Evidence map›Paper›PMID 9663515›Full record

ArticleEuropean journal of epidemiology1998

A study of familial aggregation of depression, dementia and Parkinson's disease.

S Fahim, C M van Duijn, F M Baker, L Launer, M M Breteler, W J Schudel, A Hofman

Abstract read
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In one paragraph

Article in European journal of epidemiology, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 32 citations in OpenAlex.

  1. Familial risk of postpartum depression.Acta psychiatrica Scandinavica · 2022
    Article
  2. 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

7 authors at 1 institution in 1 country.

S FahimDepartment of Epidemiology & Biostatistics, Erasmus University Medical School, Rotterdam, The Netherlands.
C M van Duijn
F M Baker
L Launer
M M Breteler
W J Schudel
A Hofman
University of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is often accompanied by other disorders including Alzheimer's disease and Parkinson's disease. We studied the familial aggregation of these disorders in order to examine the possibility of a shared genetic origin. In a population-based study of 6596 subjects, we studied the association of self-reported depression, which required treatment by a psychiatrist, to family history of psychiatric disease, dementia, and Parkinson's disease. A family history of psychiatric disease was significantly associated with overall depression as well as with unipolar (n = 303 patients) and bipolar (n = 27 patients) depression. The risk of unipolar depression was associated with the presence of two or more demented individuals among their first degree relatives (e.g. parents, siblings and children). Since there was no evidence for familial aggregation in subjects with only one demented relative, our study suggests that unipolar depression may be associated specifically to a strongly familial, form of dementia. The risk of bipolar depression was increased for those with one or more relatives with dementia and, perhaps, for those with relatives with Parkinson's disease. The familial aggregation of depression with dementia and perhaps Parkinson's disease suggests that there may be shared susceptibility gene(s) underlying these diseases. Our study indicates further that there may be differences in the genetic etiology between unipolar and bipolar depression.

Indexed as

Family HealthAgedAged, 80 and overBipolar DisorderCohort StudiesConfidence IntervalsDementiaDepressionDepressive DisorderFemaleHealth SurveysHumansLogistic ModelsMaleMental DisordersMiddle Aged

Identifiers

PMID9663515
OpenAlexW1592908816

What OpenQuestion holds

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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.