Evidence map›Paper›PMID 30282627›Full record

ReviewEvidence-based mental health2018

Need for evidence-based early intervention programmes: a public health perspective.

Sinan Guloksuz, Jim van Os

Abstract readReview
In one paragraph

Review in Evidence-based mental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Frontiers in psychiatry · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

2 authors.

Sinan GuloksuzDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands.
Jim van OsDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper attempts to discuss why the early intervention agenda based on the current convention of 'ultra-high risk' (UHR) or 'clinical high risk' (CHR) for 'transition' to psychosis framework has been destined to fall short of generating a measurable and economically feasible public health impact. To summarise: (1) the primary determinant of the 'transition' rate is not the predictive value of the UHR/CHR but the degree of the risk-enrichment; (2) even with a significant pre-test risk enrichment, the prognostic accuracy of the assessment tools in help-seeking population is mediocre, failing to meet the bare minimum thresholds; (3) therapeutic interventions arguably prolong the time-to-onset of psychotic symptoms instead of preventing 'transition', given that the UHR/CHR and 'transition' lie on the same unidimensional scale of positive psychotic symptoms; (4) meta-analytical evidence confirms that specific effective treatment for preventing 'transition' (the goal-primary outcome-of the UHR/CHR framework) is not available; (5) the UHR/CHR-'transition' is a precarious target for research given the unpredictability driven by the sampling strategies and the natural ebb and flow of psychotic symptoms within and between individuals, leading to false positives; (6) only a negligible portion of those who develop psychosis benefits from UHR/CHR services (see

Indexed as

Cost-Benefit AnalysisEarly Medical InterventionEvidence-Based MedicineOutcome and Process Assessment, Health CarePublic HealthHumansPsychotic Disordersadult psychiatry

Identifiers

PMID30282627
PMCPMC10270415

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.