Evidence map›Paper›PMID 39712461›Full record

ArticleJournal of pain research2024

Risk Factors and Diagnostic Model Construction of Chronic Pain with Cognitive Impairment.

Changteng Zhang, Ying Su, Xianzheng Zeng, Xiaoyu Zhu, Rui Gao, Wangyang Liu, Runzi Du, Chan Chen, Jin Liu

Abstract read
In one paragraph

Article in Journal of pain research, 2024. 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

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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

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

9 authors.

Changteng Zhang *Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Ying Su *Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Xianzheng ZengDepartment of Pain Management, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Xiaoyu ZhuDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Rui GaoDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Wangyang LiuDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Runzi DuDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Chan ChenDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0001-5823-8247
Jin LiuDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive impairment (CI) is frequently observed in patients with chronic pain (CP). CP progression increases the risk of dementia and accelerates Alzheimer's disease pathogenesis. However, risk diagnostic models and biomarkers for CP-related CI remain insufficient. Previous research has highlighted the relationships between several complete blood count parameters for CP or CI-related diseases, such as Alzheimer's disease, while the specific values of complete blood count parameters in CP-related CI patients remain unclear. This study aimed to explore the correlation between complete blood count parameters and CP-related CI to establish a risk diagnostic model for the early detection of CP-related CI. Methods: This cross-sectional study was conducted at West China Hospital, Sichuan University. The Montreal Cognitive Assessment (MoCA) was used to classify patients into either the CP with CI group or the CP without CI group. Univariate analysis and multivariate logistic regression analysis were used to screen the related factors of CP-related CI for constructing a risk diagnostic model, and the model was evaluated using receiver operating characteristic (ROC) curve analysis. Results: The study ultimately included 163 eligible patients. Based on analysis, age (OR, 1.037 [95% CI, 1.007-1.070]; Conclusion: The risk diagnostic model developed in this study for CP-related CI has significant value and enables clinicians to customize interventions based on each patient's needs.

Indexed as

chronic paincognitive impairmentcomplete blood count parametersdiagnostic modelrisk factors

Identifiers

PMID39712461
PMCPMC11662672

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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.