Evidence map›Paper›PMID 31212391›Full record

ArticlePsycho-oncology2019

Does smoking abstinence predict cancer patients' quality of life over time?

Úrsula Martínez, Karen O Brandon, Steven K Sutton, Thomas H Brandon, Vani N Simmons

Open access · greenAbstract read
In one paragraph

Article in Psycho-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. A scoping review of pain and tobacco use among cancer survivors.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  3. Article
  4. Patterns of patient-reported outcomes (PROs) in a diverse group of gynecologic cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  5. Oncologists' communication about tobacco and alcohol use during treatment for esophagogastric cancer: a qualitative observational study of simulated consultations.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Associations Between Smoking Status and Physical and Mental Health-Related Quality of Life Among Individuals With Mobility Impairments.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
    Article
  13. Review
  14. 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 at 2 institutions in 1 country.

Úrsula MartínezDepartment of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0002-4212-5851
Karen O BrandonDepartment of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center, Tampa, Florida.
Steven K SuttonDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, Florida.
Thomas H BrandonDepartment of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center, Tampa, Florida.
Vani N SimmonsDepartment of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center, Tampa, Florida.
University of South Florida · USMoffitt Cancer Center · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Smoking Relapse-Prevention Intervention for Cancer PatientsR01CA154596 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SIMMONS, VANI N · 2011 to 2015
$2.3M
NCI NIH HHS P30 CA076292NCI NIH HHS P30CA76292NCI NIH HHS R01 CA15NCI NIH HHS R01 CA154596
6 · The paper itself

Abstract

objectiveSmoking cessation improves quality of life (QOL) in the general population. However, there is limited information on the role of smoking status on QOL among cancer patients. Moreover, previous studies tended to analyze smoking status dichotomously and at a single point in time, potentially reducing the strength of the relation between smoking cessation and QOL. This study examined the association of smoking abstinence and QOL over time, including depression, pain, and fatigue in patients with a wide variety of cancers.

methodsParticipants were 332 cancer patients (eg, gynecologic, breast, thoracic, head and neck, and genitourinary) who had been abstinent for at least 24 hours. Days abstinent and QOL were assessed at baseline and 2, 6, and 12 months later. Latent growth curve models examined if days abstinent was associated with QOL at each assessment. Baseline demographics (eg, sex and income) and smoking history variables (eg, nicotine dependence) were used as time-invariant covariates.

resultsThe final model for each QOL component had good-to-excellent fit. More days abstinent was associated with lower depression at all follow-ups and with lower fatigue at 12 months but was not associated with pain.

conclusionsQOL was better among patients who quit smoking for longer periods. Findings suggest different timelines, with smoking abstinence most immediately associated with lower depression, followed by lower fatigue. Although pain decreased over time, it was not associated with length of smoking abstinence. Results reinforce the relationship between sustained smoking cessation and QOL, which should be communicated to patients.

Indexed as

Quality of LifeAdultCancer PainDepressionFatigueFemaleHumansMaleMiddle AgedNeoplasmsRandomized Controlled Trials as TopicSmokingSmoking CessationTime FactorsUnited Statescanceroncologyquality of lifesmokingsmoking abstinence

Identifiers

PMID31212391
PMCPMC6691965
OpenAlexW2951568283

What OpenQuestion holds

Textmetadata
LicenceTDM
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.