Evidence map›Paper›PMID 25089930›Full record

ArticleExperimental and clinical psychopharmacology2014

Effects of sequential fluoxetine and gender on prequit depressive symptoms, affect, craving, and quit day abstinence in smokers with elevated depressive symptoms: a growth curve modeling approach.

Haruka Minami, Christopher W Kahler, Erika Litvin Bloom, Mark A Prince, Ana M Abrantes, David R Strong, Raymond Niaura, Ivan W Miller, Kathleen M Palm Reed, Lawrence H Price and 1 more

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2014. 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
–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

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

  1. Antidepressants for smoking cessation.The Cochrane database of systematic reviews · 2020
    Pooled it
  2. Antidepressants for smoking cessation.The Cochrane database of systematic reviews · 2023
    Review
  3. Review
  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

11 authors.

Haruka MinamiDepartment of Psychiatry and Human Behavior, Butler Hospital/Alpert Medical School of Brown University.
Christopher W KahlerCenter for Alcohol and Addiction Studies, Brown University School of Public Health.
Erika Litvin BloomDepartment of Psychiatry and Human Behavior, Butler Hospital/Alpert Medical School of Brown University.
Mark A PrinceDepartment of Psychiatry and Human Behavior, Butler Hospital/Alpert Medical School of Brown University.
Ana M AbrantesDepartment of Psychiatry and Human Behavior, Butler Hospital/Alpert Medical School of Brown University.
David R StrongDepartment of Family and Preventive Medicine, University of California, San Diego.
Raymond NiauraSchroeder Institute, American Legacy Foundation.
Ivan W MillerDepartment of Psychiatry and Human Behavior, Butler Hospital/Alpert Medical School of Brown University.
Kathleen M Palm ReedDepartment of Psychology, Clark University.
Lawrence H PriceDepartment of Psychiatry and Human Behavior, Butler Hospital/Alpert Medical School of Brown University.
Richard A BrownDepartment of Psychiatry and Human Behavior, Butler Hospital/Alpert Medical School of Brown University.

Funding

Sequential Use of Fluoxetine for Smokers with Elevated Depressive SymptomsR01DA023190 · NIDA · BUTLER HOSPITAL (PROVIDENCE, RI) · PI BROWN, RICHARD A · 2007 to 2011
$2.3M
NIDA NIH HHS 1 R01 DA023190NIDA NIH HHS R01 DA023190
6 · The paper itself

Abstract

Although the important roles of postquit affect and withdrawal symptoms in the process of smoking cessation have been well established, little is known about the relations between prequit affective trajectories and cessation outcome on the target quit date (TQD). This study examined whether a 16-week course of fluoxetine initiated 8 weeks prequit ("sequential" fluoxetine) improved TQD abstinence relative to placebo through its effects on prequit depressive symptoms, affect (withdrawal-relevant negative affect, general negative affect, and positive affect), and craving to smoke among 206 smokers with elevated depressed symptoms. The moderating effects of gender were also examined. In total, 83 smokers (40%) failed to achieve abstinence on TQD, with no difference between treatment conditions or gender. Overall structural equation models showed that fluoxetine had significant indirect effects on TQD abstinence through changes in prequit withdrawal-relevant negative affect and craving, but not depressive symptoms. However, multigroup analyses revealed gender differences. Sequential fluoxetine reduced prequit depressive symptoms, withdrawal-relevant negative affect, and craving only among women. Reduction in prequit depressive symptoms and craving among women, and withdrawal-relevant negative affect among men was associated with TQD abstinence. Moreover, exploratory analysis showed negative trend-level indirect effects of fluoxetine on TQD abstinence via increased side effects, regardless of gender. This study demonstrated the importance of considering gender when examining treatment efficacy. Identifying ways to further reduce prequit depressive symptoms and craving for women and withdrawal-relevant negative affect for men whereas alleviating side effects may help smokers with elevated depressed symptoms achieve the first smoking cessation milestone.

Indexed as

CravingDepressive DisorderSex CharacteristicsAdolescentAdultAgedAntidepressive Agents, Second-GenerationFemaleFluoxetineHumansMaleMiddle AgedPsychiatric Status Rating ScalesSmokingSmoking PreventionSubstance Withdrawal SyndromeAntidepressive Agents, Second-GenerationFluoxetine

Identifiers

PMID25089930
PMCPMC4428342

What OpenQuestion holds

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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.