ReviewNeurotoxicity research2010
Clinical staging in the pathophysiology of psychotic and affective disorders: facilitation of prognosis and treatment.
Review in Neurotoxicity research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Is it possible to stage schizophrenia? A systematic review.Translational psychiatry · 2022Pooled it
- PsiOvi Staging Model for Schizophrenia (PsiOvi SMS): A New Internet Tool for Staging Patients with Schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2024Article
- Physical Exercise Alleviates Health Defects, Symptoms, and Biomarkers in Schizophrenia Spectrum Disorder.Neurotoxicity research · 2015Review
- Neurodegenerative aspects in vulnerability to schizophrenia spectrum disorders.Neurotoxicity research · 2014Review
- Neurogenetics and Epigenetics in Impulsive Behaviour: Impact on Reward Circuitry.Journal of genetic syndromes & gene therapy · 2012Article
- Epigenetics and biomarkers in the staging of neuropsychiatric disorders.Neurotoxicity research · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevailing utility, and indeed necessity, of clinical staging models applied in considerations of neuropsychiatric disease progressions is discussed from the perspectives of schizophrenia spectrum disorders and affective disorders, cannabis in schizopsychotic disorder, incidences of affect and psychosis, staging disorders in aging and the indices and prevalence of apathy. There would appear to be a strong current consensus that the pursuit of clinical staging of these and other brain disease states has contributed a systematic conceptual instrument to facilitate the better understanding, diagnosis, prognosis and treatment as derived from a multitude of genetic predispositions, symptoms and syndromes, early-onset and prodromal phases, recurrences and relapses, that have complicated the situation of the patient. Through a staging determination of the disorder, elements of diagnosis will describe the progression of symptoms/syndromes through pre-onset, prodromal, first-episode, recurrences and relapses, and treatment resistance thereby facilitating the eventual prognosis, intervention alternatives and treatment. This approach varies from observations of individuals at early stages of development (infancy, childhood, adolescece) to early middle age, in the case of diseases expressed through the aging processes. Essentially, the major contribution of the staging model may lie in the early identification, diagnosis, and treatments of disorders that afflict the brain and central nervous system.
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What OpenQuestion holds
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.