MétaCan
Menu
← Back to cohort
Record W4405050476 · doi:10.1182/blood-2024-206197

Changing the Serum Ferritin Lower Limit of Normal to a Clinical Decision Limit: An Acceptability Survey

2024· article· en· W4405050476 on OpenAlexaffabout
Zoe Phillips, Grace H. Tang, Rowan Thillaye-Kerr, Michael Fralick, Angela C. Weyand, Mark Crowther, Rita Selby, Michelle Sholzberg

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreSt. Michael's HospitalSt. Joseph's HospitalUniversity of Toronto
Fundersnot available
KeywordsLimit (mathematics)FerritinMedicineInternal medicineStatisticsMathematics

Abstract

fetched live from OpenAlex

Background Iron deficiency is the most common cause of anemia globally and disproportionately impacts children and women. The symptoms of iron deficiency with or without anemia negatively impact health-related quality of life and are reversible with treatment. The most reliable diagnostic test for iron deficiency, in the absence of concomitant inflammation, is serum ferritin. Multiple recent studies demonstrated that the current ferritin thresholds are inappropriately low (particularly for females), leading to widespread underdiagnosis of iron deficiency. Lack of clear, consistent clinical decision limits for serum ferritin is a barrier to diagnosing and managing patients with iron deficiency. Changing the ferritin lower limit of normal to a clinical decision limit of <30 µg/L for adult patients and <20 µg/L for pediatric patients may prompt healthcare providers to recognize and appropriately manage iron deficiency. The acceptability of such a change amongst health care providers who order serum ferritin is not known, but is important to assess in order to understand provider uptake and develop effective knowledge translation interventions. Methods An electronic survey was disseminated amongst healthcare providers internationally to assess the acceptability of changing serum ferritin lower limit of normal to a clinical decision limit. Participants were identified via snowball sampling using professional connections and/or social media. Descriptive statistics were used to summarize the survey responses and the study was approved by the institutional research ethics board. Results A total of 165 healthcare providers participated in the survey, 93% (153/165) of whom were physicians. Approximately half (54%, 83/153) of physicians were hematologists. Other physician specialties included internal medicine (17%, 26/153), family medicine (6%, 9/153), pediatric specialties (7%, 11/153), obstetrics and gynecology (4%, 6/153), and other (12%, 18/153). Non-physician providers included nurse practitioners (7), registered nurses with expanded scope (1), nurse midwife (1), pharmacist (1), and clinical scientist (1). Respondents were from 23 countries, 38% (63/165) from Canada, 25% (42/165) from the US, and 16% (26/165) from the UK. 68% (113/165) of respondents practiced predominantly in an academic setting. 54% (90/165) worked primarily in the outpatient setting, 27% (44/165) in both inpatient and outpatient settings, and 18% (29/165) practiced in a majority inpatient setting. All respondents indicated that they order serum ferritin on their patients. Most respondents did not have concerns about changing the ferritin lower limit of normal for adults (80%, 123/155) or children (81%, 112/138). When asked to provide reasons for concern, 32% (12/37) indicated that the proposed cut-off of <30 µg/L in adults was too low and would lead to underdiagnosis, and 57% (13/23) responded in kind regarding the proposed cut-off of <20 µg/L in pediatric patients. Five respondents indicated a need for further education. There were no responses indicating concern about incorrect or over-diagnosis of iron deficiency. Conclusions Findings from this international electronic survey demonstrated that health care provider respondents generally do not have concerns regarding implementing a clinical decision limit for ferritin of <30 µg/L for adult patients and <20 µg/L for pediatric patients. Among those who expressed concern, the most common concern was that the proposed clinical decision limit is still too low.

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)0.014
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.045
GPT teacher head0.358
Teacher spread0.313 · 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 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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueBlood→Same topicIron Metabolism and Disorders→French-language works237,207→