Haemoglobin Etobicoke, an incidental finding in an Irish diabetic
Bibliographic record
Abstract
It is well recognized that haemoglobin variants can be detected during the measurement of HbA1c by high-performance liquid chromatography (HPLC). A number of variants have been reported as compromising the quantification of HbA1c, a marker used in the assessment of glycaemic control in diabetes. We describe a case of haemoglobin Etobicoke, a rare alpha chain variant detected in an Irish diabetic during HbA1c analysis. Its identity was confirmed using a series of investigations. These included haemoglobin electrophoresis at alkaline and acid pH, isoelectric focusing and globin chain electrophoresis. Ultimately mass spectrometry isolated the mutation at position alpha 84 (F5). Haemoglobin Etobicoke, first described in Canada in 1969 has not previously been detected on HbA1c analysis. In the presence of this rare variant, HbA1c, a standard method using HPLC to assess glycaemic control in diabetes is unreliable and alternatives such as fructosamine need to be considered. HbA1c measured by automated HPLC will effectively screen populations where haemoglobin variants were not previously known. Precise identity of these variants when they are detected is crucial to the reliable interpretation of HbA1c analyses.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".