Evidence map›Paper›PMID 24325224›Full record

ReviewBiomarkers in medicine2014

Biomarkers in psychosis: an approach to early identification and individualized treatment.

Heline Mirzakhanian, Fiza Singh, Kristin S Cadenhead

Abstract readReview
In one paragraph

Review in Biomarkers in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Illness Phase as a Key Assessment and Intervention Window for Psychosis.Biological psychiatry global open science · 2023
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. 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

3 authors.

Heline MirzakhanianDepartment of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0810, USA.
Fiza Singh
Kristin S Cadenhead

Funding

VULNERABILITY MARKERS IN PRODROMAL SCHIZOPHRENIAR01MH060720 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2000 to 2010
$4.0M
Vulnerability Markers in the Prodrome and First Episode of SchizophreniaK24MH076191 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2007 to 2011
$679k
NIMH NIH HHS K24 MH076191NIMH NIH HHS R01 MH060720
6 · The paper itself

Abstract

Numerous biomarkers for somatic disorders are used in routine medical practice. Yet, despite remarkable advances in mental health research, we are not able to identify biomarkers with established clinical utility for mental disorders such as schizophrenia. While identification and characterization of biomarkers are crucial first steps in this process, their predictive diagnostic and treatment utility need to be better developed for clinical practice. The heterogeneity of psychotic disorders etiologically, pathologically and symptomatically presents both a challenge and an opportunity for the use of biomarkers in clinical practice. Simply said, a single biomarker might not exist that necessitates the search for a biomarker profile. In this review we discuss research findings in light of such an approach. We summarize some examples of emerging biomarkers in early psychosis research and delineate how these can be applied to a clinical setting to inform treatment on an individual basis fostering a personalized treatment approach.

Indexed as

AlgorithmsBiomarkersEarly DiagnosisHumansPrecision MedicinePsychotic DisordersSchizophreniaBiomarkers

Identifiers

PMID24325224
PMCPMC6984197

What OpenQuestion holds

Textmetadata
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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.