Evidence map›Paper›PMID 32915309›Full record

SynthesisJournal of neurology2021

Managing disorders of consciousness: the role of electroencephalography.

Yang Bai, Yajun Lin, Ulf Ziemann

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Yang BaiInternational Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
Yajun LinInternational Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
Ulf ZiemannDepartment of Neurology and Stroke, University of Tübingen, Hoppe‑Seyler‑Str. 3, 72076, Tübingen, Germany. ulf.ziemann@uni-tuebingen.de.ORCID http://orcid.org/0000-0001-8372-3615

Funding

Alexander von Humboldt-Stiftung 1203399 - CHN - HFST - PMedicine and Health Science and Technology Project of Zhejiang Province (CN) 2019RC254National Natural Science Foundation of China 61901155
6 · The paper itself

Abstract

Disorders of consciousness (DOC) are an important but still underexplored entity in neurology. Novel electroencephalography (EEG) measures are currently being employed for improving diagnostic classification, estimating prognosis and supporting medicolegal decision-making in DOC patients. However, complex recording protocols, a confusing variety of EEG measures, and complicated analysis algorithms create roadblocks against broad application. We conducted a systematic review based on English-language studies in PubMed, Medline and Web of Science databases. The review structures the available knowledge based on EEG measures and analysis principles, and aims at promoting its translation into clinical management of DOC patients.

Indexed as

ConsciousnessConsciousness DisordersElectroencephalographyHumansPersistent Vegetative StatePrognosisDisorders of consciousnessElectroencephalographyEvent-related potentialMinimally conscious stateTMS-EEGUnresponsive wakefulness stateVegetative state

Identifiers

PMID32915309
PMCPMC8505374

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.