Evidence mapPaperPMID 40778161Full record

ArticlemedRxiv : the preprint server for health sciences2025

CDS-PD: A Novel Clinical Decision Support Platform for Parkinson's Disease.

Deepak K Gupta, Pedram Golnari, Katrina Prantzalos, Ian Zurlo, Vivikta Iyer, Brenna M Lobb, Cole Zweber, Manu Bulusu, Dakota Clarke, James T Boyd and 3 more

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In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Katrina PrantzalosORCID 0000-0003-4009-2950
Ian Zurlo
Vivikta Iyer
Manu Bulusu
Dakota Clarke
James T Boyd

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The Movement Disorders Society clinical diagnostic criteria for Parkinson's disease (MDS-PD) allow highly sensitive and specific diagnosis of Parkinson's disease. However, their adoption has been limited due to lack of a clinical decision support (CDS) tool to support clinicians and researchers in systematically and accurately applying the MDS-PD criteria. Materials and Methods: We have developed and evaluated a CDS platform for PD (CDS-PD) as a modular and extensible informatics platform with comprehensive functionalities for recording relevant patient information. We have performed real time application of diagnostic algorithm of the MDS-PD criteria. Results: The CDS-PD platform shows high concordance with application of the MDS-PD criteria by experienced movement disorders neurologists. Discussion: The CDS-PD platform is a transformative step towards realizing the standardized electronic implementation of the MDS-PD criteria for PD patient care and clinical trials at point-of-care. Conclusion: The CDS-PD platform can be accessed after registration at weblink https://www.cdspd.org. LAY SUMMARY: Diagnostic criteria for Parkinson's disease (PD) have been developed to improve accuracy of clinical diagnosis of PD. However, these criteria are inherently complex to apply using a manual approach with pen-and-paper and are not supported in electronic health record systems. There is a need for a clinical decision support (CDS) system to support clinicians and researchers alike in the implementation of these criteria. We developed a novel technology platform to address this unmet need.

Identifiers

PMID40778161
PMCPMC12330424

What Socratic 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 Socratic graph.