Evidence map›Paper›PMID 35054279›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Parkinson's Disease Subtyping Using Clinical Features and Biomarkers: Literature Review and Preliminary Study of Subtype Clustering.

Seung Hyun Lee, Sang-Min Park, Sang Seok Yeo, Ojin Kwon, Mi-Kyung Lee, Horyong Yoo, Eun Kyoung Ahn, Jae Young Jang, Jung-Hee Jang

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

9 authors.

Seung Hyun LeeGlobal Health Technology Research Center, College of Health Science, Korea University, Seoul 02841, Korea.ORCID 0000-0002-1109-6787
Sang-Min ParkKM Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Korea.ORCID 0000-0003-2915-0742
Sang Seok YeoDepartment of Physical Therapy, College of Health Sciences, Dankook University, Cheonan 31116, Korea.
Ojin KwonKM Science Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Korea.ORCID 0000-0002-7349-4596
Mi-Kyung LeeBiological Resource Center (BRC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup-si 56212, Korea.
Horyong YooClinical Trial Center, Daejeon Korean Medicine Hospital, Daejeon 35235, Korea.
Eun Kyoung AhnKM Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Korea.ORCID 0000-0003-1784-793X
Jae Young JangSchool of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education (KOREATECH), Cheonan 31253, Korea.
Jung-Hee JangKM Science Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Korea.ORCID 0000-0001-8242-4744

Funding

Korea University of Technology and Education the new professor research programNational Research Council of Science and Technology CCL-20-16-KBSINational Research Foundation of Korea NRF-2019R1C1C1011408National Research Foundation of Korea NRF-2021R1I1A2048890
6 · The paper itself

Abstract

The second most common progressive neurodegenerative disorder, Parkinson's disease (PD), is characterized by a broad spectrum of symptoms that are associated with its progression. Several studies have attempted to classify PD according to its clinical manifestations and establish objective biomarkers for early diagnosis and for predicting the prognosis of the disease. Recent comprehensive research on the classification of PD using clinical phenotypes has included factors such as dominance, severity, and prognosis of motor and non-motor symptoms and biomarkers. Additionally, neuroimaging studies have attempted to reveal the pathological substrate for motor symptoms. Genetic and transcriptomic studies have contributed to our understanding of the underlying molecular pathogenic mechanisms and provided a basis for classifying PD. Moreover, an understanding of the heterogeneity of clinical manifestations in PD is required for a personalized medicine approach. Herein, we discuss the possible subtypes of PD based on clinical features, neuroimaging, and biomarkers for developing personalized medicine for PD. In addition, we conduct a preliminary clustering using gait features for subtyping PD. We believe that subtyping may facilitate the development of therapeutic strategies for PD.

Indexed as

biomarkerclinical subtypingcluster analysisneurodegenerative disordersParkinson’s disease

Identifiers

PMID35054279
PMCPMC8774435

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.