Physical Frailty and Functional Status in Kidney Transplantation: A Systematic Review
Bibliographic record
Abstract
Background: Frailty and functional decline are being recognized as important conditions in kidney transplant candidates. However, the ideal measures of functional status and frailty remain unknown as there is not a complete understanding of the relationship between these conditions and important post-transplant outcomes. Objective: The objective was to examine the association between different measures of frailty and functional status evaluated before or at the time of transplant with adverse clinical outcomes post-transplantation. Design: This study is a systematic review. Setting: Observational studies including cohort, case-control, or cross-sectional studies examining the effect of frailty and functional status on clinical outcomes. There were no restrictions on type of setting or country of origin. Patients: Adults who were waitlisted for kidney transplant or had received a kidney transplant. Measurements: Data including demographic information (eg, sample size, age, country), assessments of frailty or functional status and their domains, and outcomes including mortality, transplantation, graft loss, delayed graft function and hospital readmission were extracted. Methods: A search was performed in Medline, Embase, and Cochrane Central Register for Controlled Trials. Studies were included from inception to February 7, 2023. The eligibility of studies was screened by 2 independent reviewers. Data were presented by frailty/functional status instrument and clinical outcome. Point estimates and 95% confidence intervals from fully adjusted statistical models were reported or calculated from the raw data. Results: A total of 50 studies were identified, among which 36 unique instruments were found. Measurements of these instruments occurred mostly at time of kidney transplant, transplant evaluation, and waitlisting. The median sample size of studies was 457 patients (interquartile range = 183-1760). Frailty and lower functional status were associated with an increased risk for mortality. Similar trends were observed among other clinical outcomes such as graft loss and rehospitalization. Limitations: The heterogeneity in measurement instruments, study designs, and outcome definitions prevents pooling of the data. Selection bias and the validity of data collection could not be ascertained for some studies. Conclusion: Frailty and functional status measures are important predictors of post-kidney transplant outcomes. Further studies are needed to evaluate the best instruments to assess frailty and functional status, and importantly, interventional studies are needed to determine whether prehabilitation strategies can improve post-transplant outcomes. Registration PROSPERO: CRD42016045251.
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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 | 0.006 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".