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Record W4321168850 · doi:10.1097/mpg.0000000000003736

Evaluation and Management of Iron Deficiency in Children Undergoing Intestinal Rehabilitation—A Position Paper From the NASPGHAN Intestinal Rehabilitation Special Interest Group

2023· article· en· W4321168850 on OpenAlexaff
Saurabh Talathi, Shweta S. Namjoshi, Vikram Raghu, Danielle Wendel, Stephanie B. Oliveira, Kerry Reed, Dianna Yanchis, Ethan A. Mezoff

Bibliographic record

VenueJournal of Pediatric Gastroenterology and Nutrition · 2023
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineRehabilitationPopulationIntensive care medicineAnemiaIron deficiencyIron-deficiency anemiaAsymptomaticPediatricsPediatric gastroenterologyIrritabilityHepatologyPhysical therapyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Iron deficiency (ID) is the most common nutritional deficiency affecting children undergoing intestinal rehabilitation (IR). Patients may be asymptomatic or present with nonspecific symptoms including fatigue, irritability, and dizziness. The diagnosis of ID in this population can be complicated by the coexistence of systemic inflammation or other nutritional deficiencies which may mimic ID. Many routinely available laboratory tests lack specificity and no consensus on screening is available. Success in oral and enteral treatment is impeded by poor tolerance of iron formulations in a population already challenged with intolerance. Newer parenteral iron formulations exhibit excellent safety profiles, but their role in repletion in this population remains unclear. The following report, compiled by a multidisciplinary group of providers caring for children undergoing IR and representing the North American Society for Pediatric Gastroenterology, Hepatology, and Nutrition Special Interest Group for Intestinal Rehabilitation, seeks to address these challenges. After discussing iron physiology and population-specific pathophysiology, we make recommendations on iron intake, iron status assessment, and evaluation for alternative causes of anemia. We then provide recommendations on iron supplementation and treatment of ID anemia specific to this nutritionally vulnerable population.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.011
GPT teacher head0.262
Teacher spread0.251 · 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 designNot applicable
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

Citations8
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric Gastroenterology and NutritionSame topicIron Metabolism and DisordersFrench-language works237,207