MétaCan
Menu
← Back to cohort
Record W2941766635

Fear of Vomiting and Low Body Weight in Two Pediatric Patients: Diagnostic Challenges.

2017· article· en· W2941766635 on OpenAlexaff
Charlotte Maertens, Jennifer Couturier, Christina Grant, Natasha Johnson

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsVomitingUnderweightWeight lossEating disordersPsychologyPediatricsBody weightPopulationChild and adolescent psychiatryHumanitiesPsychiatryMedicineArtSurgeryBody mass indexOverweightInternal medicineObesity
DOInot available

Abstract

fetched live from OpenAlex

Fear of vomiting can be a symptom associated with several disorders, including Eating Disorders (ED), Specific Phobia (Emetophobia), Avoidant Restrictive Food Intake Disorder (ARFID) and Obsessive Compulsive Disorder (OCD), making proper diagnosis challenging. At this time the literature exploring this symptom is limited, and to our knowledge very few cases have been described in the child and adolescent population. We report here the cases of one child and one adolescent presenting with significant weight loss, food restriction and fear of vomiting. The child's fear of vomiting masked a concurrent desire to achieve fitness and weight loss, which was uncovered following weight restoration. The adolescent patient, although significantly underweight and food avoidant, also expressed no concerns with body image, until weight restored. The history, course in hospital and management of these patients is discussed, along with several challenges that complicated the diagnosis.

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)0.006
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 score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.283
Teacher spread0.260 · 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

Citations12
Published2017
Admission routes1
Has abstractyes

Explore more

Same venuePubMed→Same topicEating Disorders and Behaviors→French-language works237,207→