ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025
Symptom network in patients with colorectal cancer during the perioperative period.
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. 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
5 authors.
Funding
Abstract
purposeThis study employed cross-lagged panel network (CLPN) analysis to construct a symptom network for colorectal cancer patients at four time points during the perioperative period, aiming to identify predictive relationships and intervention opportunities.
methodsA total of 315 patients who underwent colorectal cancer surgery were enrolled in this study. They were assessed at four time points: preoperatively at admission (T0), and postoperatively on day 1 (T1), day 3 (T2), and on the day of discharge (T3). Symptom severity was evaluated using the MD Anderson Symptom Scale and the colorectal cancer module. Cross-sectional networks were analyzed using Gaussian graphical models (GGM), while CLPN models with LASSO regularization examined directed temporal relationships between symptoms, adjusting for covariates.
resultsThe analysis revealed dynamic changes in core symptoms: vomiting (T0-EI = 1.090), distress (T1/T2-EI > 1.021), and altered bowel habits (T3-EI = 0.461). Overall network strength significantly decreased from T2 to T3 (p < 0.001). In the T0-T1 band, sadness at admission (OEI = 0.684) predicted vomiting (edge weight = 0.297), low mood (0.183), and dry mouth (0.088) on postoperative day 1; in the T1-T2 band, low mood at T1 (OEI = 0.651) predicted altered stool characteristics (0.502) and constipation (0.370) at T2. Vomiting and altered stool characteristics showed incoming predictability of 0.41 and 0.45, respectively.
conclusionPreoperative emotional symptoms play a key predictive role in subsequent gastrointestinal symptoms. By intervening in psychological stress and intestinal dysfunction before and immediately after surgery, it may be possible to interrupt the symptom transmission pathway. Symptom network analysis provides actionable targets for precision intervention.
Indexed as
Identifiers
41413270What 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.