A Rare Case of Haemoglobin J-Toronto in a Child
Bibliographic record
Abstract
Introduction: India is an ethnically diverse country with marked regional variation. This diversity is often reflected in the presence of different Hemoglobin variants. Hb variants arise due to mutations in the genes encoding for the α-chain and β-chain. Hb J is an infrequently found α-globin variant. It is a Fast moving hemoglobin. Haemoglobin J (Hb-J) was first described by Thorup et al. in an African-American patient (1956) and since then more than 50 variants of Hb-J are identified. Hb J-Toronto [alpha5(A3) Ala>Asp] is one of the rare variants identified. Case report: Blood sample of one year old child for high-performance liquid chromatography was received. The HPLC showed an abnormally high peak in P3 window on BIO RAD D10 machine. The high-performance liquid chromatography showed normal hemoglobin Hb F and Hb A2, but showed elevated levels of P3 (31.7%) which indicates presence of a Hb J variant. Conclusion: Hb J-Toronto is a rare variant of abnormal hemoglobin. It has little clinical significance in heterozygous state but when combined with other variants, they may give rise to severe disease.Prenatal analysis, especially by HPLC, is a key screening method to avoid hemoglobinopathies in off springs. One important clinical condition which may lead to a wrong diagnosis of FMH’s is uncontrolled diabetes mellitus.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".