Nomogram to predict successful smoking cessation in a Chinese outpatient population
Introduction The study aimed to establish and internally validate a nomogram to predict successful smoking cessation in a Chinese outpatient population. Methods A total of 278 participants were included, and data were collected from March 2016 to December 2018. Predictors for successful smoking ces...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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European Publishing
2020-10-01
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| Series: | Tobacco Induced Diseases |
| Subjects: | |
| Online Access: | http://www.journalssystem.com/tid/Nomogram-to-predict-successful-smoking-cessation-in-a-Chinese-outpatient-population,127736,0,2.html |
| _version_ | 1819049450465656832 |
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| author | Ning Zhu<sup>#</sup> Shanhong Lin<sup>#</sup> Chao Cao Ning Xu Xiaopin Yu Xueqin Chen |
| author_facet | Ning Zhu<sup>#</sup> Shanhong Lin<sup>#</sup> Chao Cao Ning Xu Xiaopin Yu Xueqin Chen |
| author_sort | Ning Zhu<sup>#</sup> |
| collection | DOAJ |
| description | Introduction
The study aimed to establish and internally validate a nomogram to
predict successful smoking cessation in a Chinese outpatient population.
Methods
A total of 278 participants were included, and data were collected from
March 2016 to December 2018. Predictors for successful smoking cessation were
evaluated by 3-month sustained abstinence rates. Least absolute shrinkage and
selection operator (LASSO) regression was used to select variables for the model
to predict successful smoking cessation, and multivariable logistic regression
analysis was performed to establish a novel predictive model. The discriminatory
ability, calibration, and clinical usefulness of the nomogram were determined by
the concordance index (C-index), calibration plot, and decision curve analysis,
respectively. Internal validation with bootstrapping was performed.
Results
The nomogram included living with a smoker or experiencing workplace
smoking, number of outpatient department visits, reason for quitting tobacco, and
varenicline use. The nomogram demonstrated valuable predictive performance,
with a C-index of 0.816 and good calibration. A high C-index of 0.804 was
reached with interval validation. Decision curve analysis revealed that the
nomogram for predicting successful smoking cessation was clinically significant
when intervention was conducted at a successful cessation of smoking possibility
threshold of 19%.
Conclusions
This novel nomogram for successful smoking cessation can be
conveniently used to predict successful cessation of smoking in outpatients. |
| first_indexed | 2024-12-21T11:32:21Z |
| format | Article |
| id | doaj.art-e02b2485b11f4a1bb1657d77bc7287ac |
| institution | Directory Open Access Journal |
| issn | 1617-9625 |
| language | English |
| last_indexed | 2024-12-21T11:32:21Z |
| publishDate | 2020-10-01 |
| publisher | European Publishing |
| record_format | Article |
| series | Tobacco Induced Diseases |
| spelling | doaj.art-e02b2485b11f4a1bb1657d77bc7287ac2022-12-21T19:05:32ZengEuropean PublishingTobacco Induced Diseases1617-96252020-10-0118October11110.18332/tid/127736127736Nomogram to predict successful smoking cessation in a Chinese outpatient populationNing Zhu<sup>#</sup>0Shanhong Lin<sup>#</sup>1Chao Cao2Ning Xu3Xiaopin Yu4Xueqin Chen5Department of Respiratory and Critical Care Medicine, Ningbo First Hospital, Ningbo, ChinaDepartment of Ultrasound, Ningbo First Hospital, Ningbo, ChinaDepartment of Respiratory and Critical Care Medicine, Ningbo First Hospital, Ningbo, ChinaDepartment of Respiratory and Critical Care Medicine, Ningbo First Hospital, Ningbo, ChinaDepartment of Prevention and Health Care, Ningbo First Hospital, Ningbo, ChinaDepartment of Traditional Medicine, Ningbo First Hospital, Ningbo, ChinaIntroduction The study aimed to establish and internally validate a nomogram to predict successful smoking cessation in a Chinese outpatient population. Methods A total of 278 participants were included, and data were collected from March 2016 to December 2018. Predictors for successful smoking cessation were evaluated by 3-month sustained abstinence rates. Least absolute shrinkage and selection operator (LASSO) regression was used to select variables for the model to predict successful smoking cessation, and multivariable logistic regression analysis was performed to establish a novel predictive model. The discriminatory ability, calibration, and clinical usefulness of the nomogram were determined by the concordance index (C-index), calibration plot, and decision curve analysis, respectively. Internal validation with bootstrapping was performed. Results The nomogram included living with a smoker or experiencing workplace smoking, number of outpatient department visits, reason for quitting tobacco, and varenicline use. The nomogram demonstrated valuable predictive performance, with a C-index of 0.816 and good calibration. A high C-index of 0.804 was reached with interval validation. Decision curve analysis revealed that the nomogram for predicting successful smoking cessation was clinically significant when intervention was conducted at a successful cessation of smoking possibility threshold of 19%. Conclusions This novel nomogram for successful smoking cessation can be conveniently used to predict successful cessation of smoking in outpatients.http://www.journalssystem.com/tid/Nomogram-to-predict-successful-smoking-cessation-in-a-Chinese-outpatient-population,127736,0,2.htmlsmokingsmoking cessationpredictorsnomogram |
| spellingShingle | Ning Zhu<sup>#</sup> Shanhong Lin<sup>#</sup> Chao Cao Ning Xu Xiaopin Yu Xueqin Chen Nomogram to predict successful smoking cessation in a Chinese outpatient population Tobacco Induced Diseases smoking smoking cessation predictors nomogram |
| title | Nomogram to predict successful smoking cessation in a
Chinese outpatient population |
| title_full | Nomogram to predict successful smoking cessation in a
Chinese outpatient population |
| title_fullStr | Nomogram to predict successful smoking cessation in a
Chinese outpatient population |
| title_full_unstemmed | Nomogram to predict successful smoking cessation in a
Chinese outpatient population |
| title_short | Nomogram to predict successful smoking cessation in a
Chinese outpatient population |
| title_sort | nomogram to predict successful smoking cessation in a chinese outpatient population |
| topic | smoking smoking cessation predictors nomogram |
| url | http://www.journalssystem.com/tid/Nomogram-to-predict-successful-smoking-cessation-in-a-Chinese-outpatient-population,127736,0,2.html |
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