science

Abstract

fetched live from OpenAlex

Introduction Body Integrity Dysphoria (BID) is a diagnosis, newly described in ICD-11, “characterised by an intense and persistent desire to become physically disabled in a significant way… accompanied by persistent discomfort, or intense feelings of inappropriateness concerning current non-disabled body configuration”. Patients with BID may request the amputation of healthy limbs but this raises multiple ethical challenges. Objectives By the end of the presentation, participants 1) will better understand the new diagnosis of Body Integrity Dysphoria; 2) will be able to have some landmarks to evaluate and manage this rare condition 3) will discern the ethical challenges raised by an elective or emergent amputation request. Methods We present a complex case we faced in Quebec City, Canada. A young adult admitted to the intensive care and burn unit was referred to our Consultation Liaison (CL) team. For the second time in a year, the individual deliberately burned his leg, with the intention of having an amputation. Based on the available literature and our experience, we explore the ethical aspects of this case. Results For this situation, the multidisciplinary team faced uncertainty and ambivalence toward the best treatment options. Deontological concerns and ethical issues emerged from the patient’s request for amputation. Conclusions We outline how ethical concepts helped us to gain a shared comprehension of the patient’s extraordinary request, both during treatment and afterwards. Disclosure No significant relationships.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.313
Teacher spread0.268 · 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 designNot applicable
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
Published2022
Admission routes2
Has abstractyes

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