Trial reportBMC public health2010
Cluster randomized trial in smoking cessation with intensive advice in diabetic patients in primary care. ITADI Study.
Trial report in BMC public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00954967 (Community Intervention Trial for Smoking Cessation With Intensive Advice in Diabetic Patients in Primary Health Care), which is not on this map. Cited by 5 papers, 2 of them syntheses that pooled 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.
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.
Community Intervention Trial for Smoking Cessation With Intensive Advice in Diabetic Patients in Primary Health Care
Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- Strategies to improve smoking cessation rates in primary care.The Cochrane database of systematic reviews · 2021Pooled it
- Combined pharmacotherapy and behavioural interventions for smoking cessation.The Cochrane database of systematic reviews · 2016Pooled it
- Effectiveness of an intensive E-mail based intervention in smoking cessation (TABATIC study): study protocol for a randomized controlled trial.BMC public health · 2013Trial
- Effectiveness of intensive stand-alone smoking cessation interventions for individuals with diabetes: A systematic review and intervention component analysis.Tobacco induced diseases · 2023Review
- Sample Size Calculation for Count Outcomes in Cluster Randomization Trials with Varying Cluster Sizes.Communications in statistics: theory and methods · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is a priority to achieve smoking cessation in diabetic smokers, given that this is a group of patients with elevated cardiovascular risk. Furthermore, tobacco has a multiplying effect on micro and macro vascular complications. Smoking abstinence rates increase as the intensity of the intervention, length of the intervention and number and diversity of contacts with the healthcare professional during the intervention increases. However, there are few published studies about smoking cessation in diabetics in primary care, a level of healthcare that plays an essential role in these patients. Therefore, the aim of the present study is to evaluate the effectiveness of an intensive smoking cessation intervention in diabetic patients in primary care. METHODS/
designCluster randomized trial, controlled and multicentric. Randomization unit: Primary Care Team. STUDY POPULATION: 546 diabetic smokers older than 14 years of age whose disease is controlled by one of the primary care teams in the study. OUTCOME MEASURES: Continuous tobacco abstinence (a person who has not smoked for at least six months and with a CO level of less than 6 ppm measured by a cooximeter) , evolution in the Prochaska and DiClemente's Transtheoretical Model of Change, number of cigarettes/day, length of the visit. Point of assessment: one- year post- inclusion in the study.
interventionBrief motivational interview for diabetic smokers at the pre-contemplation and contemplation stage, intensive motivational interview with pharmacotherapy for diabetic smokers in the preparation-action stage and reinforcing intevention in the maintenance stage. STATISTICAL ANALYSIS: A descriptive analysis of all variables will be done, as well as a multilevel logistic regression and a Poisson regression. All analyses will be done with an intention to treatment basis and will be fitted for potential confounding factors and variables of clinical importance. Statistical packages: SPSS15, STATA10 y HLM6. DISCUSSION: The present study will try to describe the profile of a diabetic smoker who receives the most benefit from an intensive intervention in primary care. The results will be useful for primary care professionals in their usual clinical practice.
trial registrationClinical Trials.gov Identifier: NCT00954967.
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