Evidence map›Paper›PMID 35651347›Full record

ArticleFrontiers in neurology2022

Comparison of the Results of a Parkinson's Holter Monitor With Patient Diaries, in Real Conditions of Use: A Sub-analysis of the MoMoPa-EC Clinical Trial.

Carlos Pérez-López, Jorge Hernández-Vara, Nuria Caballol, Àngels Bayes, Mariateresa Buongiorno, Núria Lopez-Ariztegui, Alexandre Gironell, José López-Sánchez, Juan Carlos Martínez-Castrillo, Alvarez Sauco M and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04176302 (Monitoring of Mobility of Parkinson's Patients for Therapeutic Purposes - Clinical Trial), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT04176302 nacompletednot on this map

Monitoring of Mobility of Parkinson's Patients for Therapeutic Purposes - Clinical Trial

TypeinterventionalSponsorConsorci Sanitari de l'Alt Penedès i GarrafRan2019 to 2023Enrolled173ConditionsParkinson DiseaseArmsParkinson Holter, Motor fluctuations diary, Traditional clinical practice
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
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

15 authors.

Carlos Pérez-LópezDepartment of Investigation, Consorci Sanitari de l'Alt Penedès i Garraf, Sant Pere de Ribes, Spain.
Jorge Hernández-VaraNeurology Department, Hospital Universitari Vall D Hebron Neurodegenerative Diseases Research Group, Vall D Hebron Institut de Recerca Universidad Autónoma de Barcelona, Biomedical Research Network Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain.
Nuria CaballolDepartment of Neurology, Hospital de Sant Joan Despí Moisès Broggi, Sant Joan Despi, Spain.
Àngels BayesParkinson's and Movement Disorders Unit, Hospital Quirón-Teknon, Barcelona, Spain.
Mariateresa BuongiornoDepartment of Neurology, Hospital Universitari Mútua Terrassa, Barcelona, Spain.
Núria Lopez-ArizteguiDepartment of Neurology, Hospital Universitario de Toledo, Toledo, Spain.
Alexandre GironellDepartment of Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
José López-SánchezDepartment of Neurology, Hospital Virgen de la Arrixaca de Murcia, Murcia, Spain.
Juan Carlos Martínez-CastrilloMovement Disorders and Neurodegenerative Diseases Unit, IRYCIS, Hospital Ramón y Cajal, Madrid, Spain.
Alvarez Sauco MDepartment of Neurology, Hospital General de Elche, Elche, Spain.
Lydia López-ManzanaresDepartment of Neurology, Hospital Universitario de la Princesa, Madrid, Spain.
Sonia Escalante-ArroyoDepartment of Neurology, Hospital de Tortosa Verge de la Cinta, Tortosa, Spain.
David A Pérez-MartínezNeurology Service, Hospital Universitario 12 de Octubre, Madrid, Spain.
Alejandro Rodríguez-MolineroDepartment of Investigation, Consorci Sanitari de l'Alt Penedès i Garraf, Sant Pere de Ribes, Spain.
MoMoPa-EC Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: For specialists in charge of Parkinson's disease (PD), one of the most time-consuming tasks of the consultations is the assessment of symptoms and motor fluctuations. This task is complex and is usually based on the information provided by the patients themselves, which in most cases is complex and biased. In recent times, different tools have appeared on the market that allow automatic ambulatory monitoring. The MoMoPa-EC clinical trial (NCT04176302) investigates the effect of one of these tools-Sense4Care's STAT-ON-can have on routine clinical practice. In this sub-analysis the agreement between the Hauser diaries and the STAT-ON sensor is analyzed. Methods: Eighty four patients from MoMoPa-EC cohort were included in this sub-analysis. The intraclass correlation coefficient was calculated between the patient diary entries and the sensor data. Results: The intraclass correlation coefficient of both methods was 0.57 (95% CI: 0.3-0.73) for the OFF time (%), 0.48 (95% CI: 0.17-0.68) for the time in ON (%), and 0.65 (95% CI%: 0.44-0.78) for the time with dyskinesias (%). Furthermore, the Spearman correlations with the UPDRS scale have been analyzed for different parameters of the two methods. The maximum correlation found was -0.63 ( Conclusion: This sub-analysis shows a moderate concordance between the two tools, it is clearly appreciated that the correlation between the different UPDRS indices is better with the STAT-ON than with the Hauser diary. Trial Registration: https://clinicaltrials.gov/show/NCT04176302 (NCT04176302).

Indexed as

automatic ambulatory monitoringmotor fluctuationsParkinson's diseasetherapeutic adjustmentwearable sensors

Identifiers

PMID35651347
PMCPMC9149269

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Registered trials

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.