ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025
Trajectories of fatigue-pain-sleep disturbance symptom cluster in patients with lung cancer undergoing chemotherapy and its predictive factors: Latent class growth model.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. 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.
- Identifying the trajectory of SPPADE symptoms in patients with cancer using electronic health record data.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Joint association of physical function and sleep duration with incident depressive symptoms among middle-aged and older Chinese.BMC public health · 2026Observational
- Symptom Network Evolution and Longitudinal Interrelationships in Early-Stage Lung Cancer Patients Postoperatively.International journal of general medicine · 2026Article
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
purposeThis study is to investigate the longitudinal trajectories and predictors of the fatigue-pain-sleep disturbance symptom cluster in patients with lung cancer during chemotherapy.
methodsConvenience sampling was used to select 230 patients. Fatigue-pain-sleep disturbance symptom cluster assessments were conducted before the first chemotherapy cycle and on the last day of the first, third, and sixth chemotherapy cycles. Psychological resilience, social support, and clinical blood indices were collected pre-first chemotherapy cycle. The latent class growth model was used to analyze the trajectory of symptom cluster, and multivariate logistic regression analysis was conducted to identify predictors of distinct trajectories.
resultsThe results showed that the fatigue-pain-sleep disturbance symptom cluster included three trajectories: high symptom burden increased group, moderate symptom burden persistent group, and low symptom burden persistent group. The higher the nutritional risk, interleukin-1β (IL-1β), and the lower the self-care ability, social support, albumin-to-globulin ratio (AGR), and lymphocyte-to-monocyte ratio (LMR) were the predictors of the high symptom burden increased group. The higher the IL-1β and the lower the AGR were the predictors of the moderate symptom burden persistent group.
conclusionThe trajectory of the fatigue-pain-sleep disturbance symptom cluster in patients with lung cancer undergoing chemotherapy showed heterogeneity. Regular symptom assessments are essential, and timely, targeted interventions should be implemented for patients with identified risk factors to mitigate the burden of moderate to high level symptoms experienced during chemotherapy cycles.
Indexed as
Identifiers
41326805What Socratic 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 Socratic graph.