MétaCan
Menu
Back to cohort
Record W2902122976 · doi:10.1542/peds.2018-3068

Looking Behind the Iron Curtain

2018· letter· en· W2902122976 on OpenAlexaboutno aff
Alan R. Cohen

Bibliographic record

VenuePEDIATRICS · 2018
Typeletter
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnemiaIron deficiencyPediatricsHemoglobinIron-deficiency anemiaTest (biology)FerritinScreening testIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

One of medicine’s greatest strengths is its willingness to reexamine commonly accepted practices. This has been particularly true in the clinical application of screening tests. Frequently, the unsettling controversy that accompanies such reexamination helps shape the improvement that follows. In their article entitled “Screening for Iron Deficiency in Early Childhood by Using Serum Ferritin in the Primary Care Setting,” Oatley et al1 raise a fundamental and likely controversial question about the value of the current practice of measuring the hemoglobin level at 1 year of age. Are we screening for anemia, iron deficiency, or iron deficiency anemia? Only when that question is answered can we rationally choose the right test and the right timing.Current practice, as recommended by the American Academy of Pediatrics, is to test for anemia, either with a complete blood count test or a dedicated hemoglobin analyzer, with further testing before or after iron replacement if the hemoglobin level is <11.2 The problem, however, is that the positive predictive value for iron deficiency of a hemoglobin level <11 g/dL in toddlers is estimated to be 29%.3 Although it is true that some of these children may be incidentally discovered to have another hematologic disorder such as spherocytosis or pyruvate kinase deficiency, most do not, and routine screening for such disorders has never been endorsed. Perhaps the stronger case for testing at 1 year of age is to detect early iron deficiency rather than anemia because abnormally low iron stores may be a precursor to anemia or may be associated with neurodevelopmental impairments even before anemia develops. Pursuing this approach to screening in their study of a large cohort of young children in Canada receiving routine health care, Oatley et al1 found that the prevalence of anemia at 12 to 13 months of age was at its highest (19.2%), whereas the prevalence of low ferritin levels was at its lowest (6.4%). Over the next 12 months, the prevalence of anemia decreased while the prevalence of low ferritin levels more than doubled. A reasonable conclusion from these data and other analyses in this provocative study is that in otherwise healthy 12-month-old children, hemoglobin levels near the threshold of 11 g/dL frequently, if not usually, have little to do with iron stores but also may lead to unnecessary worry, treatment, and retesting. Moreover, if detection of iron deficiency remains the major goal of screening, we may currently be using the wrong test at the wrong time. A serum ferritin level test at 15 to 18 months may be optimally timed to identify the largest number of affected children.Are we ready to replace the hemoglobin level test with a serum ferritin level test and move the screening back a few months? Not yet. First, further studies should be done to confirm the value of the serum ferritin level as a screening test by revealing that the thresholds have statistical meaning and clinical value.4 Secondly, other key determinants of the clinical usefulness of a screening test include cost and convenience. Currently, most ferritin levels are measured in hospital-based or commercial laboratories by using blood obtained by venipuncture. (However, for a glimpse of the future, check out the ironPhone!5) At least some hemoglobin measurements are performed as office procedures by using capillary blood samples. Pricing varies widely, but typically the price of a ferritin level test is about twice the cost of a complete blood count test. Finally, as pointed out by the US Preventive Services Task Force, no study has yet revealed that detecting either iron deficiency or iron deficiency anemia at 12 months of age is associated with better growth, cognition, or neurodevelopmental outcomes.6Given the uncertainty about the current screening strategy and while waiting for the data behind new strategies to mature fully, I would suggest the following proposition for further debate. Let us take advantage of the thorough discussion of risk factors for iron deficiency in the American Academy of Pediatrics policy, particularly dietary alterations, and make sure these factors are consistently explored with families and made a part of a thoughtful decision about whom to test, or at the least, whose hemoglobin results need to be pursued. The added time required for this approach would be more than offset by reducing the time, not to mention the cost, of unnecessary screening and futile follow-up testing. And maybe before we finish the debate, we will all have ironPhones.

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)0.011
metaresearch head score (Gemma)0.040
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.011
Scholarly communication0.0080.015
Open science0.0030.005
Research integrity0.0140.038
Insufficient payload (model declined to judge)0.0250.011

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 head0.256
Teacher spread0.244 · 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
GenreCommentary

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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuePEDIATRICSSame topicIron Metabolism and DisordersFrench-language works237,207