Observational Study of Once-Daily Insulin Detemir in People with Type 2 Diabetes Aged 75 Years or Older
Bibliographic record
Abstract
OBJECTIVES: Older patients are particularly vulnerable to hypoglycaemia. The aim of this study was to evaluate the response to initiation of once-daily insulin detemir in patients aged ≥75 years with type 2 diabetes mellitus (T2DM) treated with one or more oral antidiabetic drugs (OADs). METHODS: A sub-analysis was conducted using data from SOLVE (Study of Once daily LeVEmir), a 24-week observational study involving 3,219 investigators and 2,817 project sites from ten countries. Routine clinical practice was followed; there were no study-prescribed procedures. The total cohort comprised 17,374 participants, of whom 2,398 (14 %) were aged ≥75 years. The physicians collected information from patient recall, the patients' medical records and their self-monitored blood glucose diaries (if kept). RESULTS: Pre-insulin glycated haemoglobin (HbA(1c)) was similar between participants aged ≥75 years and those aged <75 years (HbA(1c) 8.8 ± 1.5 % vs. 8.9 ± 1.6 % [mean ± SD], respectively). After 24 weeks of treatment, similar reductions in HbA(1c) were observed in the two subgroups: 7.6 ± 1.1 % and 7.5 ± 1.2 % in participants aged ≥75 years and those aged <75 years, respectively. The incidence of severe hypoglycaemia (episodes per patient-year) decreased during the study in both age groups (from 0.057 to 0.007 in patients aged ≥75 years; from 0.042 to 0.005 in patients aged <75 years), while minor hypoglycaemia increased from 1.1 to 2.0 and from 1.7 to 1.8 episodes per patient-year in the older and younger age groups, respectively. Average weight reduction was similar in both groups: -0.5 kg (≥75 years) and -0.6 kg (<75 years). CONCLUSION: In both the older and younger age groups, the addition of once-daily insulin detemir to existing OAD regimens was effective and safe. In older patients, an improvement in HbA(1c) of 1.2 % was not associated with an increased risk of severe hypoglycaemia or weight gain.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".