Evidence map›Paper›PMID 28358316›Full record

ReviewInternational journal of molecular sciences2017

Theranostic Biomarkers for Schizophrenia.

Matea Nikolac Perkovic, Gordana Nedic Erjavec, Dubravka Svob Strac, Suzana Uzun, Oliver Kozumplik, Nela Pivac

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. The Potential of Hair Matrix for Biomarker Analysis in Schizophrenia.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Cortisol and cytokines in schizophrenia: A scoping review.Comprehensive psychoneuroendocrinology · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Markers of Schizophrenia-A Critical Narrative Update.Journal of clinical medicine · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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.

Matea Nikolac PerkovicRudjer Boskovic Institute, Division of Molecular Medicine, 10000 Zagreb, Croatia. mnikolac@irb.hr.
Gordana Nedic ErjavecRudjer Boskovic Institute, Division of Molecular Medicine, 10000 Zagreb, Croatia. gnedic@irb.hr.
Dubravka Svob StracRudjer Boskovic Institute, Division of Molecular Medicine, 10000 Zagreb, Croatia. dsvob@irb.hr.
Suzana UzunClinic for Psychiatry Vrapce, 10090 Zagreb, Croatia. suzana.uzun@gmail.com.
Oliver KozumplikClinic for Psychiatry Vrapce, 10090 Zagreb, Croatia. okozumplik@hotmail.com.
Nela PivacRudjer Boskovic Institute, Division of Molecular Medicine, 10000 Zagreb, Croatia. npivac@irb.hr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a highly heritable, chronic, severe, disabling neurodevelopmental brain disorder with a heterogeneous genetic and neurobiological background, which is still poorly understood. To allow better diagnostic procedures and therapeutic strategies in schizophrenia patients, use of easy accessible biomarkers is suggested. The most frequently used biomarkers in schizophrenia are those associated with the neuroimmune and neuroendocrine system, metabolism, different neurotransmitter systems and neurotrophic factors. However, there are still no validated and reliable biomarkers in clinical use for schizophrenia. This review will address potential biomarkers in schizophrenia. It will discuss biomarkers in schizophrenia and propose the use of specific blood-based panels that will include a set of markers associated with immune processes, metabolic disorders, and neuroendocrine/neurotrophin/neurotransmitter alterations. The combination of different markers, or complex multi-marker panels, might help in the discrimination of patients with different underlying pathologies and in the better classification of the more homogenous groups. Therefore, the development of the diagnostic, prognostic and theranostic biomarkers is an urgent and an unmet need in psychiatry, with the aim of improving diagnosis, therapy monitoring, prediction of treatment outcome and focus on the personal medicine approach in order to improve the quality of life in patients with schizophrenia and decrease health costs worldwide.

Indexed as

BiomarkersBody FluidsHumansNerve Growth FactorsNeurotransmitter AgentsSchizophreniaTheranostic NanomedicineBiomarkersNerve Growth FactorsNeurotransmitter Agentsbiomarkersdiagnosticinflammatorymetabolicneurotrophic and neurotransmitter biomarkersprognostic and theranostic biomarkersschizophreniastress-related

Identifiers

PMID28358316
PMCPMC5412319

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.