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Record W60012889 · doi:10.1136/bmj.322.7299.1375

Diabetes black spots and death by postcode

2001· letter· en· W60012889 on OpenAlexaboutno aff

Bibliographic record

VenueBMJ · 2001
Typeletter
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsnot available
Fundersnot available
KeywordsLife expectancyMedicineDiabetes mellitusDemographySocioeconomic statusCause of deathGerontologyQuarter (Canadian coin)PovertyPediatricsDiseaseHistoryEnvironmental healthPopulationInternal medicine

Abstract

fetched live from OpenAlex

Papers p 1389 Like the villain in Treasure Island , diabetes is well known for handing the “black spot” of early demise to its victims. This reputation will be enhanced by a study in this week's BMJ from South Tees, one of the United Kingdom's black spots for both poverty and premature death, mainly from cardiovascular disease. Roper et al present a depressing snapshot of the prospects for diabetic people in the UK today, which shows diabetes to be particularly mean: sexist, ageist, and with a clear tendency to kick the underdog (p 1389).1 Of their 4800 diabetic subjects, a quarter died during the study's six year span—an overall mortality about 2.2 times the national average. Those who developed diabetes youngest had their lives shortened the most: life expectancy was reduced by nine years for those diagnosed by the age of 40 but by only one year for those diagnosed at 80. Women diagnosed between 55 and 65 years of age lost two more years of life than did men. Finally, mortality tracked closely with socioeconomic deprivation, rising steadily from 1.3 times the national average in …

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.005

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 head0.078
GPT teacher head0.445
Teacher spread0.367 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations10
Published2001
Admission routes1
Has abstractyes

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