Evidence map›Paper›PMID 34244005›Full record

ArticleAmerican journal of preventive medicine2021

The Potential Impact of Widespread Cessation Treatment for Smokers With Depression.

Jamie Tam, Kenneth E Warner, Kara Zivin, Gemma M J Taylor, Rafael Meza

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Trial
  2. Acceptability of integrating smoking cessation treatment into routine care for people with mental illness: A qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2023
    Trial
  3. Article
  4. Article
  5. 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

5 authors.

Jamie TamDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut. Electronic address: jamie.tam@yale.edu.
Kenneth E WarnerDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Kara ZivinDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan; Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan; Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Gemma M J TaylorAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, United Kingdom.
Rafael MezaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan; Cancer Epidemiology and Prevention Program, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Research Project 3: Modeling the Impact of Tobacco Control Policies on Polytobacco Use and Associated Health DisparitiesU54CA229974 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Mendez Emilien · 2018 to 2026
$39.2M
Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment InterventionsU01CA253858 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2020 to 2025
$8.4M
Comparative Modeling of Lung Cancer Prevention and Control PoliciesU01CA199284 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2015 to 2019
$8.4M
Relationship between mental health coverage and outcomes for privately insured women with perinatal mood and anxiety disorders (PMAD)R01MH120124 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZIVIN, KARA · 2019 to 2022
$2.8M
Modeling Smoking and Depression Co-Morbidity and Treatment Interventions: a System Dynamics ApproachF31DA041083 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TAM, JAMIE PEARL · 2016 to 2017
$73k
Cancer Research UK C56067/A21330NCATS NIH HHS UL1 TR001863NCI NIH HHS U01 CA199284NCI NIH HHS U01 CA253858NCI NIH HHS U54 CA229974NIDA NIH HHS F31 DA041083NIMH NIH HHS R01 MH120124
6 · The paper itself

Abstract

introductionExperts recommend integrating smoking-cessation treatments within U.S. mental health settings, but the population health benefits of doing so have not been estimated. This study simulates the impact of widespread cessation treatment for patients with depression under best-case treatment and maximum potential cessation scenarios.

methodsCessation interventions were simulated for U.S. adult smokers seeing a health professional for depression from 2020 to 2100. Interventions included (1) Any Treatment (behavioral counseling, pharmacological, combination) and (2) Pharmacological Treatment (including counseling), combined with increased mental health service utilization each. These were compared with a maximum potential cessation scenario where all patients with major depression quit smoking. Analyses were conducted in 2016-2020.

resultsWidespread uptake of Any Treatment among patients with depression would avert 32,000 deaths and result in 138,000 life-years gained by 2100; Any Treatment combined with 100% mental health service utilization would result in 53,000 and 231,000, respectively. Pharmacological Treatment would avert 125,000 deaths, with 540,000 life-years gained. Pharmacological Treatment combined with 100% mental health service utilization would result in 203,000 deaths averted and 887,000 life-years gained. Health gains under best-case treatment scenarios represent modest fractions of those projected under maximum potential cessation scenarios at current mental health service utilization levels (835,000 deaths averted, 3.73 million life-years gained) and at 100% utilization (1.11 million deaths averted, 5.07 million life years gained).

conclusionsProviding smoking-cessation treatment to patients with depression and increasing mental health service utilization would reduce the toll of tobacco on this population. These gains would be considerably larger if cessation treatments were more effective.

Indexed as

SmokersSmoking CessationAdultDepressionHumansSmokingTobacco Use Cessation Devices

Identifiers

PMID34244005
PMCPMC8541898

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.