ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2021
Prevalence, risk factors, and clinical correlations of underweight in Chinese newly diagnosed and drug-naïve patients with Parkinson's disease.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Prevalence of Malnutrition in Patients with Parkinson's Disease: A Systematic Review.Nutrients · 2022Pooled it
- Investigating the impact of body weight changes and blood lipids on risk for mild cognitive impairment in Parkinson's disease: a prospective cohort study.The American journal of clinical nutrition · 2025Article
- Article
- The psychometric properties of the Chinese version of the Parkinson Anxiety Scale (C-PAS) among Parkinson's disease.BMC neurology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveStudies have shown that patients with Parkinson's disease (PD) will experience weight loss during the progression of the illness, which suggests an increased rate of underweight. However, few studies have addressed underweight in early de novo population. This study aimed to examine the prevalence, risk factors, and clinical correlations of underweight in Chinese newly diagnosed and drug-naïve patients with PD.
methodsA total of 245 inpatients with newly diagnosed PD and 213 age-, sex-, and education-matched healthy controls were enrolled in Ningbo. BMI, demographics, supine and upright blood pressure, Montreal Cognitive Assessment (MoCA), Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD) together with fasting blood glucose, low-density lipoprotein, total cholesterol, uric acid (UA), and homocysteine were collected in all subjects. Hoehn and Yahr (HY) rating and Unified Parkinson's Disease Rating Scale (UPDRS) motor scores were also measured in patients.
resultsOverall, 35 (14.3%) patients were underweight and 14 (6.6%) controls were underweight. Binary regression analyses showed that low MoCA (p = 0.035), ΔSBP and ΔDBP values (both p < 0.001) were risk factors for underweight. Furthermore, correlation analysis indicated that BMI was associated with HY grade, UPDRS motor, HAMA, HAMD, MoCA, ΔSBP, ΔDBP, and UA values, stepwise multiple regression revealed significant correlations between BMI and ΔSBP (p < 0.001), ΔDBP (p = 0.001), MoCA (p = 0.002), UPDRS motor (p = 0.005), and HAMD scores (p = 0.014).
conclusionsOur study showed that the prevalence of underweight was significantly higher in Chinese newly diagnosed and drug-naïve patients with PD than in the healthy population, and several clinical variables were risk factors for underweight.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.