ArticleClinical transplantation2022
Predictive value of chart-based frailty evaluation for lung transplant candidates.
Article in Clinical transplantation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 10 citations in OpenAlex.
- Comparison of Multiple Frailty Scoring Metrics in Renal Transplant Candidates: A Large Single-center Cohort Study.Transplantation direct · 2026Article
- T cell immune senescence is associated with frailty and sarcopenia in lung transplant candidates.JHLT open · 2025Article
- Association of the psoas muscle index with the survival of patients on a waiting list for lung transplantation: a Japanese single-institution study.Surgery today · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Frailty, defined as a state of decreased physiologic reserve, has been correlated with poorer outcomes after hospitalization or surgery. Studies in lung transplant patients have associated frailty with an increased risk of post-transplant mortality; however, a unified approach is lacking. The identification of frail patients can help clinicians pre-emptively target modifiable risk factors and may facilitate risk stratification. The Frailty Risk Score (FRS) is a chart review-based approach based on eight symptoms and four laboratory biomarkers. We applied this method in a retrospective study to investigate its utility in predicting post-transplant lung outcomes. Eighty-four lung transplant recipients were evaluated, including 51 older (≥ 60) and 33 younger (< 60) patients. Median FRS score was 3.9, with 63 categorized as frail (75%) and 21 as non-frail (25%), using a previously published cut-off of ≥3 to define frailty. A high FRS was associated with readmission in the first year after transplantation and with the number of readmissions. There was also an association between FRS score and death (p = .047). FRS may be a viable tool in the assessment of lung transplant candidates. Frail patients may benefit from earlier referral and targeted therapy prior to transplant, as well as close post-transplant follow-up.
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.