Evidence map›Paper›PMID 36038883›Full record

Trial reportTrials2022

Preoperative smoking cessation program in patients undergoing intermediate to high-risk surgery: a randomized, single-blinded, controlled, superiority trial.

Christian D Fankhauser, Andres Affentranger, Beatrice Cortonesi, Urs Jeker, Markus Gass, Fabrizio Minervini, Georg Jung, Corina Christmann, Christine Brambs, Milo A Puhan and 1 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled TrialEquivalence Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05192837 (Preoperative Smoking Cessation Program in Patients Undergoing Intermediate to High-risk Surgery), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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.

NCT05192837 naterminatednot on this map

Preoperative Smoking Cessation Program in Patients Undergoing Intermediate to High-risk Surgery: a Randomized, Single-blinded, Controlled Trial

TypeinterventionalSponsorLuzerner KantonsspitalRan2022 to 2025Enrolled251ConditionsSmoking Cessation, Smoking Reduction, Surgery--Complications, SurgeryArmsIntensive preoperative smoking cessation counselling
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. 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

11 authors at 2 institutions in 2 countries.

Christian D FankhauserEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Andres AffentrangerEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Beatrice CortonesiEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Urs JekerUniversity of Lucerne, Lucerne, Switzerland.
Markus GassUniversity of Lucerne, Lucerne, Switzerland.
Fabrizio MinerviniUniversity of Lucerne, Lucerne, Switzerland.
Georg JungUniversity of Lucerne, Lucerne, Switzerland.
Corina ChristmannUniversity of Lucerne, Lucerne, Switzerland.
Christine BrambsUniversity of Lucerne, Lucerne, Switzerland.
Milo A PuhanEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Ulrike HeldEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland. ulrike.held@uzh.ch.ORCID http://orcid.org/0000-0003-3105-5840
University of Lucerne · CHUniversity of Zurich · CH

Funding

Krebsliga Schweiz HSR-5217-11-2020
6 · The paper itself

Abstract

backgroundAt present, effectively implementing smoking cessation programs in the health care system constitutes a major challenge. A unique opportunity to initiate smoking cessation focuses on smokers scheduled for surgery. These patients are not only highly motivated to quit smoking but also likely to benefit from a reduction in postoperative complications which may translate into a decrease of costs. Nevertheless, surgical patients are not routinely informed about the benefits of preoperative smoking cessation. Potential reasons for this missed opportunity may be the lack of time and training of surgeons and anaesthesiologists. We therefore aim to analyse the impact of a preoperative high-intensity smoking cessation intervention on surgical complications up to a 90-day postoperative period in patients of various surgical disciplines. The hypothesis is that a preoperative smoking cessation program improves outcomes in smokers undergoing intermediate to high-risk surgery.

methodsThe present study is a single-centre, randomized trial with two parallel groups of smokers scheduled for surgery comparing surgery alone and surgery with preoperative smoking cessation. We plan to randomize 251 patients. The primary objective is to compare complications between patients with an institutional multifaceted smoking cessation intervention starting 4 weeks before surgery compared to patients in the advice-only group (control group) within a 90-day postoperative period. The primary endpoint is the Comprehensive Complication Index (CCI®) within 90 days of surgery. Secondary outcomes include the length of hospital stay, cost of care, quality of life, smoking abstinence, and reduction in nicotine consumption. DISCUSSION: The hypothesis is that a preoperative smoking cessation program improves outcomes in smokers undergoing surgery.

trial registrationBASEC #2021-02004; ClinicalTrials.gov: NCT05192837 . Registered on January 14, 2022.

Indexed as

Smoking CessationDelivery of Health CareHumansNicotineQuality of LifeSmokingNicotineComplicationsRandomized controlled trialSmoking cessationSurgery

Identifiers

PMID36038883
PMCPMC9422094
OpenAlexW4293678619

What OpenQuestion holds

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LicenceCC BY
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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.