Evidence map›Paper›PMID 24470633›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2014

A mobile-phone-based breath carbon monoxide meter to detect cigarette smoking.

Steven E Meredith, Andrew Robinson, Philip Erb, Claire A Spieler, Noah Klugman, Prabal Dutta, Jesse Dallery

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Efficacy of a Texting Program to Promote Cessation Among Pregnant Smokers: A Randomized Control Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Trial
  4. Craving to Quit: A Randomized Controlled Trial of Smartphone App-Based Mindfulness Training for Smoking Cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Exhaled Breath Analysis: From Laboratory Test to Wearable Sensing.IEEE reviews in biomedical engineering · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Remote Methods for Conducting Tobacco-Focused Clinical Trials.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Steven E MeredithDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD;
Andrew Robinson
Philip Erb
Claire A Spieler
Noah Klugman
Prabal Dutta
Jesse Dallery

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
NIDA NIH HHS P30 DA029926NIDA NIH HHS P30DA029926
6 · The paper itself

Abstract

introductionMobile phones hold considerable promise for delivering evidence-based smoking cessation interventions that require frequent and objective assessment of smoking status via breath carbon monoxide (Breath CO) measurement. However, there are currently no commercially available mobile-phone-based Breath CO meters. We developed a mobile-phone-based Breath CO meter prototype that attaches to and communicates with a smartphone through an audio port. We then evaluated the reliability and the validity of Breath CO measures collected with the mobile meter prototype and assessed the usability and acceptability of the meter.

methodsParticipants included 20 regular smokers (≥10 cigarettes/day), 20 light smokers (<10 cigarettes/day), and 20 nonsmokers. Expired air samples were collected 4 times from each participant: twice with the mobile meter and twice with a commercially available Breath CO meter.

resultsMeasures calculated by the mobile meter correlated strongly with measures calculated by the commercial meter (r = .96, p < .001). Additionally, the mobile meter accurately distinguished between smokers and nonsmokers. The area under the receiver-operating characteristic curve for the mobile meter was 94.7%, and the meter had a combined sensitivity and specificity of 1.86 at an abstinence threshold of ≤6 ppm. Responses on an acceptability survey indicated that smokers liked the meter and would be interested in using it during a quit attempt.

conclusionsThe results of our study suggest that a mobile-phone-based Breath CO meter is a reliable, valid, and acceptable device for distinguishing between smokers and nonsmokers.

Indexed as

Cell PhoneSmokingAdultBreath TestsCarbon MonoxideFemaleHumansMaleReproducibility of ResultsSensitivity and SpecificityCarbon Monoxide

Identifiers

PMID24470633
PMCPMC4031569

What OpenQuestion holds

Textmetadata
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.