Observational studyThe Journal of clinical psychiatry2014
A naturalistic study of the association between antidepressant treatment and outcome of smoking cessation treatment.
Observational study in The Journal of clinical psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01721473 (Nicotinic Acetylcholine Receptor Density and Veteran Cigarette Smokers), which is not on this map. Cited by 3 papers.
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.
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.
Nicotinic Acetylcholine Receptor Density and Veteran Cigarette Smokers
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Combination Extended Smoking Cessation Treatment Plus Home Visits for Smokers With Schizophrenia: A Randomized Controlled Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017Trial
- The Effects of Citalopram and Thalamic Dopamine DPsychiatry journal · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
objectivePsychiatric, medical, and substance use comorbidities are highly prevalent among smokers, and many of these comorbidities have been found to be associated with reduced rate of success in clinical trials for smoking cessation. While much has been established about the best available treatments from these clinical trials, little is known about the effect of concomitant psychiatric medications on quit rates in smoking cessation programs. On the basis of results in populations with tobacco dependence and other substance use disorders, we hypothesized that smokers taking antidepressants would have a lower rate of quitting in an outpatient smoking cessation program.
methodWe performed a naturalistic chart review of veterans (N = 144) enrolled in the Veterans Affairs Greater Los Angeles Mental Health Clinic Smoking Cessation Program from March 2011 through July 2013, who met DSM-IV-TR criteria for nicotine dependence. The primary outcome was smoking cessation with treatment, as evidenced by a patient report of at least 1 week of abstinence and an exhaled carbon monoxide level of ≤ 6 ppm (if available) at the end of acute treatment, with comparators including concomitant psychotropic medication treatment, psychiatric and medical comorbidities, and the presence of a substance use disorder history. We utilized stepwise binary logistic regression as the main statistical technique.
resultsWe found that current antidepressant treatment (P = .003) and history of substance use disorder (P = .01) (particularly cocaine [P = .02]) were associated with a lower rate of quitting smoking. Furthermore, the association between antidepressant treatment and reduced rate of smoking cessation was primarily seen in patients with a history of substance use disorder (P = .003).
conclusionsWhile preliminary, these results suggest an important clinical interaction meriting future study. If these findings are confirmed, clinicians may want to consider the risk of reduced ability to quit smoking in patients with a history of substance use disorder who are taking antidepressants.
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Registered trials
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.