MétaCan
Menu
Back to cohort
Record W3127012980 · doi:10.1186/s13256-020-02575-7

Acute gastric dilatation in a patient with severe anorexia nervosa: a case report

2021· article· en· W3127012980 on OpenAlexafffundabout
Tyler Pitre, Jasmine Mah, Jaclyn Vertes, Barna Tugwell

Bibliographic record

VenueJournal of Medical Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicVascular anomalies and interventions
Canadian institutionsDalhousie UniversityMcMaster UniversityRegional Municipality of Waterloo
FundersDalhousie University
KeywordsAnorexia nervosaMedicinePerforationAbdominal painAnorexiaComplicationBulimia nervosaEating disordersSurgeryPediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Acute gastric dilatation (AGD) leading to gastric necrosis and perforation has been reported to be a rare but fatal complication in young patients with eating disorders, particularly anorexia nervosa. CASE PRESENTATION: We report a case of a Canadian female patient presenting with mild abdominal pain, with a history of anorexia nervosa, the binge/purge subtype, who was found to have severe acute gastric dilatation on subsequent computed tomography imaging. Her clinical course was uncomplicated after gastric decompression. The cause of her AGD was thought to be secondary to dysmotility disorder caused by her anorexia nervosa. CONCLUSION: Our case report demonstrates the importance of clinical identification of AGD and subsequent diagnosis and management. Because of the urgency to rule out obstruction or perforation through consultation or additional imaging modalities, recognition and correct diagnosis of this condition is necessary for appropriate patient management. In addition, our case report adds to an underreported but important complication of anorexia nervosa.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.296
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations11
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Medical Case ReportsSame topicVascular anomalies and interventionsFrench-language works237,207