Evidence map›Paper›PMID 36107700›Full record

ArticleExperimental and clinical psychopharmacology2023

Biochemical validation of self-reported electronic nicotine delivery system and tobacco heaviness of use.

Merideth A Addicott, Erin L Sutfin, Lindsay M Reynolds, Eric C Donny, Eryn K Matich, Ping-Ching Hsu

Open access · hybridAbstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

6 authors at 2 institutions in 1 country.

Merideth A AddicottDepartment of Physiology and Pharmacology, Wake Forest School of Medicine.ORCID 0000-0003-1814-7994
Erin L SutfinDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine.
Lindsay M ReynoldsDepartment of Epidemiology and Prevention, Wake Forest School of Medicine.
Eric C DonnyDepartment of Physiology and Pharmacology, Wake Forest School of Medicine.
Eryn K MatichDepartment of Environmental and Occupational Health, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences.
Ping-Ching HsuDepartment of Environmental and Occupational Health, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences.
Wake Forest University · USUniversity of Arkansas for Medical Sciences · US

Funding

The Role o f Tetrahydrobiopterin (BH4) Bioavailability in Radiation-induced Skin InjuryP20GM109005 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN · 2015 to 2024
$21.1M
Research Support CoreP30DA012393 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOB, PEYTON, JONES, REESE T. · 1999 to 2024
$17.1M
NIDA NIH HHS P30 DA012393NIGMS NIH HHS P20 GM109005NIH HHS
6 · The paper itself

Abstract

Research on tobacco use disorder relies on a combination of self-reported use (e.g., cigarettes per day) and biochemical validation to quantify heaviness of use. However, electronic nicotine delivery system (ENDS) users may be unaware of how much they have vaped per day. The aim of this study was to test the relationship between self-reported heaviness of ENDS/tobacco use and nicotine biomarkers. Young adults (

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsBiomarkersHumansNicotineSelf ReportYoung AdultBiomarkersNicotine

Identifiers

PMID36107700
PMCPMC10184506
OpenAlexW4295901349

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.