Literature DB >> 31144394

Improper study design precludes valid effect estimates in important suicide prevention research.

Lars-Håkan Thorell1,2, Karl Wahlin3, Jonas Ranstam4.   

Abstract

The observational study design for estimating accuracy of diagnostic tests for suicide risk in clinical work is not ideal, due to the effects of directed suicide prevention to the high-risk group. This is an example of the confounding by indication and protopathic bias, which lead to misinterpretation of the accuracy terms sensitivity and specificity. The simple arithmetic mechanism presented here, forces the conclusion that the accuracy estimates sensitivity and specificity, applied in open prospective trials of surmised diagnostic tests for suicide risk, cannot be normally interpreted as accuracy estimators. Further, the related concept "prediction of suicide" is shown to be fundamentally illogical and should not be used in the present context. All these statements reveal a far-reaching problem within the suicide prevention research: Conclusions regarding the usefulness of diagnostic tests of suicide risk in the vast previous research since decades deserve reinterpretation. Diagnostic tests per se, can possess highly qualitative properties in estimating important suicidological aspects regarding a patient, but, when studied in an open design study, it cannot be demonstrated. This problem concerns rating scales and any biological and psychological tests in medicine, when confounding factors, for example, suicide prevention, influence the outcome because of the test result per se.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  confounding by indication; naturalistic studies; sensitivity; suicide prevention research; trials of diagnostic tests for suicide risk

Mesh:

Year:  2019        PMID: 31144394      PMCID: PMC6877335          DOI: 10.1002/mpr.1786

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


  12 in total

1.  Indication bias or protopathic bias?

Authors:  Jean-Luc Faillie
Journal:  Br J Clin Pharmacol       Date:  2015-09-16       Impact factor: 4.335

2.  Improper study design precludes valid effect estimates in important suicide prevention research.

Authors:  Lars-Håkan Thorell; Karl Wahlin; Jonas Ranstam
Journal:  Int J Methods Psychiatr Res       Date:  2019-05-29       Impact factor: 4.035

3.  A paradox in suicide statistics in estimating specificity of tests for suicide - reply to Mushquash and co-workers and Culver.

Authors:  L H Thorell; M Wolfersdorf; R Straub; J Steyer; S Hodgkinson; W P Kaschka; M Jandl; K Wahlin
Journal:  J Psychiatr Res       Date:  2014-03-28       Impact factor: 4.791

4.  Further suicidal behaviour: the development and validation of predictive scales.

Authors:  D Buglass; J W McCulloch
Journal:  Br J Psychiatry       Date:  1970-05       Impact factor: 9.319

5.  Diagnostic tests. 1: Sensitivity and specificity.

Authors:  D G Altman; J M Bland
Journal:  BMJ       Date:  1994-06-11

6.  Suicide risk in relation to socioeconomic, demographic, psychiatric, and familial factors: a national register-based study of all suicides in Denmark, 1981-1997.

Authors:  Ping Qin; Esben Agerbo; Preben Bo Mortensen
Journal:  Am J Psychiatry       Date:  2003-04       Impact factor: 18.112

Review 7.  Predicting suicide following self-harm: systematic review of risk factors and risk scales.

Authors:  Melissa K Y Chan; Henna Bhatti; Nick Meader; Sarah Stockton; Jonathan Evans; Rory C O'Connor; Nav Kapur; Tim Kendall
Journal:  Br J Psychiatry       Date:  2016-06-23       Impact factor: 9.319

8.  Electrodermal activity in suicidal and nonsuicidal depressive patients and in matched healthy subjects.

Authors:  L H Thorell
Journal:  Acta Psychiatr Scand       Date:  1987-10       Impact factor: 6.392

9.  Meta-Analysis of Longitudinal Cohort Studies of Suicide Risk Assessment among Psychiatric Patients: Heterogeneity in Results and Lack of Improvement over Time.

Authors:  Matthew Large; Muthusamy Kaneson; Nicholas Myles; Hannah Myles; Pramudie Gunaratne; Christopher Ryan
Journal:  PLoS One       Date:  2016-06-10       Impact factor: 3.240

Review 10.  Instruments for the assessment of suicide risk: A systematic review evaluating the certainty of the evidence.

Authors:  Bo Runeson; Jenny Odeberg; Agneta Pettersson; Tobias Edbom; Ingalill Jildevik Adamsson; Margda Waern
Journal:  PLoS One       Date:  2017-07-19       Impact factor: 3.240

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  1 in total

1.  Improper study design precludes valid effect estimates in important suicide prevention research.

Authors:  Lars-Håkan Thorell; Karl Wahlin; Jonas Ranstam
Journal:  Int J Methods Psychiatr Res       Date:  2019-05-29       Impact factor: 4.035

  1 in total

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