Evidence map›Paper›PMID 28551588›Full record

ArticleAddictive behaviors2017

Feasibility of biochemical verification in a web-based smoking cessation study.

Sarah Cha, Ollie Ganz, Amy M Cohn, Sarah J Ehlke, Amanda L Graham

Abstract readEvaluation Study
In one paragraph

Article in Addictive behaviors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. A Scoping Review and Meta-analysis of the Use of Remote Biochemical Verification Methods of Smoking Status in Tobacco Research.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Pooled it
  2. Mobile Chat Messaging for Preventing Smoking Relapse Amid the COVID-19 Pandemic: A Pilot Randomized Controlled Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
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  9. Article
  10. Remote Carbon Monoxide Capture via REDCap: Evaluation of an Integrated Mobile Application.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
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  17. Remote Methods for Conducting Tobacco-Focused Clinical Trials.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Review
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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 1 institution in 1 country.

Sarah ChaSchroeder Institute for Tobacco Research & Policy Studies, Truth Initiative, Washington, DC, United States. Electronic address: scha@truthinitiative.org.
Ollie GanzSchroeder Institute for Tobacco Research & Policy Studies, Truth Initiative, Washington, DC, United States.
Amy M CohnSchroeder Institute for Tobacco Research & Policy Studies, Truth Initiative, Washington, DC, United States; Department of Oncology, Georgetown University Medical Center, Washington, DC, United States.
Sarah J EhlkeSchroeder Institute for Tobacco Research & Policy Studies, Truth Initiative, Washington, DC, United States.
Amanda L GrahamSchroeder Institute for Tobacco Research & Policy Studies, Truth Initiative, Washington, DC, United States; Department of Oncology, Georgetown University Medical Center, Washington, DC, United States.
American Legacy Foundation · US

Funding

Improving Adherence to Web-based Cessation Programs: A Social Network ApproachR01CA155489 · NCI · TRUTH INITIATIVE FOUNDATION · PI GRAHAM, AMANDA L · 2011 to 2015
$2.6M
NCI NIH HHS R01 CA155489
6 · The paper itself

Abstract

BACKGROUND AND

aimsCogent arguments have been made against the need for biochemical verification in population-based studies with low-demand characteristics. Despite this fact, studies involving digital interventions (low-demand) are often required in peer review to report biochemically verified abstinence. To address this discrepancy, we examined the feasibility and costs of biochemical verification in a web-based study conducted with a national sample.

methodsParticipants were 600U.S. adult current smokers who registered on a web-based smoking cessation program and completed surveys at baseline and 3months. Saliva sampling kits were sent to participants who reported 7-day abstinence at 3months, and analyzed for cotinine.

resultsThe response rate at 3-months was 41.2% (n=247): 93 participants reported 7-day abstinence (38%) and were mailed a saliva kit (71% returned). The discordance rate was 36.4%. Participants with discordant responses were more likely to report 3-month use of nicotine replacement therapy or e-cigarettes than those with concordant responses (79.2% vs. 45.2%, p=0.007). The total cost of saliva sampling was $8280 ($125/sample).

conclusionsBiochemical verification was both time- and cost-intensive, and yielded a relatively small number of samples due to low response rates and use of other nicotine products during the follow-up period. There was a high rate of discordance of self-reported abstinence and saliva testing. Costs for data collection may be prohibitive for studies with large sample sizes or limited budgets. Our findings echo previous statements that biochemical verification is not necessary in population-based studies, and add evidence specific to technology-based studies.

Indexed as

Cigarette SmokingInternetAdolescentAdultBiomarkersCosts and Cost AnalysisCotinineFeasibility StudiesFemaleHumansMaleMiddle AgedMotivationRecurrenceSalivaSmoking CessationBiomarkersCotinineBiochemical verificationCotinineInternetSmoking cessation

Identifiers

PMID28551588
PMCPMC5542679
OpenAlexW2617998149

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.