Evidence map›Paper›PMID 39845359›Full record

ArticleFrontiers in psychiatry2024

Network analysis of the symptoms of posttraumatic stress disorder in patients undergoing chemotherapy for colorectal cancer.

Yi Zhou, Wen Teng, Liang Luo, Ping Zhou, Guidi Fan, Haiying Liu

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Article
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  7. Core symptoms in patients with colorectal cancer receiving chemotherapy: a network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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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.

Yi ZhouWuxi School of Medicine, Jiangnan University, Wuxi, China.
Wen TengWuxi School of Medicine, Jiangnan University, Wuxi, China.
Liang LuoDepartment of Intensive Care Unit, Wuxi No.2 People's Hospital (Jiangnan University Medical Center), Wuxi, China.
Ping ZhouDepartment of General Surgery, Wuxi No.2 People's Hospital (Jiangnan University Medical Center), Wuxi, China.
Guidi FanDepartment of General Surgery, Wuxi No.2 People's Hospital (Jiangnan University Medical Center), Wuxi, China.
Haiying LiuDepartment of Infection Management, Wuxi No.2 People's Hospital (Jiangnan University Medical Center), Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In this study, we examine the network structure of posttraumatic stress disorder (PTSD), including core symptoms and strong edges in patients undergoing chemotherapy for colorectal cancer in China, and lay the groundwork for targeted psychological interventions for these patients. Methods: This study included 360 colorectal cancer patients receiving chemotherapy at a third-class hospital in Wuxi, China, from November 2023 to June 2024. The severity of each item of PTSD was assessed using the DSM-5 Checklist (PCL-5). A network analysis approach was conducted in R to pinpoint core symptoms and investigate notable edge connections within the network. Results: The accuracy and stability of the PTSD network structure model were relatively good, and the results indicated that robust connections emerged between avoidance of thoughts and avoidance of reminders, hypervigilance and exaggerated startle response, and loss of interest and detachment. The most central node was emotional cue reactivity, which was more closely connected with other symptoms, while self-destructive/reckless behavior was the lowest central node. Conclusion: Emotional cue reactivity was proved to be the most prominent symptom in the PTSD symptom network in colorectal cancer patients treated with chemotherapy, and targeting it in interventions could lead to substantial improvements.

Indexed as

chemotherapycolorectal cancernetwork analysisPTSDsymptom structure

Identifiers

PMID39845359
PMCPMC11751044

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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.