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Iron Deficiency Anemia: An Updated Review

2023· article· en· W4385295943 on OpenAlexaff
Alexander K. C. Leung, Joseph M. Lam, Alex H.C. Wong, Kam‐Lun Ellis Hon, Xiuling Li

Bibliographic record

VenueCurrent Pediatric Reviews · 2023
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsUniversity of British ColumbiaAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineAnemiaIron deficiencyIron-deficiency anemiaPediatricsPallorRandomized controlled trialAsymptomaticIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Worldwide, iron deficiency anemia is the most prevalent nutritional deficiency disorder and the leading cause of anemia in children, especially in developing countries. When present in early childhood, especially if severe and prolonged, iron deficiency anemia can result in neurodevelopmental and cognitive deficits, which may not always be fully reversible even following the correction of iron deficiency anemia. OBJECTIVE: This article aimed to familiarize physicians with the clinical manifestations, diagnosis, evaluation, prevention, and management of children with iron deficiency anemia. METHODS: A PubMed search was conducted in February 2023 in Clinical Queries using the key term "iron deficiency anemia". The search strategy included all clinical trials (including open trials, non-randomized controlled trials, and randomized controlled trials), observational studies (including case reports and case series), and reviews (including narrative reviews, clinical guidelines, and meta-analyses) published within the past 10 years. Google, UpToDate, and Wikipedia were also searched to enrich the review. Only papers published in the English literature were included in this review. The information retrieved from the search was used in the compilation of the present article. RESULTS: Iron deficiency anemia is most common among children aged nine months to three years and during adolescence. Iron deficiency anemia can result from increased demand for iron, inadequate iron intake, decreased iron absorption (malabsorption), increased blood loss, and rarely, defective plasma iron transport. Most children with mild iron deficiency anemia are asymptomatic. Pallor is the most frequent presenting feature. In mild to moderate iron deficiency anemia, poor appetite, fatigability, lassitude, lethargy, exercise intolerance, irritability, and dizziness may be seen. In severe iron deficiency anemia, tachycardia, shortness of breath, diaphoresis, and poor capillary refilling may occur. When present in early childhood, especially if severe and prolonged, iron deficiency anemia can result in neurodevelopmental and cognitive deficits, which may not always be fully reversible even with the correction of iron deficiency anemia. A low hemoglobin and a peripheral blood film showing hypochromia, microcytosis, and marked anisocytosis, should arouse suspicion of iron deficiency anemia. A low serum ferritin level may confirm the diagnosis. Oral iron therapy is the first-line treatment for iron deficiency anemia. This can be achieved by oral administration of one of the ferrous preparations, which is the most cost-effective medication for the treatment of iron deficiency anemia. The optimal response can be achieved with a dosage of 3 to 6 mg/kg of elemental iron per day. Parenteral iron therapy or red blood cell transfusion is usually not necessary. CONCLUSION: In spite of a decline in prevalence, iron deficiency anemia remains a common cause of anemia in young children and adolescents, especially in developing countries; hence, its prevention is important. Primary prevention can be achieved by supplementary iron or iron fortification of staple foods. The importance of dietary counseling and nutritional education cannot be overemphasized. Secondary prevention involves screening for, diagnosing, and treating iron deficiency anemia. The American Academy of Pediatrics recommends universal laboratory screening for iron deficiency anemia at approximately one year of age for healthy children. Assessment of risk factors associated with iron deficiency anemia should be performed at this time. Selective laboratory screening should be performed at any age when risk factors for iron deficiency anemia have been identified.

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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0130.010
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.059
GPT teacher head0.364
Teacher spread0.305 · 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
GenreReview

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

Citations92
Published2023
Admission routes1
Has abstractyes

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