Association between Multidisciplinary Care and Survival for Elderly Patients with Chronic Kidney Disease
Bibliographic record
Abstract
The effectiveness of multidisciplinary care (MDC) in improving health outcomes for patients with chronic kidney disease (CKD) is uncertain. This study sought to determine the association among MDC, survival, and risk for hospitalization among elderly outpatients with CKD. A total of 6978 patients who were 66 yr and older and had CKD were identified between July 1 and December 31, 2001, and followed to December 31, 2004; 187 (2.7%) were followed in an MDC clinic. Logistic regression was used to determine the propensity score (probability of MDC) for each patient, and MDC and non-MDC patients then were matched 1:1 on the basis of their score. A Cox model was used to determine the association between MDC and risk for death and hospitalization. After adjustment for age, gender, baseline GFR, diabetes, and comorbidity score, there was a 50% reduction in the risk for death for the MDC compared with the non-MDC group (hazard ratio [HR] 0.50; 95% confidence interval [CI] 0.35 to 0.71). There was no difference in the risk for all-cause (HR 0.83; 95% CI 0.64 to 1.06) or cardiovascular-specific hospitalization (HR 0.76; 95% CI 0.54 to 1.06) for the MDC compared with the non-MDC group. In conclusion, it was found that MDC was associated with a significant reduction in the risk for all-cause mortality and, although not statistically significant, a trend toward a reduction in risk for all-cause and cardiovascular-specific hospitalizations. The benefits of MDC and an assessment of their economic impact should be tested in a randomized, controlled trial.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".