ArticleClinical transplantation2020
Evaluating resilience as a predictor of outcomes in lung transplant candidates.
Article in Clinical transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Beyond Gatekeeping: SIPAT as a Guide to Psychosocial Prehabilitation in a Single-Center Cohort of Lung Transplant Candidates.Journal of clinical medicine · 2026Article
- Psychological Resilience in Surgery: Psychobiological Pathways, Clinical Impact, and Perioperative Modulation-A Narrative Review.Journal of personalized medicine · 2026Review
- Barriers to Immunosuppressant Medication Adherence in Thoracic Transplant Recipients: Initial Findings.International journal of environmental research and public health · 2025Article
- Association of Grit and Resilience With Short-Term Post-Transplant Outcomes in Lung Allograft Recipients.Clinical transplantation · 2025Article
- Optimism, Resilience, and General Self-Efficacy Predict Lower Somatic Burden during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2024Article
- Psychological review of hemodialysis patients and kidney transplant recipients during the COVID-19 pandemic.World journal of clinical cases · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundResilience represents the capacity to adapt to adversity. Resilience can improve following behavioral interventions. We examined lung transplant candidates' resilience as a novel predictor using the Connor-Davidson Resilience Scale (RISC-10).
methodsWaitlisted candidates at six centers were mailed questionnaires from 9/16/2015 to 10/1/2019. Follow-up surveys were collected annually and post-transplant. Outcomes were recorded through February 17, 2020. Primary outcome was pre-transplant death/delisting. Analyses included t test or chi-square for group comparisons, Pearson's correlation coefficients for strength of relationships, and Cox proportional-hazard models to evaluate associations with outcomes, adjusting for age, sex, and mood.
resultsParticipation was 55.3% (N = 199). Baseline RISC-10 averaged 32.0 ± 5.6 and did not differ by demographics, primary transplant diagnosis, or disease severity markers. RISC-10 did not correlate to the commonly utilized Psychosocial Assessment of Candidates for Transplant [PACT] or Stanford Integrated Psychosocial Assessment for Transplantation [SIPAT] tools. Scores < 26.3 (representing > 1 standard deviation below population average) occurred in 16% and were associated with pre-transplant death or delisting, adjusted Hazard Ratio of 2.60 (95% Confidence Interval 1.23-5.77; P = .01).
conclusionOne in six lung candidates had low resilience, predicting increased pre-transplant death/delisting. RISC-10 did not correlate with PACT or SIPAT; resilience may represent a novel risk factor.
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.