A Pilot Study to Evaluate a New Hep-GRP Care Pathway to Improve Outcomes Among Canadian Older Adults with Liver Cirrhosis
Bibliographic record
Abstract
Background Older adults with cirrhosis have complex medical needs that are not satisfied by organ specific management. Interdisciplinary approach may mitigate comorbidity and improve patient satisfaction. Methods A pilot study consisted of dual specialist interdisciplinary referral pathway and mixed virtual care delivery model are prospectively evaluated in older adults (65 years and older) with cirrhosis during the COVID-19 pandemic between September and December 2022. Participant attitudes towards telemedicine were surveyed. Results 68 participants with cirrhosis were consecutively assessed by hepatology. The mean age was 73 years. 39 (57%) screened positive for one or more geriatric syndrome(s). Comprehensive geriatric assessments were conducted via telemedicine in 18 participants, with additional referrals to physiotherapy and nutritional education. Compared to a historic cohort matched for age, sex, and Child-Pugh class, acute health service utilization measured by ER visits among those received dual specialist interdisciplinary consultation were lowered by 1.11 per patient at three-month follow up period (p = .0006, 95% CI 0.47–1.74). Majority participants (87.6%) preferred telemedicine or mixed method visits. Conclusion An interdisciplinary approach to older adults with cirrhosis will likely be beneficial, and routine screening for geriatric syndrome may lead to reduced acute health-care utilization in the short term. Telemedicine and virtual screening tools in seniors should be fully explored to improve access to care.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".