Evidence map›Paper›PMID 35586537›Full record

ArticleMovement disorders clinical practice2022

Advanced-Stage Parkinson's Disease: From Identification to Characterization Using a Nationwide Database.

Yael Barer, Tanya Gurevich, Gabriel Chodick, Nir Giladi, Ruth Gross, Raanan Cohen, Lars Bergmann, Yash J Jalundhwala, Varda Shalev, Meital Grabarnik-John and 1 more

Abstract read
In one paragraph

Article in Movement disorders clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  5. Review
  6. Article
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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

11 authors.

Yael BarerMaccabitech, Maccabi Institute for Research and Innovation Tel Aviv Israel.ORCID https://orcid.org/0000-0002-3264-3380
Tanya GurevichMovement Disorders Unit, Department of Neurology Tel Aviv Sourasky Medical Center Tel Aviv Israel.
Gabriel ChodickMaccabitech, Maccabi Institute for Research and Innovation Tel Aviv Israel.
Nir GiladiMovement Disorders Unit, Department of Neurology Tel Aviv Sourasky Medical Center Tel Aviv Israel.
Ruth GrossAbbVie Inc Hod Hasharon Israel.
Raanan CohenAbbVie Inc Hod Hasharon Israel.
Lars BergmannAbbVie Inc North Chicago Illinois USA.
Yash J JalundhwalaAbbVie Inc North Chicago Illinois USA.
Varda ShalevSackler School of Medicine Tel Aviv University Tel Aviv Israel.
Meital Grabarnik-JohnAbbVie Inc Hod Hasharon Israel.
Avner ThalerMovement Disorders Unit, Department of Neurology Tel Aviv Sourasky Medical Center Tel Aviv Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As Parkinson's disease (PD) progresses, response to oral medications decreases and motor complications appear. Timely intervention has been demonstrated as effective in reducing symptoms. However, current instruments for the identification of these patients are often complicated and inadequate. It has been suggested that anti-PD intensified therapy (IT) can serve as a proxy for increased burden of disease. Objective: To explore whether IT aligns with events reflecting advanced PD (APD) burden. Methods: This was a retrospective analysis of PD beneficiaries in the second-largest healthcare provider in Israel. Patients with PD diagnosed between January 2000 and June 2018 and treated with levodopa (l-dopa) ≥5 times/day and/or ≥1000 mg l-dopa equivalent daily dose were defined as the IT cohort (n = 2037). Treated patients with PD not fulfilling this criterion were defined as the nonintensified therapy (NIT) cohort (n = 3402). Point prevalence and 5- and 10-year cumulative incidence of IT were assessed. Baseline demographic and comorbidities, 1-year healthcare resource use, health costs, and time to clinical events were assessed and compared between cohorts. Results: IT was associated with significantly ( Conclusions: Treatment intensity can serve as an objective and robust indicator of more APD. This readily extractable marker can be easily integrated into electronic medical record alerts to actively target more advanced patients and to guide risk-appropriate care.

Indexed as

antiparkinson agentscost of illnessdyskinesiaslevodopaParkinson's disease

Identifiers

PMID35586537
PMCPMC9092754

What OpenQuestion holds

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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.