Evidence map›Paper›PMID 25503066›Full record

ArticleDer Nervenarzt2015

[Estimation of prevalence and treatment needs of mental disorders. The problem of diagnostic thresholds].

F Jacobi, U B Barnikol

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Article in Der Nervenarzt, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

F JacobiPsychologische Hochschule Berlin (PHB), Am Köllnischen Park 2, 10179, Berlin, Deutschland, f.jacobi@psychologische-hochschule.de.
U B Barnikol

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUncertainties in the context of threshold-based diagnostics represent a theoretically unsolved methodological problem that may require multidimensional solutions. Pragmatically, current research focuses on establishing reliable and valid operationalized criteria within the framework of diagnostic systems, such as the International Classification of Diseases (ICD-10) and the Diagnostic and Statistical Manual of Mental Disorders (DSM). AIM AND

methodsBy means of model calculations based on epidemiological data we show how exemplified changes in the disorder spectrum and diagnostic criteria influence case numbers. Furthermore, we investigate how threshold-based constructs, such as DSM-IV diagnoses, relate to the general criteria of illness and sickness.

resultsVariations in the disorder spectrum and thresholds lead to slight to moderate changes in case numbers. Regarding distress and impairment, mental disorders are associated with significantly reduced health-related quality of life and an increased number of days out of role (due to mental and/or physical problems). With increasing distress and impairment, the percentage of mental disorders increases significantly; in the 5 % of the general population with the highest distress and impairment, the proportion is nearly 80 %. DISCUSSION: Despite fuzzy boundaries, threshold-based diagnoses (DSM-IV) represent a satisfactory and reproducible disease classification (in terms of illness and sickness) for estimation of prevalence. There is a lack of definitions and instruments to assess treatment needs. It is still debated whether diagnostic symptom criteria always represent pathological disorders (i. e. disease).

Indexed as

Diagnostic and Statistical Manual of Mental DisordersModels, TheoreticalNeeds AssessmentComputer SimulationDiagnosis, DifferentialGermanyHumansIncidenceInternational Classification of Functioning, Disability and HealthMental DisordersRisk Assessment

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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.