Evidence map›Paper›PMID 31616268›Full record

ReviewFrontiers in human neuroscience2019

Clinical Research: Auditory Stimulation in the Disorders of Consciousness.

Jiajie Zhu, Yifan Yan, Wei Zhou, Yajun Lin, Zheying Shen, Xuanting Mou, Yan Ren, Xiaohua Hu, Haibo Di

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 2019. 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
1.9field-weighted citation impact, top 14% 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, 27 citations in OpenAlex.

  1. Article
  2. Review
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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

9 authors at 1 institution in 1 country.

Jiajie ZhuInternational Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
Yifan YanInternational Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
Wei ZhouDepartment of Rehabilitation, Hangzhou Wujing Hospital, Hangzhou, China.
Yajun LinInternational Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
Zheying ShenInternational Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
Xuanting MouInternational Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
Yan RenInternational Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
Xiaohua HuDepartment of Rehabilitation, Hangzhou Wujing Hospital, Hangzhou, China.
Haibo DiInternational Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
Hangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the complex situation of disorder of consciousness (DOC) patients, the assessment of conscious states of these patients has become a huge challenge for a long time (Laureys et al., 2010). At present, the main clinical diagnostic method to assess the conscious state of a DOC patient is the use of a relevant behavior scale like the Coma Recovery Scale-Revised (CRS-R). In this article, we will focus on auditory stimulation and select some representative auditory stimulus, like calling names and music stimulation, to discuss the function and application of the auditory stimulus in patients with DOC and provide guidance for future research.

Indexed as

auditory stimulationdisorder of consciousnessminimally consciousness statemusicname

Identifiers

PMID31616268
PMCPMC6775281
OpenAlexW2972269340

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.