Evidence map›Paper›PMID 31164863›Full record

ArticleFrontiers in neurology2019

Hierarchical Data-Driven Analysis of Clinical Symptoms Among Patients With Parkinson's Disease.

Tal Kozlovski, Alexis Mitelpunkt, Avner Thaler, Tanya Gurevich, Avi Orr-Urtreger, Mali Gana-Weisz, Netta Shachar, Tal Galili, Mira Marcus-Kalish, Susan Bressman and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Genetic Modifiers of Parkinson's Disease: A Case-Control Study.Annals of clinical and translational neurology · 2025
    Observational
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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

14 authors at 3 institutions in 2 countries.

Tal KozlovskiDepartment of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
Alexis MitelpunktDepartment of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
Avner ThalerSackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Tanya GurevichSackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Avi Orr-UrtregerSackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Mali Gana-WeiszGenetic Institute, Tel Aviv Medical Center, Tel Aviv, Israel.
Netta ShacharDepartment of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
Tal GaliliDepartment of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
Mira Marcus-KalishDepartment of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
Susan BressmanDepartment of Neurology, Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel Medical Center, New York, NY, United States.
Karen MarderDepartment of Neurology, Taub Institute for Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, United States.
Nir GiladiSackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yoav BenjaminiDepartment of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
Anat MirelmanSackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Tel Aviv University · ILColumbia University · USMount Sinai Beth Israel · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in the LRRK2 and GBA genes are the most common inherited causes of Parkinson's disease (PD). Studies exploring phenotypic differences based on genetic status used hypothesis-driven data-gathering and statistical-analyses focusing on specific symptoms, which may influence the validity of the results. We aimed to explore phenotypic expression in idiopathic PD (iPD) patients, G2019S-LRRK2-PD, and GBA-PD using a data-driven approach, allowing screening of large numbers of features while controlling selection bias. Data was collected from 1525 Ashkenazi Jews diagnosed with PD from the Tel-Aviv Medical center; 161 G2019S-LRRK2-PD, 222 GBA-PD, and 1142 iPD (no G2019S-LRRK2 or any of the 7 AJ GBA mutations tested). Data included 771 measures: demographics, cognitive, physical and neurological functions, performance-based measures, and non-motor symptoms. The association of the genotypes with each of the measures was tested while accounting for age at motor symptoms onset, gender, and disease duration;

Indexed as

G2019S-LRRK2GBAhierarchical testingParkinson's diseaseselective inference

Identifiers

PMID31164863
PMCPMC6536639
OpenAlexW2946642074

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.