Evidence map›Paper›PMID 28639106›Full record

ArticleJournal of behavioral medicine2017

Time to selected quit date and subsequent rates of sustained smoking abstinence.

George L Anesi, Scott D Halpern, Michael O Harhay, Kevin G Volpp, Kathryn Saulsgiver

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of behavioral medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

George L AnesiDivision of Pulmonary, Allergy, and Critical Care, Hospital of the University of Pennsylvania, 3600 Spruce Street, Gates Building, Room GA 5044, Philadelphia, PA, 19104, USA. george.anesi@uphs.upenn.edu.
Scott D HalpernDivision of Pulmonary, Allergy, and Critical Care, Hospital of the University of Pennsylvania, 3600 Spruce Street, Gates Building, Room GA 5044, Philadelphia, PA, 19104, USA.
Michael O HarhayDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Kevin G VolppLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
Kathryn SaulsgiverDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.

Funding

Training in Critical Care Health Policy ResearchT32HL098054 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Scott D Halpern · 2010 to 2026
$8.2M
Comparative Efficacy, Acceptance and Effectiveness of Health Incentive StructuresR01CA159932 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HALPERN, SCOTT D · 2010 to 2014
$3.0M
Methods to improve the detection of treatment effects in ARDS clinical trialsF31HL127947 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HARHAY, MICHAEL OSCAR · 2015 to 2016
$71k
National Institutes of Health F31HL127947National Institutes of Health R01CA159932National Institutes of Health T32HL098054NCI NIH HHS R01 CA159932NHLBI NIH HHS F31 HL127947NHLBI NIH HHS T32 HL098054
6 · The paper itself

Abstract

In efforts to combat tobacco dependence, most smoking cessation programs offer individuals who smoke the choice of a target quit date. However, it is uncertain whether the time to the selected quit date is associated with participants' chances of achieving sustained abstinence. In a pre-specified secondary analysis of a randomized clinical trial of four financial-incentive programs or usual care to encourage smoking cessation (Halpern et al. in N Engl J Med 372(22):2108-2117, doi: 10.1056/NEJMoa1414293 , 2015), study participants were instructed to select a quit date between 0 and 90 days from enrollment. Among those who selected a quit date and provided complete baseline data (n = 1848), we used multivariable logistic regression to evaluate the association of the time to the selected quit date with 6- and 12-month biochemically-confirmed abstinence rates. In the fully adjusted model, the probability of being abstinent at 6 months if the participant selected a quit date in weeks 1, 5, 10, and 13 were 39.6, 22.6, 10.9, and 4.3%, respectively.

Indexed as

RewardAdultFemaleHumansLogistic ModelsMaleMotivationSmokingSmoking CessationSmoking PreventionSocial SupportTime FactorsQuit dateReadiness-to-quitSmoking cessationStage-of-changeSustained abstinenceTobacco dependence

Identifiers

PMID28639106
PMCPMC6476186

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.