Evidence map›Paper›PMID 41688770›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Dynamic Network Analysis of Symptom Profiles and Their Expected Impact on Patients with Colorectal Cancer Receiving Postoperative Adjuvant Chemotherapy.

Langjuan Li, Wangjie Xia, Daoxia Guo, Mengyun Peng, Zhongfang Yang, Li Tian

Abstract read
PubMed Publisher
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Langjuan Li *First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Wangjie Xia *First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Daoxia GuoInstitute for Excellence in Clinical Medicine of Kunshan First People's Hospital and Soochow University, No. 199 Renai Road, Suzhou, 215006, China.
Mengyun PengInstitute for Excellence in Clinical Medicine of Kunshan First People's Hospital and Soochow University, No. 199 Renai Road, Suzhou, 215006, China.
Zhongfang YangInstitute for Excellence in Clinical Medicine of Kunshan First People's Hospital and Soochow University, No. 199 Renai Road, Suzhou, 215006, China. zfyang@suda.edu.cn.
Li TianFirst Affiliated Hospital of Soochow University, Suzhou, 215006, China. tianlisz@suda.edu.cn.

Funding

Major Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province 2023SJZD144
6 · The paper itself

Abstract

backgroundChemotherapy causes patients to experience a series of side effects. Dynamic network analysis plays a significant role in elucidating the synergistic effects among symptoms. This study attempts to analyze the dynamic correlation among symptoms during the early, middle and late stages of chemotherapy, and to clarify their expected influence on colorectal cancer (CRC) patients.

methodsA longitudinal study was conducted from December 2022 to December 2024. General information was collected before chemotherapy, and symptoms were assessed using the Chinese version of the Memorial Symptom Assessment Scale (MSAS-C) at the early stage (T1), the middle stage (T2), and the end of chemotherapy (T3). Cross-Lagged Panel Network (CLPN) analysis was applied to construct dynamic symptom networks. Out-expected influence (out-EI) and in-expected influence (in-EI) were used to identify highly predictive and predicted symptoms in dynamic networks. Linear regression was used to verify the effect of symptoms with high out-EI on symptom burden at the late stage.

resultsA total of 380 patients were included in the analysis. From the early to middle stage of chemotherapy (T1 → T2), change in food tastes was the core predictor (out-EI was 0.846). From the middle to late stage of chemotherapy (T2 → T3), feeling drowsy was the core predictor (out-EI was 0.713). Numbness or tingling in hands and feet exhibited the highest in-EI (in-EI was 0.436 in T1 → T2, 0.522 in T2 → T3). After adjusting for confounding variables, symptoms with the highest out-EI had a significant influence on symptom burden at the late stage (P < 0.001).

conclusionMedical staff are encouraged to focus on taste change in the early stage of chemotherapy, and strengthen the evaluation of feeling drowsy in the middle stage. For those who feel numbness or tingling in hands and feet, it is necessary to analyze other symptoms that may contribute to their occurrence.

Indexed as

Antineoplastic AgentsColorectal NeoplasmsAdultAgedChemotherapy, AdjuvantFemaleHumansLongitudinal StudiesMaleMiddle AgedNeoplasm StagingSymptom BurdenAntineoplastic AgentsChemotherapyColorectal CancerDynamic networkExpected influenceSymptom

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.