Literature DB >> 34907074

Comparative efficacy and safety of transurethral laser surgery with holmium laser, KTP laser, 2-micron laser or thulium laser for the treatment of non-muscle invasive bladder carcinoma: a protocol of network meta-analysis.

Jinfeng Yu1, Junbiao Zheng2.   

Abstract

INTRODUCTION: The potential of transurethral laser surgery in treating non-muscle invasive bladder cancer (NMIBC) has been confirmed, however which types of lasers may be preferentially prescribed remains a debate. The aim of this network meta-analysis is to investigate the comparative efficacy and safety of transurethral laser surgery with four common types of laser including holmium laser, potassium titanylphosphate (KTP) laser, 2-micron laser or thulium laser for the treatment of NMIBC. METHODS AND ANALYSIS: A systematic search will be conducted to search all potentially eligible randomised controlled trials comparing different transurethral laser surgeries with each other or with standard transurethral resection among patients with NMIBC in PubMed, Embase, the Cochrane library, China National Knowledge Infrastructure, Wanfang database and Chongqing VIP from their inception until 31 May 2021. Two reviewers will be asked to independently select eligible studies, and assess the risk of bias of individual study with Cochrane risk of bias assessment tool. A random-effects network meta-analysis based on Markov chain Monte Carlo method will be carried out. Ranking probabilities will be considered to rank all laser types. Quantitative analysis will be carried out by using WinBUGS V.1.4.3. ETHICS AND DISSEMINATION: Ethical approval is not required because this is a network meta-analysis of published data. We will submit all findings to some conferences for preliminary communication and to a peer-reviewed journal for publication. TRIAL REGISTRATION NUMBER: 10.17605/OSF.IO/TD9MW. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  adult urology; bladder disorders; kidney & urinary tract disorders; urinary tract infections; urological tumours

Mesh:

Substances:

Year:  2021        PMID: 34907074      PMCID: PMC8671993          DOI: 10.1136/bmjopen-2021-055840

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


To the best of the authors’ knowledge, this is the first network meta-analysis of investigating comparative efficacy and safety of four common types of lasers in treating non-muscle invasive bladder carcinoma. This study may provide the best possible type of laser option and reliable evidence-based medicine for the clinical treatment of non-muscle invasive bladder carcinoma. This network meta-analysis also has some limitations, such as publication bias, clinical heterogeneity and selection bias.

Introduction

Bladder cancer is one of the most common urological malignant tumour, with an estimated 0.544 million new cases and 0.212 million new death cases worldwide in 2020.1 Bladder cancer can be classified into muscle invasive bladder cancer (MIBC) and non-muscle invasive bladder cancer (NMIBC), and NMIBC accounts for more than 70% bladder cancer.2 Transurethral resection followed by chemotherapy has been regarded as the standard regime for the treatment of NMIBC;3 4 however, this technique also faced some technical challenges (eg, difficult control of cutting depth) and also caused several severe complications (eg, obturator nerve reflex, bladder perforation and iliac vascular injury)5 6 although it has been developed maturely. Meanwhile, it has been reported that transurethral resection was also associated with an increased risk of recurrence owing to the nature of piecemeal resection.7 It is therefore essential to explore novel treatment regimes.3 It is exciting that, as the laser technology develops, the transurethral laser surgery has been developed and then widely used in clinically treating NMIBC in recent years, with promising effects and safety.8 9 Several original studies have investigated the comparative efficacy and safety of transurethral laser surgery and standard transurethral resection,10–13 and more importantly, two meta-analyses14 15 have been performed to establish the clinical value of transurethral laser surgery in treating NMIBC. However, several kind of lasers including holmium laser, potassium titanylphosphate (KTP) laser, 2-micron laser and thulium laser have been found to be useful in transurethral laser therapy for NMIBC,16 and the possible associations of these four types of lasers are displayed in figure 1. Although, meta-analysis performed by Xu and colleagues separately investigated the comparative efficacy and safety between different transurethral laser surgeries and standard transurethral resection through performing subgroup analysis,15 it remains unclear which types of laser should be preferentially selected owing to the nature of conventional direct meta-analysis.17
Figure 1

Possible associations of four types of lasers. HL, holmium laser; KTP, potassium titanylphosphate laser; ML, 2-micron laser; TL, thulium laser.

Possible associations of four types of lasers. HL, holmium laser; KTP, potassium titanylphosphate laser; ML, 2-micron laser; TL, thulium laser. As an expansion of conventional direct meta-analysis, network meta-analysis has the ability of simultaneously comparing multiple treatments at a time.18 19 Therefore, we designed this systematic review and network meta-analysis to determine the optimal type of laser through investigating the comparative efficacy and safety and calculating rank probabilities of holmium laser, KTP laser, 2-micron laser and thulium laser.

Methods and analysis

Protocol registration

We developed this protocol of systematic review and network meta-analysis of randomised controlled trials (RCTs) in accordance with the methodological framework developed by the Cochrane Collaboration.20 Moreover, we also followed the recommendations reported in the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015 statement.21 Moreover, we have also released the protocol through registering it on a public platform named as open science framework (OSF) (available at https://osf.io/td9mw). And thus, our study protocol was funded through a protocol registry. No ethical approval and informed consent will be required because all statistical analyses would be conducted on the basis of published studies. The present network meta-analysis will start on 1 October 2021, and will end on 1 May 2022.

Patient and public involvement

No patients involved.

Eligibility criteria

Inclusion criteria

We developed the following inclusion criteria: (1) adult patients were definitively confirmed with primary NMIBC; (2) RCTs investigating the comparative efficacy and safety of transurethral laser surgery with different laser types or between transurethral laser surgery and standard transurethral resection; and (3) reported at least one of the following outcomes including operation time, catheterisation time, incidence of obturator nerve reflex, incidence of bladder perforation, length of hospital stay, bladder irritation and recurrence rate.

Exclusion criteria

We will exclude a study if it covers at least one of the following criteria: (1) the patients were determined to have recurrent or MIBC; (2) sufficient data for statistical analysis is not accessible; and (3) duplicate study with poor quality and insufficient data.

Information sources

We will assign two independent reviewers to electronically identify potentially eligible studies in PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructure, Wanfang database and Chongqing VIP from their inception until 31 May 2021. We will not impose any restrictions such as publication language and publication status. We will use the following terms to construct the search strategy with the method of combining Medical Subject Headings and full-text word: non-muscle invasive bladder cancer, transurethral resection, laser and random. As an example, we summarised the detailed search strategy of PubMed in table 1. We will also check references of all included studies to include additional studies. We will use the latest PRISMA flow diagram22 (V.2020, figure 2) to display the process of identification and selection of study. Any conflicts at this stage will be resolved through consulting a third reviewer.
Table 1

Search query of PubMed

No.Query
1Search: (((((non-muscle invasive bladder cancer[Title/Abstract]) OR (non-muscle invasive bladder carcinoma[Title/Abstract])) OR (non-muscle invasive bladder tumor[Title/Abstract])) OR (non muscle invasive bladder cancer[Title/Abstract]) OR (non muscle invasive bladder carcinoma[Title/Abstract])) OR (non muscle invasive bladder tumor[Title/Abstract])
2Search: “Laser Therapy”[MeSH]
3Search:(Laser Therapies[Title/Abstract]) OR (Laser Vaporization[Title/Abstract]) OR (Laser Ablation[Title/Abstract]) OR (Laser therapy[Title/Abstract]) OR (Laser Tissue Ablation[Title/Abstract])) OR (Pulsed Laser Tissue Ablation[Title/Abstract])) OR (Laser Photoablation of Tissue[Title/Abstract])) OR (Nonablative Laser Treatment[Title/Abstract])) OR (Nonablative Laser Treatments[Title/Abstract])) OR (Laser Scalpel[Title/Abstract])) OR (Laser Scalpels[Title/Abstract])) OR (Laser Knives[Title/Abstract])) OR (Laser Knive[Title/Abstract])) OR (Laser Knife[Title/Abstract])) OR (Laser Knifes[Title/Abstract])) OR (Laser Surgery[Title/Abstract])) OR (Laser Surgeries[Title/Abstract])
4#2 OR #3
5Search: transurethral[Title/Abstract]
6#4 AND #5
7Search: ((transurethral laser treatment[Title/Abstract]) OR (transurethral laser surgery[Title/Abstract])) OR (transurethral laser resection[Title/Abstract])
8#6 OR #7
9Search: (“Randomized Controlled Trial” [Publication Type]) OR “Randomized Controlled Trials as Topic”[MeSH]
10Search: random*[Title/Abstract]
11#9 OR #10
12#1 AND #8 AND #11

MeSH, Medical Subject Headings.

Figure 2

Preferred Reporting Items for Systematic Review and Meta-Analysis flow diagram of study identification and selection.

Preferred Reporting Items for Systematic Review and Meta-Analysis flow diagram of study identification and selection. Search query of PubMed MeSH, Medical Subject Headings.

Study selection and data extraction

We will first impose all records exported out from target databases into EndNote software, and then duplicate records will be removed through running the function of Finding Duplicate References. Second, we will evaluate the eligibility of each record through reviewing title and abstract. Third, we will obtain full-texts of retained records which are selected at the second stage for further evaluating eligibility. W will record the number of excluded studies and corresponding reasons of excluding each study at the third stage. Two independent reviewers will be assigned to extract the following essential information with the standard data extraction sheet which has been designed by our team: the first author’s name, year of publication, country of performing study, age, sample size, gender with proportion of female patients, characteristics of stones, details of risk of bias, outcomes and financial information. We will use the recommended formula to estimate mean and SD if a continuous variable was reported as median and range or quartile.23 We will contact the corresponding author to require information when the essential data are insufficient or not provided in the original study through sending an email. If no information can be added from authors, qualitative method will be used to summarise the findings. Any conflicts at this stage will be resolved through consulting a third reviewer.

Assessment of risk of bias

We will appoint two reviewers independently assess the methodological quality of each included studies with the Cochrane Risk Bias Assessment Tool.24 With this tool, the methodological quality of the individual study will be assessed from seven items as follows: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessor, incomplete data, selective reporting and other bias sources. Each item will be classified as low, unclear or high risk of bias according to the assessment criteria. The overall methodological quality of individual study will be rated as low if at least one item was labelled with high risk of bias, high if all items were labelled with low risk of bias or moderate if at least one item was labelled with unclear risk of bias but no item was labelled with high risk of bias. We will use Microsoft Word software to make risk of bias summary (table 2). Any conflicts about risk of bias assessment will be settled by consulting a third reviewer.
Table 2

Risk of bias summary

Random sequence generation (selection bias)Allocation concealment (selection bias)Blinding of personnels and participants (performance bias)Blinding of outcome assessor (detection bias)Incomplete data (attrition bias)Selective reporting (reporting bias)Other bias
Study 1
Study 2
Study 3
Study 4
Study 5
……
Risk of bias summary

Statistical analysis

We will first conduct a conventional pairwise meta-analysis based on a random-effects model for all outcomes. We will use the OR with 95% CI to express dichotomous variables, and use mean difference (MD) or standard MD (SMD) with 95% CI to express continuous variables. After performing statistical analysis, we will first evaluate the heterogeneity across studies. Cochrane Q statistic (based on χ2 test)25 and I2 statistic26 will be used to qualitatively and quantitatively assess heterogeneity, respectively. Being dependent on the criteria, a I2>50% and p value<0.1 suggests a substantial heterogeneity. However, we will select statistical model according to the level of heterogeneity because variations across studies cannot prevent that in the real world. Direct meta-analysis will be conducted by using RevMan V.5.3 software. After completing conventional pairwise meta-analysis, we will subsequently conduct a random-effects network meta-analysis by using Bayesian Markov-chain Monte Carlo method, which will be done with WinBUGS V.1.4.3.18 All estimates in network meta-analysis will be expressed as OR or SMD with 95% creditable interval. The convergence of data will be evaluated by using the Brooks Gelman-Rubin statistical method, and a potential proportional reduction factor of closing to 1 indicating more reliable convergence.27 28 We will calculate the surface under the cumulative ranking curve to determine relatively optimal frequency,29 and a value of closing to 1 for a certain frequency regime indicates that it is more likely to be the best option. Moreover, we will also use node-split method to test whether the presence or not of inconsistency between direct and indirect evidence when a closed loop was available in network meta-analysis,30 and a p value<0.05 indicates the presence of inconsistency.17 All estimates in network meta-analysis will be graphically shown by using Excel. We will also conduct sensitivity analysis to examine the robustness of pooled results by using the method of one-study remove.31

Subgroup and sensitivity analyses

If there is heterogeneity and the data are sufficient, we will conduct subgroup analysis to determine the potential reasons causing heterogeneity and investigate the comparative efficacy of each group. Data may be compared between patients of different course of disease and treatment duration. Moreover, we will also conduct sensitivity analysis through removing studies with high risk of bias when there is insufficient number of eligible studies for individual comparison. We will determine the robustness of pooled results through comparing the consistency between original results and pooled result of sensitivity analysis.

Publication bias

We will draw comparison-adjusted funnel plot to qualitative inspect whether presence or not of publication bias if the accumulated number of eligible studies was more than 10 for individual comparison,32 and an asymmetric funnel plot indicates the presence of publication bias.33

Discussion

Although standard transurethral resection has been regarded as the standard regime for the treatment of NMIBC,34 several technique challenges and severe complications limited its application.5 Numerous efforts have been made for the purpose of developing novel technologies. It is exciting that development of laser technology accelerate the application of laser surgery in clinical practice.8 Several original studies have been performed to investigate the comparative efficacy and safety between transurethral laser surgery and standard transurethral resection in treating NMIBC, and two recent meta-analyses further established the advantages of transurethral laser surgery for the treatment of NMIBC related to standard transurethral resection.14 15 Four types of lasers have been widely used in transurethral laser therapy for NMIBC,16 however it is unclear which types of laser may be optimal because previous direct meta-analysis only separately compared individual type of laser with standard transurethral resection by conducting subgroup analysis.15 Certainly, it cannot obtain comprehensive comparative efficacy and safety of four types of laser due to the nature of conventional direct meta-analysis.17 Therefore, it is imperative to conduct a network meta-analysis which is an expansion of conventional direct meta-analysis and has the ability of simultaneously comparing multiple treatments (more than two) at one time and calculating rank probabilities of all treatments18 19 to further determine the optimal type of laser for the treatment of NMIBC. The present systematic review and network meta-analysis will first investigate the comparative efficacy and safety of transurethral laser surgery with different laser types for the treatment of NMIBC. Two methodological strengths should be emphasised in this systematic review and network meta-analysis: (1) we will conduct a comprehensive literature based on highly sensitive search strategy and (2) ranking probabilities of four laser types will be estimated and then determine the optimal transurethral laser surgery. We developed this systematic review and network meta-analysis to first investigate the comparative efficacy and safety of transurethral laser surgery with different laser types for the treatment of NMIBC. After completing this systematic review and network meta-analysis, we will obtain more reliable and robust findings which will provide more accurate and reliable evidence for making decisions for the treatment of NMIBC in clinical practice.
  32 in total

1.  Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial.

Authors:  Georgia Salanti; A E Ades; John P A Ioannidis
Journal:  J Clin Epidemiol       Date:  2010-08-05       Impact factor: 6.437

2.  En bloc transurethral resection with 2-micron continuous-wave laser for primary non-muscle-invasive bladder cancer: a randomized controlled trial.

Authors:  Xu Chen; Jun Liao; Lingwu Chen; Shaopeng Qiu; Chengqiang Mo; Xiaopeng Mao; Yuanzhong Yang; Shiying Zhou; Junxing Chen
Journal:  World J Urol       Date:  2014-06-21       Impact factor: 4.226

3.  Short term complications from transurethral resection of bladder tumor.

Authors:  Justin R Gregg; Benjamin McCormick; Li Wang; Paul Cohen; Daniel Sun; David F Penson; Joseph A Smith; Peter E Clark; Michael S Cookson; Daniel A Barocas; Matthew J Resnick; Kelvin A Moses; Sam S Chang
Journal:  Can J Urol       Date:  2016-04       Impact factor: 1.344

4.  Comparing the treatment outcomes of potassium-titanyl-phosphate laser vaporization and transurethral electroresection for primary nonmuscle-invasive bladder cancer: A prospective, randomized study.

Authors:  Yansheng Xu; Weimin Guan; Weihao Chen; Changliang Xie; Yun Ouyang; Yiguang Wu; Cuilong Liu
Journal:  Lasers Surg Med       Date:  2015-04-09       Impact factor: 4.025

Review 5.  Bladder cancer.

Authors:  Ashish M Kamat; Noah M Hahn; Jason A Efstathiou; Seth P Lerner; Per-Uno Malmström; Woonyoung Choi; Charles C Guo; Yair Lotan; Wassim Kassouf
Journal:  Lancet       Date:  2016-06-23       Impact factor: 79.321

6.  Transurethral en bloc resection with bipolar button electrode for non-muscle invasive bladder cancer.

Authors:  Junfeng Zhang; Longsheng Wang; Shiyu Mao; Mengnan Liu; Wentao Zhang; Ziwei Zhang; Yadong Guo; Bisheng Huang; Yang Yan; Yong Huang; Xudong Yao
Journal:  Int Urol Nephrol       Date:  2018-02-24       Impact factor: 2.370

7.  Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics.

Authors:  Jack Bowden; Jayne F Tierney; Andrew J Copas; Sarah Burdett
Journal:  BMC Med Res Methodol       Date:  2011-04-07       Impact factor: 4.615

8.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement.

Authors:  David Moher; Larissa Shamseer; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  Syst Rev       Date:  2015-01-01

9.  A Bayesian Nonlinear Mixed-Effects Regression Model for the Characterization of Early Bactericidal Activity of Tuberculosis Drugs.

Authors:  Divan Aristo Burger; Robert Schall
Journal:  J Biopharm Stat       Date:  2014-10-16       Impact factor: 1.051

10.  The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.

Authors:  Matthew J Page; Joanne E McKenzie; Patrick M Bossuyt; Isabelle Boutron; Tammy C Hoffmann; Cynthia D Mulrow; Larissa Shamseer; Jennifer M Tetzlaff; Elie A Akl; Sue E Brennan; Roger Chou; Julie Glanville; Jeremy M Grimshaw; Asbjørn Hróbjartsson; Manoj M Lalu; Tianjing Li; Elizabeth W Loder; Evan Mayo-Wilson; Steve McDonald; Luke A McGuinness; Lesley A Stewart; James Thomas; Andrea C Tricco; Vivian A Welch; Penny Whiting; David Moher
Journal:  BMJ       Date:  2021-03-29
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  1 in total

1.  The 980 nm diode laser treatment for non-muscle-invasive bladder tumor with en bloc technique: single-center experience.

Authors:  Tianci Mao; Hongyi Zhang; Jie Cui; Zhiguang Zhao; Dian Jiao; Wei Zhang
Journal:  World J Surg Oncol       Date:  2022-09-29       Impact factor: 3.253

  1 in total

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