Evidence map›Paper›PMID 37662044›Full record

ArticleFrontiers in neurology2023

Holter STAT-ON™ against other tools for detecting MF in advanced Parkinson's disease: an observational study.

Iria Cabo-Lopez, Alfredo Puy-Nuñez, Nuria Redondo-Rafales, Sara Teixeira Baltazar, Beatriz Calderón-Cruz

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. 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
0.8field-weighted citation impact, top 25% 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, 4 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 2 institutions in 1 country.

Iria Cabo-LopezNeurology Department, University Hospital Complex of Pontevedra, Galicia, Spain.
Alfredo Puy-NuñezNeurology Department, University Hospital Complex of Pontevedra, Galicia, Spain.
Nuria Redondo-RafalesNeurology Department, University Hospital Complex of Pontevedra, Galicia, Spain.
Sara Teixeira BaltazarMethodology and Statistics Unit, Galicia Sur Health Research Institute, Galicia, Spain.
Beatriz Calderón-CruzMethodology and Statistics Unit, Galicia Sur Health Research Institute, Galicia, Spain.
Complejo Hospitalario de Pontevedra · ESGalicia Sur Biomedical Foundation · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Different screening tools to identify advanced Parkinson's disease (APD) have emerged in recent years. Among them, wearable medical devices, such as STAT-ON™, have been proposed to help to objectively detect APD. Objectives: To analyze the correlation between STAT-ON™ reports and other assessment tools to identify APD and to assess the accuracy of screening tools in APD patients, using the STAT-ON™ as the gold standard. Methods: In this retrospective, observational study, data from the University Hospital Complex of Pontevedra database on 44 patients with potential APD who wore STAT-ON™ were extracted. Data were collected according to different sources of tools for identifying APD: (1) STAT-ON™, (2) information provided by the patient, (3) questionnaire for advanced Parkinson's disease (CDEPA), (4) 5-2-1 Criteria, and (5) Making Informed Decisions to Aid Timely Management of Parkinson's Disease (MANAGE-PD). Considering STAT-ON™ recordings as a reference, the sensitivity, specificity, and positive and negative predictive values for each tool were calculated. The Results: Although no statistically significant association was found between STAT-ON™ recordings and any screening methods evaluated, the CDEPA questionnaire demonstrated the highest sensitivity and VPN values to detect patients with APD candidates for second-line therapy (SLT). According to the correlation analyses, MANAGE-PD demonstrated the highest degree of concordance with STAT-ON™ recordings to identify the SLT indication and to predict the SLT decision. Conclusion: STAT-ON™ device may be a helpful tool to detect APD and to guide treatment decisions.

Indexed as

levodopamachine learningmotor complicationsParkinson diseasewearable electronic devices

Identifiers

PMID37662044
PMCPMC10472943
OpenAlexW4385987613

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.