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Record W7123866000 · doi:10.1093/pch/pxaf091

Navigating treatment dilemmas in severe paediatric IDA: A case report

2025· article· en· W7123866000 on OpenAlexaff
Rachel Fagen, Rachel Howard, Matthew Speckert

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsAnemiaBlood transfusionTachycardiaIron-deficiency anemiaIron deficiencyIntravenous iron

Abstract

fetched live from OpenAlex

Iron deficiency anemia (IDA) is a leading cause of anemia worldwide, often managed with oral iron. Severe paediatric cases, however, raise uncertainty about when to use packed red blood cell (pRBC) transfusion versus intravenous (IV) iron. We report a 16-year-old male with autism spectrum disorder and severe nutritional IDA (hemoglobin 31 g/L) who presented with tachycardia and hypotension but no acute decompensation. Although transfusion was discussed, the patient declined, and he was managed with IV iron followed by oral supplementation. Hemoglobin recovery was brisk, rising by 13 g/L within 5 days, but functional recovery was slow, taking 6 months. This case highlights the therapeutic dilemma in adolescents with chronic severe IDA who may meet criteria for transfusion yet remain clinically stable. IV iron offers a viable alternative in this setting, but paediatric guidelines are needed to better define transfusion thresholds and the role of IV iron.

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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0040.005
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 head0.014
GPT teacher head0.315
Teacher spread0.302 · 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

Explore more

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