Evidence map›Paper›PMID 27531211›Full record

ReviewDer Nervenarzt2016

[Late-onset depression : Pathophysiology, diagnostics and treatment].

S Notzon, J Alferink, V Arolt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Nervenarzt, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

3 authors at 1 institution in 1 country.

S NotzonKlinik für Psychiatrie und Psychotherapie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude A9, 48149, Münster, Deutschland. swantje.notzon@ukmuenster.de.
J AlferinkKlinik für Psychiatrie und Psychotherapie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude A9, 48149, Münster, Deutschland.
V AroltKlinik für Psychiatrie und Psychotherapie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude A9, 48149, Münster, Deutschland.
University Hospital Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Late-onset depression (LOD) is defined as depression manifesting for the first time in later life. Up to now, there has been no exact definition of the lower age limit for LOD. Psychopathological symptoms of LOD do not fundamentally differ from depression in other phases of life; however, cognitive deficits are typically more pronounced. The LOD is associated with an increased risk of developing dementia. Imaging studies show reduction in gray matter volume and white matter lesions caused by vascular diseases. The occurrence of depression with vascular lesions of the brain is also referred to as "vascular depression". The diagnostic procedure includes a detailed medical history and the observation of psychopathological changes, physical examination, laboratory tests, electroencephalograph (EEG), electrocardiograph (ECG) and magnetic resonance imaging (MRI) of the head and neuropsychological tests to measure cognitive deficits. Psychotherapy is an effective treatment option. Selective serotonin reuptake inhibitors are the first-line pharmacological therapy.

Indexed as

Diagnostic Techniques, NeurologicalAgedAged, 80 and overCombined Modality TherapyDepressionFemaleGeriatric AssessmentHumansLate Onset DisordersMaleMiddle AgedPhysical ExaminationPsychotherapySelective Serotonin Reuptake InhibitorsSelective Serotonin Reuptake InhibitorsDementiaElectroconvulsive therapyLithiumTreatment resistanceVascular depression

Identifiers

PMID27531211
OpenAlexW2514423324

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.