Extent of Microcytic Anemia among Children in a low-income, Peri-urban Community in the Dominican Republic using different cut-points
Bibliographic record
Abstract
Response to anemia in low-resource settings may entail presumptive iron treatment for those with Hemoglobin (Hb) levels falling below certain cut points. This study aimed to inform an anemia screening and treatment service in a low-income community in the Dominican Republic by determining (i) the prevalence of anemia in young children attending this service using different Hb cut points and (ii) the extent of microcytosis using different recommended cut points for the mean corpuscular volume (MCV). Using the WHO recommended cut point of <11.0 g/dl, 69.9% of 292 children would be classified as anemic, while using a more conservative cut point, <10.0 g/dl, 34.6% would be identified. Depending on the Hb cut point and which of two age-based MCV cut points are used, the prevalence of microcytosis within the anemic subsamples ranged from 23.5% to 80.2%. With increasing availability of complete blood counts in low resource settings (vs. Hb only), more sophisticated management algorithms are necessary to guide primary care efforts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".