Safety and effectiveness of long-acting versus intermediate-acting insulin for patients with type 1 diabetes: protocol for a systematic review and individual patient data network meta-analysis
Bibliographic record
Abstract
INTRODUCTION: The choice of a basal insulin regimen to manage type 1 diabetes mellitus (T1DM) may have different risks of adverse events and effectiveness, due to the difference in the effectiveness of these agents across patient characteristics (eg, baseline glycosylated haemoglobin; A1C). Currently, there is a lack of high quality evidence to support the tailoring of insulin regimens according to an individual's needs. The aim of this study is to update our previous systematic review and perform an individual patient data network meta-analysis (IPD-NMA) to evaluate the comparative safety and effectiveness of long-acting versus intermediate-acting insulin in different subgroups of patients with T1DM. METHODS AND ANALYSIS: We will update our previous literature search from January 2013 onwards searching relevant electronic databases (eg, MEDLINE), as well as perform grey literature search through relevant society/association websites, and conference abstracts, and scan reference lists of the eligible studies. We will include randomised clinical trials of any duration examining long-acting versus intermediate-acting insulin preparations for adult patients with T1DM. We will focus on A1C and severe hypoglycaemia outcomes. For each pairwise treatment comparison, we will combine all IPD from all studies in a single multilevel model, where each study is a different cluster. For a connected network of trials, we will perform an IPD-NMA to identify potential effect modifiers, and estimate the most effective and safe treatments for patients with different characteristics. If we are not successful in obtaining IPD for at least one study, we will include aggregated data (AD) abstracted from the included RCTs in our analysis, combining IPD and AD into a single model. We will report our results using the PRISMA-IPD statement. ETHICS AND DISSEMINATION: The results of this systematic review and IPD-NMA will be of interest to stakeholders and will help in improving existing guideline recommendations. PROSPERO REGISTRY NUMBER: CRD42015023511.
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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 | 0.062 | 0.100 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.022 | 0.037 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.049 | 0.005 |
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.
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".