Evidence map›Paper›PMID 40092067›Full record

ArticleFrontiers in neuroscience2025

The assessment of autonomic nervous function in patients with gastrointestinal malignancies and its relationship with clinical characteristics.

Zhang Xiwen, Feng Qiyun, Li Chuqiao, Jiang Anqi, Wu Zhenzhen, Deng Qiong, Peng Yu, Wang Chunlin

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Zhang Xiwen *Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Feng Qiyun *Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Li ChuqiaoDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jiang AnqiDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Wu ZhenzhenDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Deng QiongDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Peng YuDepartment of Neurology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Wang ChunlinDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The gastrointestinal tract is the organ most extensively distributed by autonomic nerves, and researches have indicated a relationship between automatic nerves and the progression of gastrointestinal cancers. This study aimed to evaluate the autonomic nervous function in patients with gastrointestinal cancer and to explore its relationship with clinical characteristics. Methods: We employed the Composite Autonomic Symptom Score 31 (COMPASS-31) questionnaire and cardiovascular autonomic reflex tests (CARTs) to evaluate autonomic nervous function, while also conducting a thorough analysis of clinical data. Results: Our results showed that low white blood cell (WBC) count (OR = 0.461, 95% CI: 0.218-0.976, Conclusion: Our findings reveal that these specific factors related to gastrointestinal cancers significantly influence autonomic nervous function. It is essential to evaluate autonomic nervous function and its associated risk factors in patients with gastrointestinal malignancies, which provide new insights into the intervention strategies for cancer diseases.

Indexed as

autonomic nervous functionCARTsclinical characteristicsCOMPASS-31gastrointestinal cancer

Identifiers

PMID40092067
PMCPMC11906409

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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.