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Record W61702297 · doi:10.1520/jfs15578j

HbA1c as a Postmortem Tool to Identify Glycemic Control

2002· article· en· W61702297 on OpenAlexaff
Ruth E. Winecker, CA Hammett-Stabler, JF Chapman, Jeri D. Ropero‐Miller

Bibliographic record

VenueJournal of Forensic Sciences · 2002
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsGlycemicMedicineInternal medicineInsulin

Abstract

fetched live from OpenAlex

Estimates suggest that more than 5A million U.S. citizens unknowingly have diabetes and are at increased risk of morbidity and mortality. We evaluated an immunoturbidimetric measurement of glycated hemoglobin (%HbA1c) as a postmortem tool to identify such individuals. Although postmortem samples undergo some degradation, the effects are not sufficient to invalidate the use of the test or method. Using two study populations whose medical history of diabetes was known, we found the mean %HbA1c of the non-diabetics (5.8+/-0.3) to be statistically different from that of the diabetics (12.4+/-2.8). For the population whose disease status was unknown, the %HbA1c ranged from 4.7 to 16.8. For six unknowns whose values exceeded 7.0%. the mean was 11.7%, which did not differ statistically from the diabetic mean (p = 0.6615). These studies suggest that postmortem blood samples can be used to characterize HbA1c values.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.968
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.301
Teacher spread0.276 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations34
Published2002
Admission routes1
Has abstractyes

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