Elsevier

Schizophrenia Research

Volume 201, November 2018, Pages 249-253
Schizophrenia Research

Patients participating to neurobiological research in early psychosis: A selected subgroup?

https://doi.org/10.1016/j.schres.2018.04.033Get rights and content

Abstract

Aim

Selection bias could be an important limiting factor in psychiatric neurobiological research. The study aim was to compare, within an early psychosis program, patients who agreed to participate to neurobiological research with patients who refused.

Methods

284 patients with early psychosis were assessed at baseline on a large set of socio-demographic and clinical variables and were followed-up over 36 months.

Results

There were no differences between groups, except regarding forensic/psychiatric history, lifetime substance abuse and social-occupational level during follow-up.

Conclusions

While patients participating to neurobiological research seem representative of our clinical cohort, the few differences identified may deserve attention.

Introduction

Exciting or demanding biomedical investigations may attract a specific subgroup of volunteers and conclusions derived from such research may present serious limitations (Gustavsson et al., 1997). Referral questions, motivation and ability to consent may induce selection bias of patients consenting to participate in psychiatric neurobiological research. Moreover many of such studies are based on relatively small number of participants. This might contribute to the lack of consensus between studies and affect findings' generalisation. Selection bias may thus fuel the so-called “replicability crisis” (Barch and Yarkoni, 2013; Gorgolewski and Poldrack, 2016; Tackett et al., 2016).

A study investigating the willingness to take part in research consecutively to psychiatric admission reported high (>70%) readiness to participate, and found that rather than remuneration or other factors, altruistic motivations such as the wish to help science to progress and to allow patients to benefit from better treatments were the most frequent (Zullino et al., 2003). Selection bias is difficult to investigate because data on patients who did not participate are typically not available. Data stemming from prospective clinical cohort studies can offer a context where such a limitation may be overcome. The goal of our study was to compare the characteristics, within a clinical cohort of patients with early psychosis treated at the Treatment and early Intervention in Psychosis Program (TIPP), of patients who consented to neurobiological research with those who didn't.

Section snippets

Participants

TIPP is a specialized early psychosis program at the Department of Psychiatry in Lausanne University Hospital, Switzerland. Inclusion criteria are age between 18 and 35, living in catchment area (population about 300,000) and meeting criteria for psychosis, as defined by the ‘psychosis threshold’ subscale of the Comprehensive Assessment of At Risk Mental States scale (Yung et al., 2005). The program has been detailed elsewhere (Baumann et al., 2013). Patients with psychosis related to

Results

Out of 284 patients, 95 (33.45%) consented to the biomarker study and 189 (66.55%) didn't.

Discussion

Globally, our results suggest that, in our cohort, patients included in a biomarker study were globally representative of all patients treated in our program and that our results can reasonably be generalised to other patients with early psychosis. While this need to be replicated in other samples, this observation is important when considering the important role translational research may play in advancing our understanding of the basic mechanisms linked to severe mental disorders. However,

Conclusion

Our study showed that, although it implied an important number of assessments, patients of our cohort who participated to our biomarker study were globally representative of patients in the entire cohort. While this needs to be replicated in other samples and the few differences identified should be systematically evaluated in future studies, this suggests that findings from neurobiological studies are likely to have a good validity and can be generalised to other patients with early psychosis.

Contributors

PG, PB and PC designed this study. PG analyzed and interpreted the data. PG, PB and RJ drafted the first version of the manuscript. PC and KD critically revised the manuscript for important intellectual content. All authors read and approved the final manuscript.

Conflict of interest with respect to the study and manuscript

The authors declare no conflict of interest in relation to the subject of the study.

Role of the funding source

This study was supported by the Swiss National Science Foundation (#320030_122419 to P.C.), by the FNS SYNAPSY (#320030‑158776) and institutional funding. PSB was financially supported by Leenaards Foundation.

Acknowledgment

We wish to thank the case managers from the TIPP Program for their invaluable work for collecting this data over the years. We also express our gratitude to all patients for their enduring participation.

References (22)

  • P. Conus et al.

    Rate and predictors of service disengagement in an epidemiological first-episode psychosis cohort

    Schizophr. Res.

    (2010)
  • T. Schoeler et al.

    Continued versus discontinued cannabis use in patients with psychosis: a systematic review and meta-analysis

    Lancet Psychiatry

    (2016)
  • L. Alameda et al.

    Age at the time of exposure to trauma modulates the psychopathological profile in patients with early psychosis

    J. Clin. Psychiatry

    (2016)
  • American Psychiatric Association

    Diagnostic and Statistical Manual of Mental Disorders (DSM)

    (1994)
  • D.M. Barch et al.

    Introduction to the Special Issue on Reliability and Replication in Cognitive and Affective Neuroscience Research

    (2013)
  • P.S. Baumann et al.

    Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne): implementation of an early intervention programme for psychosis in Switzerland

    Early Interv. Psychiatry

    (2013)
  • H.E. Cannon-Spoor et al.

    Measurement of premorbid adjustment in chronic schizophrenia

    Schizophr. Bull.

    (1982)
  • P. Conus et al.

    The First-Episode Psychosis Outcome Study: premorbid and baseline characteristics of an epidemiological cohort of 661 first-episode psychosis patients

    Early Interv. Psychiatry

    (2007)
  • M. Fournier et al.

    Impaired metabolic reactivity to oxidative stress in early psychosis patients

    Schizophr. Bull.

    (2014)
  • K.J. Gorgolewski et al.

    A practical guide for improving transparency and reproducibility in neuroimaging research

    PLoS Biol.

    (2016)
  • J. Gustavsson et al.

    The healthy control subject in psychiatric research: impulsiveness and volunteer bias

    Acta Psychiatr. Scand.

    (1997)
  • Cited by (4)

    • Selection bias in clinical studies of first-episode psychosis: A follow-up study

      2022, Schizophrenia Research
      Citation Excerpt :

      Only one study by Golay et al. (2018) studied selection bias specifically among early psychosis subjects in a clinical study. The study concluded that participating and nonparticipating groups did not differ significantly from each other, but the results needed to be replicated (Golay et al., 2018). In our study, we tested the hypothesis that patient samples in clinical first-episode studies are biased in a way that nonparticipating subjects would differ in clinical terms compared to the participating group and thus would represent a more severe phenotype.

    View full text