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Record W2233555004 · doi:10.1093/pch/19.2.84

Vitamin B12 deficiency with intrinsic factor antibodies in an infant with poor growth and developmental delay

2014· article· en· W2233555004 on OpenAlexaff
Kathleen McNeil, Dhiman Chowdhury, Lynette S. Penney, Mohsin Rashid

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsVitamin B12Intrinsic factorMedicineMacrocytic anemiaFailure to thrivepernicious anemiaMethylmalonic acidAnemiaPediatricsCobalaminInternal medicine

Abstract

fetched live from OpenAlex

Vitamin B12 deficiency is very rare in infants and may lead to serious hematological and neurodevelopmental abnormalities. The present article describes a case involving a seven-month-old boy with severe vitamin B12 deficiency, likely caused by juvenile pernicious anemia, an entity rarely described. The child presented with feeding intolerance, poor growth and developmental delay. He was noted to have macrocytic anemia, a markedly low serum vitamin B12 level, and elevated homocysteine and methylmalonic acid levels. Antibodies to intrinsic factor were positive. The mother was healthy, with normal vitamin B12 status. Therapy with vitamin B12 supplements led to excellent recovery of symptoms. Vitamin B12 deficiency should be considered in children presenting with failure to thrive, especially when compounded with neurological symptoms. Early diagnosis and adequate treatment is essential to avoid serious complications.

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)0.003
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.013
GPT teacher head0.274
Teacher spread0.261 · 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
Published2014
Admission routes1
Has abstractyes

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