Evidence map›Paper›PMID 29048187›Full record

Trial reportExperimental and clinical psychopharmacology2017

Electronic cigarette user plasma nicotine concentration, puff topography, heart rate, and subjective effects: Influence of liquid nicotine concentration and user experience.

Marzena Hiler, Alison Breland, Tory Spindle, Sarah Maloney, Thokozeni Lipato, Nareg Karaoghlanian, Alan Shihadeh, Alexa Lopez, Carolina Ramôa, Thomas Eissenberg

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Experimental and clinical psychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 3 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

104 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  10. Changes in Nicotine Dependence Among Smokers Using Electronic Cigarettes to Reduce Cigarette Smoking in a Randomized Controlled Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
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  16. The Impact of E-liquid Propylene Glycol and Vegetable Glycerin Ratio on Ratings of Subjective Effects, Reinforcement Value, and Use in Current Smokers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
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44 more citing papers are in PubMed but not listed here.

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

10 authors.

Marzena HilerCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University.
Alison BrelandCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University.
Tory SpindleCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University.
Sarah MaloneyCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University.
Thokozeni LipatoCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University.
Nareg KaraoghlanianDepartment of Mechanical Engineering, American University of Beirut.
Alan ShihadehCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University.
Alexa LopezCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University.
Carolina RamôaCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University.
Thomas EissenbergCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University.

Funding

Training and Education Core p270-287P50DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EISSENBERG, THOMAS EVAN · 2013 to 2017
$19.2M
National Institutes of Health; National Institute on Drug AbuseNIDA NIH HHS P50 DA036105
6 · The paper itself

Abstract

Electronic cigarette (ECIG) nicotine delivery and other effects may depend on liquid nicotine concentration and user experience. This study is the first to systematically examine the influence of ECIG liquid nicotine concentration and user experience on nicotine delivery, heart rate, puff topography, and subjective effects. Thirty-three ECIG-experienced individuals and 31 ECIG-naïve cigarette smokers completed 4 laboratory conditions consisting of 2, 10-puff bouts (30-sec interpuff interval) with a 3.3-V ECIG battery attached to a 1.5-Ω "cartomizer" (7.3 W) filled with 1 ml ECIG liquid. Conditions differed by liquid nicotine concentration: 0, 8, 18, or 36 mg/ml. Participants' plasma nicotine concentration was directly related to liquid nicotine concentration and dependent on user experience, with significantly higher mean plasma nicotine increases observed in ECIG-experienced individuals relative to ECIG-naïve smokers in each active nicotine condition. When using 36 mg/ml, mean plasma nicotine increase for ECIG-experienced individuals was 17.9 ng/ml (SD = 17.2) and 6.9 (SD = 7.1; p < .05) for ECIG-naïve individuals. Between-group differences were likely due to longer puffs taken by experienced ECIG users: collapsed across condition, mean puff duration was 5.6 sec (SD = 3.0) for ECIG-experienced and 2.9 (SD = 1.5) for ECIG-naïve individuals. ECIG use also suppressed nicotine/tobacco abstinence symptoms in both groups; the magnitude of abstinence symptom suppression depended on liquid nicotine concentration and user experience. These and other recent results suggest that policies intended to limit ECIG nicotine delivery will need to account for factors in addition to liquid nicotine concentration (e.g., device power and user behavior). (PsycINFO Database Record

Indexed as

Electronic Nicotine Delivery SystemsAdolescentAdultDouble-Blind MethodFemaleHeart RateHumansMaleMiddle AgedNicotineSmokersSmokingSubstance Withdrawal SyndromeYoung AdultNicotine

Identifiers

PMID29048187
PMCPMC5657238

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.