Self‐management programmes for cirrhosis: A systematic review
Bibliographic record
Abstract
BACKGROUND AND AIMS: Liver cirrhosis severely decreases patients' quality of life. Since self-management programmes have improved quality of life and reduce hospital admissions in other chronic diseases, they have been suggested to decrease liver cirrhosis burden. METHODS: We performed a systematic review and meta-analysis to evaluate the clinical impact of self-management programmes in patients with liver cirrhosis, which followed the Preferred Reporting for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Primary outcomes include health-related quality of life (HRQOL) and hospitalisation. We searched MEDLINE, CENTRAL, Embase, CINAHL, PsycINFO and two trial registers to July 2017. RESULTS: We identified four randomised trials (299 patients) all rated at a high risk of bias. No difference was demonstrated for HRQOL (standardised mean difference -0.01, 95% CI: -0.48 to 0.46) and hospitalisation days (incidence rate ratio 1.6, 95% CI: 0.5-4.8). For secondary outcomes, one study found a statistically significant improvement in patient knowledge (mean difference (MD) 3.68, 95% CI: 2.11-5.25) while another study found an increase in model for end-stage liver disease scores (MD 2.8, 95% CI: 0.6-4.9) in the self-management group. No statistical difference was found for the other secondary outcomes (self-efficacy, psychological health outcomes, healthcare utilisation, mortality). Overall, the quality of the evidence was low. The content of self-management programmes varied across studies with little overlap. CONCLUSIONS: The current literature indicates that there is no evidence of a benefit of self-management programmes for people with cirrhosis. RELEVANCE TO CLINICAL PRACTICE: Practitioners should use self-management programmes with caution when delivering care to patients living with cirrhosis. Further research is required to determine what are the key features in a complex intervention like self-management. This review offers a preliminary framework for clinicians to develop a new self-management programme with key features of effective self-management interventions from established models.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| 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 | 0.001 |
| 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".