Effectiveness of Multifaceted Care Approach on Adverse Clinical Outcomes in Nondiabetic CKD: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
INTRODUCTION: The risk of major adverse events associated with chronic kidney disease (CKD) could potentially be reduced with effective medical interventions. The impact of multifaceted interventions as compared with usual care in patients with nondiabetic CKD is unclear. We performed a systematic review to analyze the impact of multifaceted interventions on reducing the risk of major adverse events in this population. METHODS: Systematic review and meta-analysis. We searched MEDLINE, EMBASE, CINAHL and the Cochrane Library databases for medical literature published up to November 2016. Published original studies and abstracts were reviewed that reported on adult patients in a community or specialty care setting, with 2 or more CKD risk factors, treated with a combination of more than 2 interventions. We included randomized controlled trials, observational studies, and systematic reviews. Studies focused on diabetic patients were excluded. The intervention was defined as a treatment with a combination of 2 or more interventions compared with the usual care. The outcomes were defined as a reduction in the risk of adverse clinical outcomes (renal replacement therapy, all-cause hospitalizations, all-cause and cardiovascular mortality, cardiovascular events) as primary outcomes. Secondary outcomes were optimal risk factor control (attaining guideline concordant blood pressure, reduction of proteinuria, smoking cessation). RESULTS: Five of the 5846 unique citations from our initial literature search met our study criteria. All identified studies reported on patients with CKD and their management. In comparison with usual care, multifaceted interventions tended to reduce all-cause mortality (risk ratio: 0.81, 95% confidence interval: 0.63-1.03) and were associated with a lower risk of progression to kidney failure requiring dialysis (risk ratio: 0.57, 95% confidence interval: 0.35-0.94). Multifaceted interventions were not associated with reducing risk of all-cause hospitalizations (risk ratio: 0.93, 95% confidence interval: 0.71-1.23) or improved blood pressure control (mean difference: -0.48, range: -2.5 to 1.55 mm Hg). DISCUSSION: Multifaceted interventions targeting multiple risk factors tended to reduce the risk of all-cause mortality and reduced the risk to progress to end-stage kidney failure in patients with CKD. There is a need for high-quality studies that can rigorously evaluate a set of interventions targeting multiple domains of CKD management in the population with nondiabetic CKD due to paucity of data in the current published literature.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.013 | 0.006 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".