Evidence map›Paper›PMID 36483978›Full record

ArticleParkinson's disease2022

Nomogram for Prediction of Postoperative Delirium after Deep Brain Stimulation of Subthalamic Nucleus in Parkinson's Disease under General Anesthesia.

Yu-Ting Ling, Qian-Qian Guo, Si-Min Wang, Li-Nan Zhang, Jin-Hua Chen, Yi Liu, Ruo-Heng Xuan, Bo Qu, Li-Ge Liu, Zhi-Shuang Wen and 8 more

Open access · goldAbstract read
In one paragraph

Article in Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Post-Operative Delirium in Elderly Patients: A Narrative Review.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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

18 authors at 1 institution in 1 country.

Yu-Ting LingDepartment of Anesthesiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Qian-Qian GuoDepartment of Anesthesiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Si-Min WangDepartment of Anesthesiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Li-Nan ZhangDepartment of Anesthesiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Jin-Hua ChenDepartment of Neurology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Yi LiuDepartment of Anesthesiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Ruo-Heng XuanDepartment of Neurosurgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Bo QuDepartment of Anesthesiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Li-Ge LiuDepartment of Anesthesiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Zhi-Shuang WenDepartment of Anesthesiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Jia-Kun XuDepartment of Neurosurgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Lu-Lu JiangDepartment of Neurology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Wen-Biao XianDepartment of Neurology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Bin WuDepartment of Neurosurgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.ORCID https://orcid.org/0000-0003-0742-380X
Chang-Ming ZhangDepartment of Neurosurgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Ling ChenDepartment of Neurology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Jin-Long LiuDepartment of Neurosurgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Nan JiangDepartment of Anesthesiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong, China.ORCID https://orcid.org/0000-0001-8970-6090
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Postoperative delirium can increase cognitive impairment and mortality in patients with Parkinson's disease. The purpose of this study was to develop and internally validate a clinical prediction model of delirium after deep brain stimulation of the subthalamic nucleus in Parkinson's disease under general anesthesia. Methods: We conducted a retrospective observational cohort study on the data of 240 patients with Parkinson's disease who underwent deep brain stimulation of the subthalamic nucleus under general anesthesia. Demographic characteristics, clinical evaluation, imaging data, laboratory data, and surgical anesthesia information were collected. Multivariate logistic regression was used to develop the prediction model for postoperative delirium. Results: A total of 159 patients were included in the cohort, of which 38 (23.90%) had postoperative delirium. Smoking (OR 4.51, 95% CI 1.56-13.02, Conclusion: This study provides evidence for the independent inducing factors of delirium after deep brain stimulation of the subthalamic nucleus in Parkinson's disease under general anesthesia. By predicting the development of delirium, our model may identify high-risk groups that can benefit from early or preventive intervention.

Identifiers

PMID36483978
PMCPMC9726266
OpenAlexW4310992408

What OpenQuestion holds

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Registered trials

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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.