Evidence map›Paper›PMID 32175065›Full record

ArticleInternational journal of preventive medicine2020

Predictors and Level of Knowledge Regarding Parkinson's Disease among Patients: A Cross-sectional Study from Thailand.

Pramon Viwattanakulvanid, Ratana Somrongthong, Muskan Vankwani, F N Kavita, Ramesh Kumar

Open access · goldAbstract read
In one paragraph

Article in International journal of preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 97% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Pramon ViwattanakulvanidCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Ratana SomrongthongCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Muskan VankwaniSecond Year MBBS, Dow International Medical College Karachi, Pakistan.
F N KavitaCivil Hospital, Mirpurkhas, Sindh, Pakistan.
Ramesh KumarHealth Services Academy, Islamabad, Pakistan.
Chulalongkorn University · THDow University of Health Sciences · PKHealth Services Academy · PKMirpur University of Science and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is a neurodegenerative disorder that results in gradual decline of motor, autonomic, and neuropsychiatric functions of the patient. Knowledge and factors responsible for Parkinson's disease (PD) are important among patients that could positively affect their attitude and perceptions. This study was conducted to determine the factors influencing and level of the knowledge regarding Parkinson's disease in Thailand.

methodsThis cross-sectional study was conducted on 125 patients admitted in King Chulalongkorn Memorial Hospital Bangkok, Thailand. Sociodemographic variables and clinical characteristics were collected as predictors of knowledge, treatment, and self-care for PD. A validated, piloted, pretested tool was used for data collection. Multiple linear regressions were used to find the most influencing predictor of knowledge about PD. The study was approved by the Ethical Board of Chulalongkorn University, Thailand.

resultsThe level of education was found to be the most significant (

conclusionThe study results conclude that educational level is the most important predictor of knowledge about Parkinson's disease.

Indexed as

Awarenesscureeducationknowledge levelmisconception and determinants of Parkinsonmotor disease awarenessParkinson's disease

Identifiers

PMID32175065
PMCPMC7050216
OpenAlexW3012578387

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.