Evidence map›Paper›PMID 27014601›Full record

ReviewWorld journal of psychiatry2016

Biomarkers in schizophrenia: A focus on blood based diagnostics and theranostics.

Chi-Yu Lai, Elizabeth Scarr, Madhara Udawela, Ian Everall, Wei J Chen, Brian Dean

Abstract readReview
In one paragraph

Review in World journal of psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing 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.

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

75 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  20. Non-coding RNA research · 2024
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15 more citing papers are in PubMed but not listed here.

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

6 authors.

Chi-Yu LaiChi-Yu Lai, Elizabeth Scarr, Madhara Udawela, Ian Everall, Brian Dean, the Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3010, Australia.
Elizabeth ScarrChi-Yu Lai, Elizabeth Scarr, Madhara Udawela, Ian Everall, Brian Dean, the Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3010, Australia.
Madhara UdawelaChi-Yu Lai, Elizabeth Scarr, Madhara Udawela, Ian Everall, Brian Dean, the Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3010, Australia.
Ian EverallChi-Yu Lai, Elizabeth Scarr, Madhara Udawela, Ian Everall, Brian Dean, the Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3010, Australia.
Wei J ChenChi-Yu Lai, Elizabeth Scarr, Madhara Udawela, Ian Everall, Brian Dean, the Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3010, Australia.
Brian DeanChi-Yu Lai, Elizabeth Scarr, Madhara Udawela, Ian Everall, Brian Dean, the Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3010, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying biomarkers that can be used as diagnostics or predictors of treatment response (theranostics) in people with schizophrenia (Sz) will be an important step towards being able to provide personalized treatment. Findings from the studies in brain tissue have not yet been translated into biomarkers that are practical in clinical use because brain biopsies are not acceptable and neuroimaging techniques are expensive and the results are inconclusive. Thus, in recent years, there has been search for blood-based biomarkers for Sz as a valid alternative. Although there are some encouraging preliminary data to support the notion of peripheral biomarkers for Sz, it must be acknowledged that Sz is a complex and heterogeneous disorder which needs to be further dissected into subtype using biological based and clinical markers. The scope of this review is to critically examine published blood-based biomarker of Sz, focusing on possible uses for diagnosis, treatment response, or their relationship with schizophrenia-associated phenotype. We sorted the studies into six categories which include: (1) brain-derived neurotrophic factor; (2) inflammation and immune function; (3) neurochemistry; (4) oxidative stress response and metabolism; (5) epigenetics and microRNA; and (6) transcriptome and proteome studies. This review also summarized the molecules which have been conclusively reported as potential blood-based biomarkers for Sz in different blood cell types. Finally, we further discusses the pitfall of current blood-based studies and suggest that a prediction model-based, Sz specific, blood oriented study design as well as standardize blood collection conditions would be useful for Sz biomarker development.

Indexed as

BiomarkerClinical coursesDiagnosticsPeripheral bloodSchizophreniaSchizophrenia-associated phenotypeTreatment response

Identifiers

PMID27014601
PMCPMC4804259

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.