ArticleClinical transplantation2021
Toward telemedicine-compatible physical functioning assessments in kidney transplant candidates.
Article in Clinical transplantation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Understanding frailty across the kidney transplant continuum: a comprehensive systematic review of recent evidence.International urology and nephrology · 2026Pooled it
- Article
- Use of frailty assessment instruments in nephrology populations: a scoping review.BMC geriatrics · 2023Article
- Leveraging Telemedicine for Quality Assessment.Clinical liver disease · 2022Review
- Telemedicine for Liver Transplant Evaluations: The Benefits and Risks.Clinical liver disease · 2022Review
- Feasibility of Virtual Assessment of Physical Frailty in Solid Organ Transplant Recipients: A Single Center, Observational Study.International journal of telerehabilitation · 2022Article
- Frailty in CKD and Transplantation.Kidney international reports · 2021Review
- Toward telemedicine-compatible physical functioning assessments in kidney transplant candidates.Clinical transplantation · 2021Article
- Telehealth Use by Living Kidney Donor Transplant Programs During the COVID-19 Pandemic and Beyond: a Practical Approach.Current transplantation reports · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Frailty is associated with adverse kidney transplant outcomes and can be assessed by subjective and objective metrics. There is increasing recognition of the value of metrics obtainable remotely. We compared the self-reported SF-36 physical functioning subscale score (SF-36 PF) with in-person physical performance tests (6-min walk and sit-to-stand) in a prospective cohort of kidney transplant candidates. We assessed each metric's ability to predict time to the composite outcome of waitlist removal or death, censoring at transplant. We built time-dependent receiver operating characteristic curves and calculated the area under the curve [AUC(t)] at 1 year, using bootstrapping for internal validation. In 199 patients followed for a median of 346 days, 41 reached the composite endpoint. Lower SF-36 PF scores were associated with higher risk of waitlist removal/death, with every 10-point decrease corresponding to a 16% increase in risk. All models showed an AUC(t) of 0.83-0.84 that did not contract substantially after internal validation. Among kidney transplant candidates, SF-36 PF, obtainable remotely, can help to stratify the risk of waitlist removal or death, and may be used as a screening tool for poor physical functioning in ongoing candidate evaluation, particularly where travel, increasing patient volume, or other restrictions challenge in-person assessment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.