Evidence map›Paper›PMID 39803037›Full record

ReviewCureus2024

Parkinson's Disease: Current Treatment Modalities and Emerging Therapies.

Shabab Alotaibi, Lujain Alfayez, Mohammed Alkhudhair

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors.

Shabab AlotaibiNeurology, Movement Disorder and Neuromodulation, King Saud Medical City, Riyadh, SAU.
Lujain AlfayezNeurology, Neurology Center, Prince Sultan Military Medical City, Riyadh, SAU.
Mohammed AlkhudhairNeurology, King Faisal Specialist Hospital and Research Centre, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we review the literature on Parkinson's disease (PD) management and summarize the progress in medical, surgical, and assisted therapeutic modalities for motor and non-motor symptoms. A thorough search strategy was implemented to retrieve all relevant articles and identify the best evidence from different databases including Scopus, PubMed, Google Scholar, the Cochrane Database of Systematic Reviews, and Evidence-Based Medicine reviews from the International Parkinson and Movement Disorder Society. Multiple terms, such as Parkinson, tremor, predominant, Parkinson management, deep brain stimulation, LCIG, ablative surgery for PD, medical management of PD, and assistive devices for PD, were used for screening. A total of 160 articles were gathered; irrelevant papers and older articles were excluded. After initial exclusion, we had 140 articles to review from 1980 to 2022. Five articles were found to be duplicated, and another five articles were excluded as they did not have additional information on management that could be used in this research paper. We found that management options and assistive devices for PD are improving, with new therapeutic options emerging every year. Medical therapy is the most common therapy as it corrects dopamine deficiency which is the main factor implicated in PD; other surgical treatment options are available in cases of chronic progressive disease course. This article adds significant value to the literature as it includes the history and the role of most Parkinson's disease management options.

Indexed as

deep brain stimulationmovement disorders and tremorsparkinson' s diseaseparkinson’s managementtremor

Identifiers

PMID39803037
PMCPMC11725288

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.