Observational studyBMC primary care2025
Time is health: management of Parkinson's disease in primary care: a retrospective quantitative study of diagnostic and therapeutic timelines.
Observational study in BMC primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed.
- Smartphone-Based Multimodal Digital Biomarker Integration for Parkinson's Disease Screening and Diagnostic Support.Neurology and therapy · 2026Article
- Subclinical inflammation and early pathogenesis of rheumatic diseases: mechanistic insights relevant to primary care.Irish journal of medical science · 2026Review
- Evaluating the Relationship Between Early Non-Motor Symptoms and Late Diagnosis of Parkinson's Disease Based on the PPMI Database From 2012 to 2018: A Retrospective Cross-Sectional Study.Health science reports · 2026Article
- Long-Term Ambient Benzene Exposure and Brain Disorders Among Urban Adults: Effect Modification by Genetic Susceptibility and Potential Mediation by Plasma Proteins.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The Relationship Between Voluntary Rapid Blinking Rate and Future Development of Neurodegenerative Disease.Geriatrics & gerontology international · 2026Article
- National implementation of a digital Parkinson's disease screening programme in Thailand: reach, adoption, and real-world performance of the CheckPD app.BMC public health · 2026Article
- Deep Convolutional Neural Network-Based Detection of Gait Abnormalities in Parkinson's Disease Using Fewer Plantar Sensors in a Smart Insole.Biosensors · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundParkinson’s disease is a neurodegenerative disorder which can be difficult to diagnose due to the non-specificity of the initial symptoms. The objective of our study was to objectify and quantify the delay of the diagnostic process and to identify the factors that influence it.
methodsAn exploratory quantitative, cross-sectional, retrospective, observational study was conducted from 22 March 2023 to 31 March 2024 among general practitioners (GPs) practising in France who were asked to study their patient files concerning the care pathways of their patients with Parkinson’s disease. The data was collected using a standardised, anonymised online questionnaire (Limesurvey®), the link to which was distributed via email. The questionnaire provided detailed information on the key dates of diagnosis and follow-up, and on the symptoms reported by patients and documented by doctors.
resultsThe diagnostic pathway for Parkinson’s disease is substantiated by the observation of protracted delays. On average, patients take more than three years to obtain a formal diagnosis and to receive appropriate treatment. The delays experienced are primarily attributable to prodromal non-visible non-motor symptoms, for which referral delays are tripled in comparison to visible motor symptoms. Challenges in accessing a neurologist and the frequent necessity for unnecessary complementary exams also contribute to the delays.
conclusionOur results underscore the pivotal role of GPs in the early detection of Parkinson’s disease, particularly in its prodromal stage marked by non-visible non-motor symptoms. While the diagnostic hypothesis was confirmed in most cases (70%) by neurologists, specific training of GPs in Parkinson’s disease with recognition of non-motor symptoms and treatment initiation would accelerate the process of diagnosis and referral to a neurologist and potentially reduce diagnostic and therapeutic times.
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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 Socratic graph.