Observational studyCancer medicine2026
Longitudinal Associations Between Inflammatory Biomarkers and Fatigue in Patients With Colorectal Cancer: A Multicenter Study.
Observational study in Cancer 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
31 authors.
Funding
Abstract
purposeFatigue affects up to 90% of patients with cancer during chemotherapy and persists in approximately 30% after treatment completion. This study examined the longitudinal associations between fatigue and 16 inflammatory markers in patients with colorectal cancer (CRC) up to 3 years after surgery.
methodsPatients with Stage I-IV CRC who participated in the prospective ColoCare cohort study were included. Fatigue was measured using the 3-item fatigue subscale of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-QLQ-C30) at baseline and each subsequent time point (score range: 0-100). Inflammatory markers were measured using blood specimens from each time point (T0: baseline/surgery; T1: 3-9 months; T2: 10-19 months; T3: 20-36 months post-baseline). Linear mixed-effects models were used to examine associations between inflammatory markers and fatigue scores over time. Linear regression was used to analyze the relationships between T0/T1 markers and fatigue at T3.
resultsThere were 271 patients with Stage I-III CRC and 30 patients with Stage IV CRC. Among patients with Stage I-III CRC, mean fatigue peaked at T1 (36.9), with higher fatigue among women than men (44.8 vs. 30.9). In longitudinal mixed-effects models, twofold higher mean levels of IL-6 and IL-17A were associated with higher fatigue over time (3.51 (p = 0.01) and 3.91 (p = 0.01), respectively). IL-4, IL-17A, and TNF-α at T1 were nominally associated with higher levels of fatigue at T3.
conclusionHigher levels of selected inflammatory biomarkers were associated with fatigue up to 3 years after CRC diagnosis. These markers may help identify patients at risk for persistent fatigue and warrant further study as potential therapeutic targets.
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.