Evidence map›Paper›PMID 32306061›Full record

ReviewCellular and molecular life sciences : CMLS2020

Prognostic models for prolonged disorders of consciousness: an integrative review.

Ming Song, Yi Yang, Zhengyi Yang, Yue Cui, Shan Yu, Jianghong He, Tianzi Jiang

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05954650 (Minimally Conscious State Plus Versus Minus), which is not on this map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 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.

NCT05954650 completednot on this map

Minimally Conscious State Plus Versus Minus: Likelihood of Emergence and Long-term Functional Independence

TypeobservationalSponsorHospitales NisaRan2004 to 2023Enrolled80ConditionsDisorder of ConsciousnessArmsRehabilitation
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 4 syntheses or guidelines 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

7 authors.

Ming Song *National Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China.
Yi Yang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Zhengyi YangNational Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China.
Yue CuiNational Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China.
Shan YuNational Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China.
Jianghong HeDepartment of Neurosurgery, The 7th Medical Center of the PLA General Hospital, Beijing, 100070, China. he_jianghong@sina.cn.
Tianzi JiangNational Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China. jiangtz@nlpr.ia.ac.cn.

Funding

the Natural Science Foundation of China 31771076the Natural Science Foundation of China 31870984the Natural Science Foundation of China 81600919the Natural Science Foundation of China 81671855
6 · The paper itself

Abstract

Disorders of consciousness (DoC) are acquired conditions of severe altered consciousness. During the past decades, some prognostic models for DoC have been explored on the basis of a variety of predictors, including demographics, neurological examinations, clinical diagnosis, neurophysiology and brain images. In this article, a systematic review of pertinent literature was conducted. We identified and evaluated 21 prognostic models involving a total of 1201 DoC patients. In terms of the reported accuracies of predicting the prognosis of DoC, these 21 models vary widely, ranging from 60 to 90%. Using improvement of consciousness level as favorable outcome criteria, we performed a quantitative meta-analysis, and found that the pooled sensitivity and specificity of the hybrid model that combined more than one technique were both superior to those of any single technique, including EEG and fMRI at the tasks and resting state. These results support the view that any single technique has its own advantages and limitations; and the integrations of multiple techniques, including diverse brain images and different paradigms, have the potential to improve predictive accuracy for DoC. Then, we provide methodological points of view and some prospects about future research. Totally, in comparison to a great many diagnostic methods for the DoC, the research of prognostic models is sparse and preliminary, still largely in its infancy with many challenges and opportunities.

Indexed as

ConsciousnessConsciousness DisordersHumansMagnetic Resonance ImagingPrognosisRecovery of FunctionConscious recoveryDisorders of consciousnessOutcomePredictionPrognostic model

Identifiers

PMID32306061
PMCPMC11104990

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.