Evidence map›Paper›PMID 17702990›Full record

ReviewSchizophrenia bulletin2008

The phenomenological critique and self-disturbance: implications for ultra-high risk ("prodrome") research.

Barnaby Nelson, Alison R Yung, Andreas Bechdolf, Patrick D McGorry

Abstract readReview
In one paragraph

Review in Schizophrenia bulletin, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. A qualitative phenomenological analysis of the subjective experience and understanding of the at risk mental state.International journal of qualitative studies on health and well-being · 2017
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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

4 authors.

Barnaby NelsonORYGEN Research Centre, 35 Poplar Road (Locked Bag 10), Parkville, Victoria 3052, Australia. Barnaby.Nelson@mh.org.au
Alison R Yung
Andreas Bechdolf
Patrick D McGorry

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent years have witnessed widespread interest in the early phase of schizophrenia and other psychotic disorders. Strategies have been introduced to attempt to identify individuals in the prepsychotic or prodromal phase. The most widely used of these approaches is the ultra-high risk (UHR) approach, which combines known trait and state risk factors for psychotic disorder. However, researchers guided by phenomenological theory have argued that modern psychiatry's neglect of subjective experience has compromised researchers' understanding of psychotic disorder and has thereby limited efforts at prospective and early identification. Phenomenological research indicates that disturbance of the basic sense of self may be a core marker of psychotic vulnerability, particularly of schizophrenia spectrum disorders. It is argued that identifying self-disturbance in the UHR population may provide a means of further "closing in" on individuals truly at high risk of psychotic disorder, thus supplementing the UHR identification approach. This would be of practical value in the sense of reducing inclusion of "false-positive" cases in UHR samples and of theoretical value in the sense of shedding light on core features of psychotic pathology. The strong explanatory power and empirical findings to date invite further research into the role of self-disturbance as a phenotypic vulnerability marker for psychotic disorder.

Indexed as

Self ConceptHumansPsychotic DisordersRisk FactorsSchizophrenia

Identifiers

PMID17702990
PMCPMC2632406

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.