ArticleBMJ open2021
Protocol for a systematic review of economic evaluations of preoperative smoking cessation interventions for preventing surgical complications.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Racial Differences in Breast Cancer Treatment and Information Access.Journal of surgical oncology · 2026Article
- Protocol for a systematic review of reviews on training primary care providers in dermoscopy to detect skin cancers.BMJ open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe short-term economic benefit of embedding best practice tobacco dependence treatment (TDT) into healthcare services prior to surgery across different populations and jurisdictions is largely unknown. The aim of this systematic review is to summarise the cost-effectiveness of preoperative smoking cessation interventions for preventing surgical complications compared with usual care. The results will provide hospital managers, clinicians, healthcare professionals and policymakers with a critical summary of the economic evidence on providing TDT routinely before surgery, aiding the development and dissemination of unified, best practice guidelines, that is, implementation of article 14 of the WHO Framework Convention on Tobacco Control. METHODS AND ANALYSIS: A comprehensive search of peer-reviewed literature will be conducted from database inception until 23 June 2021 (Cochrane, Econlit, Embase, Health Technology Assessment, Medline Complete, Scopus). Published, English-language articles describing economic evaluations of preoperative smoking cessation interventions for preventing surgical complications will be included. One researcher will complete the searches and two researchers will independently screen results for eligible studies. Any disagreement will be resolved by the third researcher. A narrative summary of included studies will be provided. Study characteristics, economic evaluation methods and cost-effectiveness results will be extracted by one reviewer and descriptive analyses will be undertaken. A second reviewer will review data extracted for accuracy from 10% of the included studies. Reporting and methodological quality of the included studies will be evaluated independently by two reviewers using the Consolidated Health Economic Evaluation Reporting Standards statement and the Quality of Health Economic Studies Instrument checklist, respectively. ETHICS AND DISSEMINATION: This research does not require ethics approval because the study is a planned systematic review of published literature. Findings will be presented at health economic, public health and tobacco control conferences, published in a peer-reviewed journal and disseminated via social media. TRIAL REGISTRATION NUMBER: CRD42021257740.
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Registered trials
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.