Evidence map›Paper›PMID 33466136›Full record

ArticleMedicine2021

The effectiveness of specialized nursing interventions for patients with Parkinson disease: A randomized controlled study protocol.

Yi Chen, Ting Lu, Xiaoyan Jiang, Xinyue Huang

Expression of concernOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Yi ChenDepartment of Neurology.
Ting LuDepartment of Neurology.
Xiaoyan JiangDepartment of Cardiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Sichuan, China.
Xinyue HuangDepartment of Neurology.ORCID 0000-0003-3728-592
S.P.E.C.I.E.S. · USSichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CN

Funding

Sichuan Cadre Health Research Project 2017-217
6 · The paper itself

Abstract

backgroundThe purpose of this experiment is to evaluate the impact of the care of Parkinson disease nurse specialist on improving motor symptoms and life quality for patients with Parkinson disease (PD).

methodThis is a randomized controlled research, and it will be conducted from April 2021 to October 2021 at Sichuan Provincial People's Hospital. The experiment was granted through the Research Ethics Committee of Sichuan Provincial People's Hospital (004510293). All the patients suffer from PD, age 18 years or older, both female and male, regardless of the duration or severity of this disease are eligible. The exclusion criteria contains: lack sufficient knowledge to complete questionnaires, serious physical comorbidities or refuse to take part in the program. In our experiment, the major result measures are motor symptoms and life quality. For the measurement of life quality, we will utilize Parkinson disease Questionnaire-39, the most extensively utilized the scale of life quality in PD. The evaluation of motor symptoms severity is carried out with the revision of Unified Parkinson Disease Rating Scale sponsored by Movement Disorder Society.

resultsTable 1 indicates clinical outcomes at different time points.

conclusionThe Parkinson's disease nurse specialist care may promote the life quality in the PD patients. TRIAL REGISTRATION NUMBER: researchregistry 6284.

Indexed as

HumansParkinson DiseasePatient Care PlanningPatient Education as TopicQuality of LifeRandomized Controlled Trials as TopicSelf-ManagementSeverity of Illness Index

Identifiers

PMID33466136
PMCPMC7808514
OpenAlexW3119985547

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.