Evidence map›Paper›PMID 41487374›Full record

ArticleJournal of pain research2025

Network Analysis of Contemporaneous Symptoms and Identification of Core Symptoms in Patients with Lumbar Disc Herniation.

Hongping Lu, Haoke Shi, Yao Chen, Chun Zhang, Xi Chen, Xiaohong Zhang, Xinhong Yin

Abstract read
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Article in Journal of pain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hongping Lu *School of Nursing, University of South China, Hengyang, Hunan, People's Republic of China.
Haoke Shi *School of Nursing, University of South China, Hengyang, Hunan, People's Republic of China.
Yao ChenSchool of Nursing, University of South China, Hengyang, Hunan, People's Republic of China.
Chun ZhangDepartment of Orthopaedics, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei, People's Republic of China.
Xi ChenDepartment of Orthopaedics, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei, People's Republic of China.
Xiaohong ZhangDepartment of Nursing, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei, People's Republic of China.
Xinhong YinSchool of Nursing, University of South China, Hengyang, Hunan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To construct a contemporaneous symptom co-occurrence network of patients with lumbar disc herniation (LDH) to extract symptom clusters and identify core and bridge symptoms using network analysis. Methods: A questionnaire was administered to 312 LDH patients hospitalized in a tertiary-level hospital in Hubei Province from September 21, 2024, to March 31, 2025, using convenience sampling. Instruments included a general information questionnaire, the Japanese Orthopaedic Association's Low Back Pain Assessment Scale (JOA), the Visual Analogue Scale (VAS), and the Self-Rating Anxiety Scale (SAS). Symptomatic data were collected and downscaled using exploratory factor analysis to reduce dimensionality and extract symptom clusters with intrinsic associations. The symptom network was constructed using R, relationships between symptoms were analyzed, and centrality indices were calculated to identify key symptom nodes. Results: Exploratory factor analysis extracted four symptom clusters. They were the symptom cluster of limited lumbar mobility function, the symptom cluster of limited lower extremity mobility function, the symptom cluster of abnormal distal limb sensation, and the symptom cluster of lower extremity motor coordination disorder. The top three symptoms for node strength were Difficulty standing (rs = 5.72), Difficulty walking (rs = 5.43), and Difficulty turning over (rs = 5.35); the top three for bridge strength were Difficulty standing (rs = 4.58), walking ability (rs = 4.49), and Difficulty walking (rs = 4.37). Conclusion: Difficulty standing, Difficulty walking, and Difficulty turning are the most central symptoms in LDH patients, while Difficulty standing, walking ability, and Difficulty walking are bridge symptoms.

Indexed as

contemporaneous networkcore symptomsintervertebral disc degenerationlow back painlumbar disc herniationnetwork analysisnursing

Identifiers

PMID41487374
PMCPMC12764244

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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.