Evidence map›Paper›PMID 25204831›Full record

ArticleDer Nervenarzt2014

[Predictive factors of depression and its therapy].

H Himmerich, E Kohls, U Hegerl, C Rummel-Kluge

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Der Nervenarzt, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Diet, Obesity, and Depression: A Systematic Review.Journal of personalized medicine · 2021
    Review
  2. Review
  3. Review
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.

H HimmerichKlinik und Poliklinik für Psychiatrie und Psychotherapie, Universität Leipzig, Forschungszentrum der Stiftung Deutsche Depressionshilfe, Semmelweisstr. 10, 04103, Leipzig, Deutschland.
E Kohls
U Hegerl
C Rummel-Kluge

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictive factors of for the occurrence of depressive episodes include psychosocial and biological risk factors. These factors reflect the heterogeneity and complexity of the disease. They can identify groups that would benefit from preventive measures and provide indications for suitable preventive strategies. In recent decades considerable scientific effort, for example in the field of psychiatric genetics, has been undertaken to identify predictive factors for individual antidepressant therapy response and as an aid for individual treatment decisions. However, no clinically usable conclusions could yet be drawn from the respective findings. In practice clinical factors, such as symptom cluster of the depressive disorder and specific properties of the antidepressant, individual factors and contextual factors, such as the type of treatment facility, decision support and economic aspects, are factors influencing the choice of a specific antidepressant. Early clinical improvement under antidepressant medication in the first 2 weeks of treatment is one of the best predictors for the long-term treatment outcome in patients with major depressive disorder.

Indexed as

Neuropsychological TestsAntidepressive AgentsCombined Modality TherapyHumansIncidencePrognosisPsychotherapyPsychotic DisordersRisk AssessmentAntidepressive Agents

Identifiers

What OpenQuestion holds

Textmetadata
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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.