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Persistent lipid abnormalities in diabetes; are we approaching the treatment optimally?

2011· letter· en· W1994083200 on OpenAlexaboutno aff
G. A. Hitman

Bibliographic record

VenueDiabetic Medicine · 2011
Typeletter
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEzetimibeStatinDiabetes mellitusSimvastatinCholesterolType 2 diabetesInternal medicineDiseaseIntensive care medicineEndocrinology

Abstract

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There is overwhelming evidence that reducing LDL cholesterol with the use of statins leads to reductions in cardiovascular disease in diabetes. This has resulted in international and country-specific guidelines of the treatment of dyslipidaemia in diabetes, with recommendations of target LDL cholesterol to be achieved. Consequently, in many countries the majority of people with Type 2 diabetes are now being treated with a statin. Nonetheless, there is a growing body of evidence that, in clinical practice, target LDL cholesterol levels are not achieved and therapy is not targeted at the dyslipidaemia associated with diabetes, namely low HDL cholesterol and high triglycerides. In this edition of Diabetic Medicine, Leiter and colleagues on behalf of the Dyslipidaemia International Study (DYSIS) investigators (page 1349) have performed a cross-sectional study of 22 063 statin-treated outpatients consecutively recruited by clinicians in Canada and 11 European countries. Forty-one per cent of outpatients had diabetes and, in those patients, only 48% were at cholesterol target and many had persistent lipid abnormalities. Simvastatin was the most common statin, being prescribed at a dose of 20–40 mg per day; 14% patients were taking ezetimibe alone or in combination with a statin. The possible barriers to effective lipid interventions are manyfold and need tackling at all levels. In some parts of the world this is related to finance and limits set by insurance companies or health providers. Whilst it is reasonable to always prescribe the cheapest statin in the majority of people with diabetes in the first instance, if the targets are not achieved or there is evidence of dyslipidaemia it is important to consider the use of a more potent or appropriate statin. Physician attitudes are another important contributor to the problem and aggressive marketing of some of the non-statin lipid-lowering drugs can influence prescribing patterns. It is likely that the other most important contributor to less effective lipid lowering is at the level of the person with diabetes themselves. We place many demands on the person with diabetes, who has to take many medications, several of which have side effects. It is well documented that even in the setting of clinical trials not all patients take their tablets; indeed, in the Collaborative Atorvastatin Diabetes Study (CARDS) trial, on average 20% of patients on statin were not taking their medication over the course of the 4-year study. In clinical practice, it seems likely that the most common reason not to achieve target cholesterol is therefore going to relate to the underuse of medication by people with diabetes. It is therefore of the highest importance that the person with diabetes has the locus of control compared with health professional-focused approaches. It seems highly likely that in addition to LDL cholesterol we should be considering optimizing HDL cholesterol and triglycerides. Currently, the evidence base for second-line therapy to treat diabetic dyslipdaemia is not strong, but nonetheless suggests that further benefits may be achieved using either fibrate- and nicotinic acid-containing medications. Despite their relatively high uptake, the current evidence for the use of ezetimibe to reduce cardiovascular disease in diabetes remains comparatively weak. We therefore eagerly await the results of several ongoing trials addressing these issues, including AIM-HIGH, HPS2-THRIVE, dal-OUTCOME, IMPROVE-IT and others. In the meanwhile, it is important that the majority of people with diabetes have the opportunity to be treated with the best statin and at the most appropriate dose to prevent cardiovascular disease, whilst at the same time attention is paid to all other reversible cardiovascular risk factors.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.249
Teacher spread0.205 · 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.

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

Citations1
Published2011
Admission routes1
Has abstractyes

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