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Factors predictive of ten-year mortality in severe anorexia nervosa patients

2010· article· en· W1490277623 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueActa Psychiatrica Scandinavica · 2010
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsSte. Anne's Hospital
Fundersnot available
KeywordsAnorexia nervosaBody mass indexMedicineEating disordersAnorexiaBulimia nervosaSeriousnessPsychiatryPediatricsInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Little is known concerning mortality and predictive factors for anorexia nervosa in-patients. This study aimed to establish mortality rates and identify predictors in a large sample of adults through a 10-year post in-patient treatment follow-up. METHOD: Vital status was established for 601 anorexia nervosa (DSM-IV) consecutive in-patients with initial evaluation at admission. Standardized mortality ratio (SMR) was calculated. Cox analyses for hypothesized predictors of mortality were performed. RESULTS: Forty deaths were recorded. SMR was 10.6 [CI 95% (7.6-14.4)]. Six factors at admission were associated with death: older age, longer eating disorder duration, history of suicide attempt, diuretic use, intensity of eating disorder symptoms, and desired body mass index at admission. CONCLUSION: Anorexia nervosa in-patients are at high risk of death. This risk can be predicted by both chronicity and seriousness of illness at hospitalization. These elements should be considered as warnings to adapt care provision and could be targeted by treatment.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.299
Teacher spread0.283 · 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