ArticleMedicine2026
Trajectory and predictive factors of cancer-related fatigue in hospitalized elderly patients with non-small cell lung cancer undergoing chemotherapy.
Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examines the demographic and clinical characteristics of elderly non-small cell lung cancer patients undergoing chemotherapy, focusing on levels of cancer-related fatigue (CRF), anxiety, depression, sleep, and social support. The goal is to explore the trajectory and predictive factors of CRF development to aid in patient coping. Conducted from October 2022 to October 2023 in a tertiary hospital in Weifang, the longitudinal study assessed CRF, anxiety, depression, sleep quality, and social support at 4 time points during chemotherapy. Repeated measures ANOVA, t-tests, one-way ANOVA, and Pearson correlation analysis were used to evaluate data. Mplus 8.3 software established a latent class growth model (LCGM) to track CRF trajectories, and multinomial logistic regression identified predictive factors for CRF classes. Cancer-related fatigue scores: mean CRF scores at T1, T2, T3, and T4 were 19.33, 28.40, 32.06, and 26.12, respectively. CRF peaked at T3 and then gradually declined, with significant differences in CRF, anxiety, depression, sleep quality, and social support across T1-T4 (P < .05). Significant factors affecting CRF included disease stage, treatment regimen, recurrence, anxiety and depression levels, sleep quality, and social support. Three CRF trajectory classes were identified with the best data fit: low-level slow increase (20 patients), high-level gradual relief (35 patients), and low-level rapid increase (53 patients). Predictors for the high-level gradual relief group included disease stage, anxiety score, and sleep quality score (P < .05). For the low-level rapid increase group, predictors were disease stage, anxiety score, sleep quality score, and social support (P < .05). CRF in elderly non-small cell lung cancer patients undergoing chemotherapy is influenced by disease characteristics, psychological status, sleep quality, and social support. Three distinct CRF trajectories were identified, with disease stage, anxiety, depression, and sleep quality serving as key predictive factors.
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.