Evidence map›Paper›PMID 32939356›Full record

ArticleOpen forum infectious diseases2020

GABAergic but not Antidepressant Medications Increase Risk for

Falak Lalani, Eric H Young, Rupesh M Panchal, Kelly R Reveles

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2020. 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
0.1field-weighted citation impact, top 53% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Frontiers in neuroscience · 2022
    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 at 2 institutions in 1 country.

Falak LalaniCollege of Pharmacy, The University of Texas at Austin, Austin, Texas, USA.
Eric H YoungCollege of Pharmacy, The University of Texas at Austin, Austin, Texas, USA.
Rupesh M PanchalCollege of Pharmacy, The University of Texas at Austin, Austin, Texas, USA.
Kelly R RevelesCollege of Pharmacy, The University of Texas at Austin, Austin, Texas, USA.
The University of Texas Health Science Center at San Antonio · USThe University of Texas at Austin · US

Funding

San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
NIA NIH HHS P30 AG044271
6 · The paper itself

Abstract

background

methodsThis was a retrospective case-control study of patients seen in Veterans Health Administration facilities from October 2002 to September 2014. CDI and non-CDI control patients were propensity score matched 1:1 using a maximum caliper of 0.0001. Antidepressant and GABAergic medication use 90 days before cohort inclusion were analyzed for CDI association using bivariable and multivariable logistic regression models.

resultsA total of 85 831 patients were included, and 9287 CDI and 9287 control patients were propensity score matched. Antidepressant use overall was not significantly associated with CDI risk (odds ratio [OR], 1.05; 95% CI, 0.98-1.12), although GABAergic medication use was associated with increased risk (OR, 1.81; 95% CI, 1.70-1.92). In multivariable models of individual medications/classes, benzodiazepines had the strongest CDI association (OR, 1.91; 95% CI, 1.77-2.07). SSRIs (OR, 0.88; 95% CI, 0.81-0.95) and bupropion (OR, 0.67; 95% CI, 0.57-0.78) were negatively associated with CDI.

conclusionsIn this national study of veterans, GABAergic medication use was a positive predictor of CDI risk, though antidepressant use was not. Further research is needed to understand biological mechanisms, and confirmatory studies are needed to validate these findings.

Indexed as

antidepressantsClostridioides difficile infection riskGABA modulators

Identifiers

PMID32939356
PMCPMC7486948
OpenAlexW3049740210

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.