Observational studyAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2025
Resilience in advanced cancer patients who obtain a long-term response to immunotherapy or targeted therapy: an Ecological Momentary Assessment study.
Observational study in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Compliance With Ecological Momentary Assessment Among Patients With Cancer: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Patient-Reported Quality of Life Predicts First-Cycle Pharmacotherapy Survival in Breast Cancer: A Prospective Cohort Study.Medical sciences (Basel, Switzerland) · 2026Article
- Association between psychological resilience and global health status/quality of life in patients with brain metastases after resection of primary non-small cell lung cancer.Frontiers in psychiatry · 2026Article
- The Co-Creation of a Psychosocial Support Website for Advanced Cancer Patients Obtaining a Long-Term Response to Immunotherapy or Targeted Therapy.Current oncology (Toronto, Ont.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundApproximately half of advanced cancer patients with a long-term response to immuno- or targeted therapy (IT/TT) (ie, long-term responders (LTRs)) experience heightened distress due to persistent uncertainty. PURPOSE: We aimed to study to what extent supportive factors (ie, illness acceptance, tolerance of uncertainty, mindfulness, social support, optimism, emotion regulation variability, and positive affect in general and prior to a stressor) predict micro-level resilience in response to unpleasant daily life events.
methodsWe conducted an observational cohort study with a baseline assessment of supportive factors, followed by Ecological Momentary Assessment with 8 assessments a day for 14 consecutive days. Resilience was operationalized as maintenance of low negative affect (NA) or a smaller increase in NA to an unpleasant event, as this suggests that partial recovery has already taken place. We used Dynamic Structural Equation Models to study supportive factors of resilience.
resultsWe included data from 61 patients with advanced melanoma or lung cancer with confirmed response to or long-term stable disease while on IT/TT. More unpleasant daily life events were associated with increases in NA. The multivariate model did not identify any supportive factors. Exploratory analysis using separate models tentatively indicated that LTRs with higher levels of illness acceptance, mindfulness, optimism, and general positive affect showed a smaller increase in NA in response to an unpleasant event (ie, more resilient response).
conclusionsPreliminary findings suggest that illness acceptance, mindfulness, optimism, and general positive affect are supportive factors of resilience in LTRs. Future research should include these factors at momentary level to enhance insight into the resilience process.
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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.