Evidence map›Paper›PMID 29745516›Full record

ReviewSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2017

[Research on the mechanism of delirium based on related serum biomarkers of the delirium].

Yanyan Wang, Yulin Liao, Jirong Yue

Open access · greenAbstract readEnglish AbstractReview
In one paragraph

Review in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Yanyan WangNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, P.R.China;Medical Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
Yulin LiaoNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
Jirong YueNational Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, P.R.China;Medical Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delirium is an acute cognitive disorder caused by a variety of factors which lead to cerebral cortical dysfunction. At present the studies on the pathophysiology of delirium is still very few. But studies on serum biomarker of delirium can help to elucidate the pathophysiological mechanism of delirium, and the studies are significant for delirium diagnosis, severity classification and prediction of long-term outcome. This review examines three major groups of delirium related serum biomarkers: ① risk markers: those that are present or elevated prior to disease onset, including serum chemistries, genetic markers and so on; ② disease markers: those markers elevate with delirium onset and fall when delirium recovery, including acetylcholine and serum anticholinergic activity, serotonin, serum amino acids, and melatonin, interleukin, C-reactive protein; and ③ end products: those that rise in proportion to the consequences of disease, including S-100ß and neuron specific enolase. The three markers mentioned above are helpful to further investigate the mechanism of delirium.

Indexed as

deliriumdelirium mechanismserum biomarker

Identifiers

PMID29745516
PMCPMC9935450
OpenAlexW2979972273

What OpenQuestion holds

Textmetadata
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.