Evidence map›Paper›PMID 34357117›Full record

ReviewJournal of personalized medicine2021

Personalized Medicine in Parkinson's Disease: New Options for Advanced Treatments.

Takayasu Mishima, Shinsuke Fujioka, Takashi Morishita, Tooru Inoue, Yoshio Tsuboi

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Takayasu MishimaDepartment of Neurology, School of Medicine, Fukuoka University, 7-45-1, Nanakuma, Johnan-ku, Fukuoka 814-0180, Japan.
Shinsuke FujiokaDepartment of Neurology, School of Medicine, Fukuoka University, 7-45-1, Nanakuma, Johnan-ku, Fukuoka 814-0180, Japan.
Takashi MorishitaDepartment of Neurosurgery, School of Medicine, Fukuoka University, Fukuoka 814-0180, Japan.ORCID 0000-0002-0789-7776
Tooru InoueDepartment of Neurosurgery, School of Medicine, Fukuoka University, Fukuoka 814-0180, Japan.
Yoshio TsuboiDepartment of Neurology, School of Medicine, Fukuoka University, 7-45-1, Nanakuma, Johnan-ku, Fukuoka 814-0180, Japan.ORCID 0000-0002-6758-0981
Fukuoka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) presents varying motor and non-motor features in each patient owing to their different backgrounds, such as age, gender, genetics, and environmental factors. Furthermore, in the advanced stages, troublesome symptoms vary between patients due to motor and non-motor complications. The treatment of PD has made great progress over recent decades and has directly contributed to an improvement in patients' quality of life, especially through the progression of advanced treatment. Deep brain stimulation, radiofrequency, MR-guided focused ultrasound, gamma knife, levodopa-carbidopa intestinal gel, and apomorphine are now used in the clinical setting for this disease. With multiple treatment options currently available for all stages of PD, we here discuss the most recent options for advanced treatment, including cell therapy in advanced PD, from the perspective of personalized medicine.

Indexed as

apomorphinecell therapydeep brain stimulationfocused ultrasoundgene therapyinduced pluripotent stem cellslevodopa-carbidopa intestinal gelParkinson’s diseasepersonalized medicineradiofrequency

Identifiers

PMID34357117
PMCPMC8303729
OpenAlexW3180609661

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.