Evidence map›Paper›PMID 18685838›Full record

ArticleEuropean journal of clinical pharmacology2008

The association between use of cardiovascular drugs and antidepressants: a nationwide register-based study.

Kristina Johnell, Johan Fastbom

Abstract read
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In one paragraph

Article in European journal of clinical pharmacology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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 at 1 institution in 1 country.

Kristina JohnellAging Research Center, Karolinska Institutet, Gävlegatan 16, 11330 Stockholm, Sweden. Kristina.Johnell@ki.se
Johan Fastbom
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate whether cardiovascular drug classes and specific beta-blockers are associated with antidepressant drug use in a large study population of older people.

methodsWe analyzed data from the Swedish Prescribed Drug Register from October-December 2005 for people aged 75 years and older (n = 732,230). Logistic regression analysis was used to study the association between the cardiovascular drugs and antidepressants, after adjustment for age, sex, and number of other dispensed drugs.

resultsAll the cardiovascular drug classes were negatively or not associated with use of any antidepressant, non-selective monoamine reuptake inhibitors, and SSRIs, after adjustment for age, sex, and number of other dispensed drugs. However, propranolol was associated with an increased use of any antidepressant, non-selective monoamine reuptake inhibitors, and SSRIs, after adjustment for age, sex, and number of other dispensed drugs. Atenolol was positively associated with non-selective monoamine reuptake inhibitors, although to a lesser extent than propranolol.

conclusionsNone of the cardiovascular drug classes were associated with increased antidepressant drug use, after adjustment for age, sex, and use of other drugs. However, when focusing specifically on beta-blockers, our results indicate that propranolol may be the beta-blocker most closely associated with use of antidepressants in the elderly.

Indexed as

AgedAged, 80 and overAntidepressive AgentsCardiovascular AgentsCross-Sectional StudiesDepressionDrug UtilizationFemaleHumansLogistic ModelsMalePropranololRegistriesAntidepressive AgentsCardiovascular AgentsPropranolol

Identifiers

PMID18685838
OpenAlexW2095109725

What OpenQuestion holds

Textmetadata
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Registered trials

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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.