Evidence map›Paper›PMID 25023511›Full record

ReviewCurrent psychiatry reports2014

Current understanding of the neurobiology and longitudinal course of geriatric depression.

Sara L Weisenbach, Anand Kumar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. The Role of State Versus Trait Anxiety on Cognition in Older Adults With Major Depressive Disorder.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Observational
  2. Review
  3. Review
  4. Article
  5. Stopping Cognitive Decline in Patients With Late-Life Depression: A New Front in the Fight Against Dementia.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2018
    Article
  6. Article
  7. Editorial Comment: Stress and Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2017
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
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

2 authors.

Sara L WeisenbachDepartment of Psychiatry, University of Illinois at Chicago, 1747 W. Roosevelt Rd., Suite 155, Chicago, IL, 60607, USA, sweisenbach@psych.uic.edu.
Anand Kumar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Late life depression is a complex disease associated with a number of contributing neurobiological factors, including cerebrovascular disease, neurodegeneration, and inflammation, which also contribute to its longitudinal prognosis and course. These factors create a context in which the brain is more vulnerable to the impact of stress, and thus, to depression. At the same time, some individuals are protected from late life depression and its consequences, even in the face of neurobiological vulnerability, through benefitting from one or more attributes associated with resilience, including social support, engagement in physical and cognitive activities, and brain reserve. Enhanced understanding of how neurobiological and environmental factors interact in predicting vulnerability and resilience is needed to predict onset and course of depression in late life and develop more effective interventions.

Indexed as

NeurobiologyAge of OnsetCognitionDementia, VascularDepressive DisorderHumansLife StyleLongitudinal StudiesNeurodegenerative DiseasesRisk FactorsSocial Support

Identifiers

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.