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Record W4414512597 · doi:10.1177/2050313x251377265

Pseudothrombotic microangiopathy resulting from severe vitamin B12 deficiency in a pediatric patient with autism: A case report

2025· article· en· W4414512597 on OpenAlexaff
Ilana Walters, Caroline Malcolmson, Renee Potashner, Romy Cho

Bibliographic record

VenueSAGE Open Medical Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsVitamin B12NeutropeniaAnemiaHemolytic anemiaCyanocobalaminCobalaminMegaloblastic anemiaHemoglobinopathy

Abstract

fetched live from OpenAlex

Vitamin B12 deficiency is typically characterized by megaloblastic anemia, but can also rarely present with pseudomicroangiopathic hemolytic anemia or multilineage cytopenias secondary to dyserythropoiesis and apoptotic cell death. We describe a 12-year-old male with autism spectrum disorder who presented with fever, night sweats, and weight loss. Laboratory testing identified severe neutropenia and hemolytic anemia, and an undetectably low vitamin B12 level. Dietary history confirmed significant food restriction over the preceding 6 months. He received 1000 µg of intramuscular vitamin B12 daily for 7 days and subsequently transitioned to oral therapy. His hemoglobin, hemolytic markers, and neutrophil count normalized within 13 days of vitamin B12 initiation. Our report describes a rare and severe manifestation of vitamin B12 deficiency in a patient with autism spectrum disorder and emphasizes the importance of screening for micronutrient deficiencies among vulnerable pediatric populations to avoid unnecessary and invasive testing.

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)0.002
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0040.003
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 head0.012
GPT teacher head0.289
Teacher spread0.277 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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