Evidence map›Paper›PMID 33397315›Full record

ArticleBMC neurology2021

Social listening - revealing Parkinson's disease over day and night.

Hui Zhang, Fanwen Meng, Xingyu Li, Yali Ning, Meng Cai

Abstract read
In one paragraph

Article in BMC neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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.

Hui ZhangUCB Pharma, Room 02, Floor 28, Raffles Office Building, 268 Tibet Middle Road, Huangpu District, Shanghai, 200003, China.
Fanwen MengUCB Pharma, Room 02, Floor 28, Raffles Office Building, 268 Tibet Middle Road, Huangpu District, Shanghai, 200003, China.
Xingyu LiUCB Pharma, Room 02, Floor 28, Raffles Office Building, 268 Tibet Middle Road, Huangpu District, Shanghai, 200003, China.
Yali NingUCB Pharma, Room 02, Floor 28, Raffles Office Building, 268 Tibet Middle Road, Huangpu District, Shanghai, 200003, China.
Meng CaiUCB Pharma, Room 02, Floor 28, Raffles Office Building, 268 Tibet Middle Road, Huangpu District, Shanghai, 200003, China. Sabrina.Cai@ucb.com.ORCID http://orcid.org/0000-0001-7539-6925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNocturnal symptoms in Parkinson's disease are often treated after management of daytime manifestations. In order to better understand the unmet needs of nocturnal symptoms management, we analyzed the characteristics and burden of nocturnal symptoms from patients' perspectives and explored their changes over time. Overall symptoms (occurring at day or night) were collected to compare whether the unmet needs related to nocturnal symptoms and to overall symptoms are different.

methodsWe used a Social Listening big-data technique to analyze large amounts of Parkinson's disease symptoms in dialogues available from social media platforms in 2016 to 2018. These symptoms were classified as either overall symptoms or nocturnal symptoms. We used share of voice (SOV) of symptoms as a proportion of total dialogues per year to reflect the characteristics of symptoms. Negative sentiment score of symptoms was analyzed to find out their related burden.

resultsWe found the SOV for overall motor symptoms was 79% and had not increased between 2016 and 2018 (79%, p = 0.5). The SOV for non-motor symptoms was 69% and had grown by 7% in 2018 (p <  0.01). The SOV for motor complications was 9% and had increased by 6% in 2018 (p <  0.01). The SOV of motor symptoms was larger than non-motor symptoms and motor complications (p <  0.01). The SOV of non-motor symptoms was larger than motor complications (p <  0.01). For nocturnal symptoms, 45% of the analyzed PD population reported nocturnal symptoms in 2018, growing by 6% (p <  0.01). The SOV for nocturnal-occurring motor symptoms was higher than most non-motor symptoms. However, non-motor symptoms had the higher increases and evoked higher negative sentiment regardless of whether they occurred during the day or night. For symptoms that can occur at either day or night, each nocturnal symptom was rated with a higher negative sentiment score than the same symptom during the day.

conclusionsThe growing SOV and the greater negative sentiment of nocturnal symptoms suggest management of nocturnal symptoms is an unmet need of patients. A greater emphasis on detecting and treating nocturnal symptoms with 24-h care is encouraged.

Indexed as

AgedBig DataData MiningFemaleHumansMaleMiddle AgedParkinson DiseaseSleep Wake DisordersSocial MediaSymptom AssessmentTime Factors24-h symptom managementDopamine agonistNocturnal symptomsParkinson’s diseaseSocial listening

Identifiers

PMID33397315
PMCPMC7780378

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LicenceCC BY
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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.