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Screening for Iron Deficiency Anemia in at Risk Children in the Pediatric Emergency Department

2007· article· en· W2040742236 on OpenAlexaffabout
Roberta Berard, Doreen Matsui, Tim Lynch

Bibliographic record

VenuePediatric Emergency Care · 2007
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsChildren's Hospital of Western Ontario
Fundersnot available
KeywordsMedicinePallorAnemiaPediatricsIron deficiencyIron-deficiency anemiaVenipunctureFamily medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the attitudes and reported practices of physicians regarding screening for iron deficiency anemia in at-risk children in pediatric emergency departments (PEDs) across Canada. METHODS: A standardized survey was mailed to 183 PED physicians at 10 tertiary care PED across Canada. The practices and attitudes regarding screening for iron deficiency anemia were collected via a questionnaire consisting of single select closed-ended items and items which required ranking in order of importance. RESULTS: Sixty-one percent (111/183) of physicians responded to the survey. Ninety-six percent of respondents do not routinely screen for iron deficiency anemia. One third of respondents believed that screening for iron deficiency anemia in the PED is possible. The remaining stated lack of time, difficulty with follow-up, it not being an emergent issue and cost as prohibitive factors. One third of participants stated that 21% to 40% of the pediatric patients seen in their PED did not have a primary care physician. The main considerations in deciding on whom to perform venipuncture were based on dietary history and physical examination with a history of consumption of milk greater than 24 ounces per day (94%) and conjunctival or skin pallor (97%, 94%, respectively) selected as the most important items. CONCLUSION: The results of this study indicate that Canadian PED physicians are not routinely screening for iron deficiency anemia, although they demonstrate knowledge of the risk factors for iron deficiency anemia and recognize the importance of diagnosis and treatment to prevent long-term morbidity.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.280
Teacher spread0.268 · 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 teacher head, not a consensus.

Study designObservational
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

Citations5
Published2007
Admission routes2
Has abstractyes

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