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Published in: Systematic Reviews 1/2019

Open Access 01-12-2019 | Actinic Keratosis | Protocol

Long-term efficacy of interventions for actinic keratosis: protocol for a systematic review and network meta-analysis

Authors: Theresa Steeb, Markus V. Heppt, Lars Becker, Christoph Kohl, Lars E. French, Carola Berking

Published in: Systematic Reviews | Issue 1/2019

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Abstract

Background

Actinic keratoses (AK) are common precancerous lesions of the skin due to cumulative sun exposure. A variety of interventions are available for the treatment; however, the majority of randomised controlled trials (RCTs) and meta-analyses focus on short-term efficacy outcomes. This network meta-analysis aims to investigate the long-term (> 12 months) efficacy of interventions for AK.

Methods

To identify relevant studies, we will perform a systematic literature research in MEDLINE, Embase, and CENTRAL and hand-search pertinent trial registers. Two authors will independently screen titles and abstracts for eligibility. We will include RCTs with an inter-individual (parallel arm) design. The study population includes patients with a clinical or histopathologic diagnosis of AK. Eligibility will be restricted to the following interventions: surgical approaches, cryosurgery, ablative laser treatment, topical drug treatment with 5-fluorouracil, imiquimod, ingenol mebutate, diclofenac, or photodynamic therapy. As outcomes, we will consider the following endpoints: (1) the participant complete clearance rate, (2) the participant partial clearance rate, (3) the lesion-specific clearance, (4) the mean lesion reduction per patient, and (5) the number of withdrawals due to adverse events after at least 12 months after the end of treatment. Monotherapy or placebo will serve as a comparison. Estimates of effects from individual studies will be pooled using a random-effects model. Heterogeneity will be evaluated based on I2 and chi-square test. The risk of bias will be estimated with the Cochrane Risk of Bias Tool by two review authors independently. The quality of evidence of the outcomes will be assessed with the GRADE approach. A network meta-analysis will be performed to combine direct and indirect evidence from the included RCTs.

Discussion

The potential of interventions to achieve a sustained clearance of AK has not been assessed to date. To investigate the long-term efficacy of interventions is important as the natural disease course is highly variable and relapses occur frequently even after initial lesion clearance. This review will help to set a framework for clinical decision making in patients with AK.

Systematic review registration

CRD42018095903 (PROSPERO)
Appendix
Available only for authorised users
Literature
1.
go back to reference Salasche SJ. Epidemiology of actinic keratoses and squamous cell carcinoma. J Am Acad Dermatol. 2000;42(1 Pt 2):4–7.PubMedCrossRef Salasche SJ. Epidemiology of actinic keratoses and squamous cell carcinoma. J Am Acad Dermatol. 2000;42(1 Pt 2):4–7.PubMedCrossRef
2.
go back to reference Moy RL. Clinical presentation of actinic keratoses and squamous cell carcinoma. J Am Acad Dermatol. 2000;42(1 Pt 2):8-10.CrossRef Moy RL. Clinical presentation of actinic keratoses and squamous cell carcinoma. J Am Acad Dermatol. 2000;42(1 Pt 2):8-10.CrossRef
3.
go back to reference Criscione VD, Weinstock MA, Naylor MF, Luque C, Eide MJ, Bingham SF, et al. Actinic keratoses: natural history and risk of malignant transformation in the Veterans Affairs Topical Tretinoin Chemoprevention Trial. Cancer. 2009;115(11):2523–30.PubMedCrossRef Criscione VD, Weinstock MA, Naylor MF, Luque C, Eide MJ, Bingham SF, et al. Actinic keratoses: natural history and risk of malignant transformation in the Veterans Affairs Topical Tretinoin Chemoprevention Trial. Cancer. 2009;115(11):2523–30.PubMedCrossRef
4.
go back to reference Werner RN, Sammain A, Erdmann R, Hartmann V, Stockfleth E, Nast A. The natural history of actinic keratosis: a systematic review. Br J Dermatol. 2013;169(3):502–18.PubMedCrossRef Werner RN, Sammain A, Erdmann R, Hartmann V, Stockfleth E, Nast A. The natural history of actinic keratosis: a systematic review. Br J Dermatol. 2013;169(3):502–18.PubMedCrossRef
5.
go back to reference Cerio R, Dirschka T, Dreno B, Figueras Nart I, Lear JT, Pellacani G, et al. Actinic Keratosis, a Chronic, Progressive disease: understanding clinical gaps to optimise patient management. Acta Derm Venereol. 2017;97(8):997–8.PubMedCrossRef Cerio R, Dirschka T, Dreno B, Figueras Nart I, Lear JT, Pellacani G, et al. Actinic Keratosis, a Chronic, Progressive disease: understanding clinical gaps to optimise patient management. Acta Derm Venereol. 2017;97(8):997–8.PubMedCrossRef
6.
go back to reference Werner RN, Stockfleth E, Connolly SM, Correia O, Erdmann R, Foley P, et al. Evidence- and consensus-based (S3) Guidelines for the treatment of actinic keratosis—International League of Dermatological Societies in cooperation with the European Dermatology Forum—Short version. J Eur Acad Dermatol Venereol. 2015;29(11):2069–79.PubMedCrossRef Werner RN, Stockfleth E, Connolly SM, Correia O, Erdmann R, Foley P, et al. Evidence- and consensus-based (S3) Guidelines for the treatment of actinic keratosis—International League of Dermatological Societies in cooperation with the European Dermatology Forum—Short version. J Eur Acad Dermatol Venereol. 2015;29(11):2069–79.PubMedCrossRef
7.
go back to reference de Berker D, McGregor JM, Mohd Mustapa MF, Exton LS, Hughes BR. British Association of Dermatologists' guidelines for the care of patients with actinic keratosis 2017. Br J Dermatol. 2017;176(1):20–43.PubMedCrossRef de Berker D, McGregor JM, Mohd Mustapa MF, Exton LS, Hughes BR. British Association of Dermatologists' guidelines for the care of patients with actinic keratosis 2017. Br J Dermatol. 2017;176(1):20–43.PubMedCrossRef
8.
go back to reference Heppt MV, Steeb T, Niesert AC, Zacher M, Leiter U, Garbe C, et al. Local interventions for actinic keratosis in organ transplant recipients: a systematic review. Br J Dermatol. 2018. Heppt MV, Steeb T, Niesert AC, Zacher M, Leiter U, Garbe C, et al. Local interventions for actinic keratosis in organ transplant recipients: a systematic review. Br J Dermatol. 2018.
9.
go back to reference Steeb T, Schlager JG, Kohl C, Ruzicka T, Heppt MV, Berking C. Laser-assisted photodynamic therapy for actinic keratosis: a systematic review and meta-analysis. J Am Acad Dermatol. 2018. Steeb T, Schlager JG, Kohl C, Ruzicka T, Heppt MV, Berking C. Laser-assisted photodynamic therapy for actinic keratosis: a systematic review and meta-analysis. J Am Acad Dermatol. 2018.
10.
go back to reference Askew DA, Mickan SM, Soyer HP, Wilkinson D. Effectiveness of 5-fluorouracil treatment for actinic keratosis—a systematic review of randomized controlled trials. Int J Dermatol. 2009;48(5):453–63.PubMedCrossRef Askew DA, Mickan SM, Soyer HP, Wilkinson D. Effectiveness of 5-fluorouracil treatment for actinic keratosis—a systematic review of randomized controlled trials. Int J Dermatol. 2009;48(5):453–63.PubMedCrossRef
11.
go back to reference Gupta AK, Paquet M. Network meta-analysis of the outcome 'participant complete clearance' in nonimmunosuppressed participants of eight interventions for actinic keratosis: a follow-up on a Cochrane review. Br J Dermatol. 2013;169(2):250–9.PubMedCrossRef Gupta AK, Paquet M. Network meta-analysis of the outcome 'participant complete clearance' in nonimmunosuppressed participants of eight interventions for actinic keratosis: a follow-up on a Cochrane review. Br J Dermatol. 2013;169(2):250–9.PubMedCrossRef
12.
go back to reference Rahvar M, Lamel SA, Maibach HI. Randomized, vehicle-controlled trials of topical 5-fluorouracil therapy for actinic keratosis treatment: an overview. Immunotherapy. 2012;4(9):939–45.PubMedCrossRef Rahvar M, Lamel SA, Maibach HI. Randomized, vehicle-controlled trials of topical 5-fluorouracil therapy for actinic keratosis treatment: an overview. Immunotherapy. 2012;4(9):939–45.PubMedCrossRef
13.
go back to reference Moher D, Liberati A, Tetzlaff J, Altman DG. Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. Open Med. 2009;3(3):e123–30.PubMedPubMedCentral Moher D, Liberati A, Tetzlaff J, Altman DG. Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. Open Med. 2009;3(3):e123–30.PubMedPubMedCentral
15.
go back to reference Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.PubMedPubMedCentralCrossRef Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.PubMedPubMedCentralCrossRef
16.
go back to reference Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med. 2015;162(11):777–84.PubMedCrossRef Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med. 2015;162(11):777–84.PubMedCrossRef
17.
go back to reference Efthimiou O, Mavridis D, Nikolakopoulou A, Rucker G, Trelle S, Egger M, et al. A model for meta-analysis of correlated binary outcomes: the case of split-body interventions. Stat Methods Med Res. 2017:962280217746436. Efthimiou O, Mavridis D, Nikolakopoulou A, Rucker G, Trelle S, Egger M, et al. A model for meta-analysis of correlated binary outcomes: the case of split-body interventions. Stat Methods Med Res. 2017:962280217746436.
18.
go back to reference Gupta AK, Paquet M, Villanueva E, Brintnell W. Interventions for actinic keratoses. The Cochrane database of systematic reviews. 2012;12:Cd004415.PubMed Gupta AK, Paquet M, Villanueva E, Brintnell W. Interventions for actinic keratoses. The Cochrane database of systematic reviews. 2012;12:Cd004415.PubMed
19.
go back to reference R Core Team. A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria; 2013. R Core Team. A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria; 2013.
20.
go back to reference Review Manager (RevMan) [Computer program]. Version 5.3. Copenhagen: The Nordic Cochrane Centre TCC, 2014. Review Manager (RevMan) [Computer program]. Version 5.3. Copenhagen: The Nordic Cochrane Centre TCC, 2014.
21.
go back to reference Higgins JPT, Green S. Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series: The Cochrane Collaboration; 2008.CrossRef Higgins JPT, Green S. Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series: The Cochrane Collaboration; 2008.CrossRef
22.
go back to reference Viechtbauer W. Confidence intervals for the amount of heterogeneity in meta-analysis. Stat Med. 2007;26(1):37–52.PubMedCrossRef Viechtbauer W. Confidence intervals for the amount of heterogeneity in meta-analysis. Stat Med. 2007;26(1):37–52.PubMedCrossRef
23.
go back to reference Rucker G. Network meta-analysis, electrical networks and graph theory. Res Synth Methods. 2012;3(4):312–24.PubMedCrossRef Rucker G. Network meta-analysis, electrical networks and graph theory. Res Synth Methods. 2012;3(4):312–24.PubMedCrossRef
24.
go back to reference Rucker G, Schwarzer G. Reduce dimension or reduce weights? Comparing two approaches to multi-arm studies in network meta-analysis. Stat Med. 2014;33(25):4353–69.PubMedCrossRef Rucker G, Schwarzer G. Reduce dimension or reduce weights? Comparing two approaches to multi-arm studies in network meta-analysis. Stat Med. 2014;33(25):4353–69.PubMedCrossRef
25.
go back to reference Rucker G, Schwarzer G. Automated drawing of network plots in network meta-analysis. Res Synth Methods. 2016;7(1):94–107.PubMedCrossRef Rucker G, Schwarzer G. Automated drawing of network plots in network meta-analysis. Res Synth Methods. 2016;7(1):94–107.PubMedCrossRef
26.
27.
go back to reference Salanti G. Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Res Synth Methods. 2012;3(2):80–97.PubMedCrossRef Salanti G. Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Res Synth Methods. 2012;3(2):80–97.PubMedCrossRef
28.
go back to reference Lu G, Ades AE. Combination of direct and indirect evidence in mixed treatment comparisons. Stat Med. 2004;23(20):3105–24.PubMedCrossRef Lu G, Ades AE. Combination of direct and indirect evidence in mixed treatment comparisons. Stat Med. 2004;23(20):3105–24.PubMedCrossRef
29.
go back to reference Caldwell DM, Ades AE, Higgins JP. Simultaneous comparison of multiple treatments: combining direct and indirect evidence. BMJ. 2005;331(7521):897–900.PubMedPubMedCentralCrossRef Caldwell DM, Ades AE, Higgins JP. Simultaneous comparison of multiple treatments: combining direct and indirect evidence. BMJ. 2005;331(7521):897–900.PubMedPubMedCentralCrossRef
30.
go back to reference Song F, Altman DG, Glenny AM, Deeks JJ. Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses. BMJ. 2003;326(7387):472.PubMedPubMedCentralCrossRef Song F, Altman DG, Glenny AM, Deeks JJ. Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses. BMJ. 2003;326(7387):472.PubMedPubMedCentralCrossRef
31.
go back to reference Veroniki AA, Vasiliadis HS, Higgins JP, Salanti G. Evaluation of inconsistency in networks of interventions. Int J Epidemiol. 2013;42(1):332–45.PubMedCrossRef Veroniki AA, Vasiliadis HS, Higgins JP, Salanti G. Evaluation of inconsistency in networks of interventions. Int J Epidemiol. 2013;42(1):332–45.PubMedCrossRef
32.
go back to reference Dias S, Welton NJ, Caldwell DM, Ades AE. Checking consistency in mixed treatment comparison meta-analysis. Stat Med. 2010;29(7-8):932–44.PubMedCrossRef Dias S, Welton NJ, Caldwell DM, Ades AE. Checking consistency in mixed treatment comparison meta-analysis. Stat Med. 2010;29(7-8):932–44.PubMedCrossRef
33.
go back to reference White IR, Barrett JK, Jackson D, Higgins JP. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Res Synth Methods. 2012;3(2):111–25.PubMedPubMedCentralCrossRef White IR, Barrett JK, Jackson D, Higgins JP. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Res Synth Methods. 2012;3(2):111–25.PubMedPubMedCentralCrossRef
34.
go back to reference Brignardello-Petersen R, Bonner A, Alexander PE, Siemieniuk RA, Furukawa TA, Rochwerg B, et al. Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis. J Clin Epidemiol. 2018;93:36–44.PubMedCrossRef Brignardello-Petersen R, Bonner A, Alexander PE, Siemieniuk RA, Furukawa TA, Rochwerg B, et al. Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis. J Clin Epidemiol. 2018;93:36–44.PubMedCrossRef
35.
go back to reference Puhan MA, Schunemann HJ, Murad MH, Li T, Brignardello-Petersen R, Singh JA, et al. A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis. BMJ. 2014;349:g5630.PubMedCrossRef Puhan MA, Schunemann HJ, Murad MH, Li T, Brignardello-Petersen R, Singh JA, et al. A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis. BMJ. 2014;349:g5630.PubMedCrossRef
36.
go back to reference Brignardello-Petersen R, Mustafa RA, Siemieniuk RAC, Murad MH, Agoritsas T, Izcovich A, et al. GRADE approach to rate the certainty from a network meta-analysis: Addressing Incoherence. J Clin Epidemiol. 2018. Brignardello-Petersen R, Mustafa RA, Siemieniuk RAC, Murad MH, Agoritsas T, Izcovich A, et al. GRADE approach to rate the certainty from a network meta-analysis: Addressing Incoherence. J Clin Epidemiol. 2018.
37.
go back to reference Conforti C, Beninanti E, Dianzani C. Are actinic keratoses really squamous cell cancer? How do we know if they would become malignant? Clin Dermatol. 2018;36(3):430–2.PubMedCrossRef Conforti C, Beninanti E, Dianzani C. Are actinic keratoses really squamous cell cancer? How do we know if they would become malignant? Clin Dermatol. 2018;36(3):430–2.PubMedCrossRef
38.
go back to reference Vegter S, Tolley K. A network meta-analysis of the relative efficacy of treatments for actinic keratosis of the face or scalp in Europe. PLoS One. 2014;9(6):e96829.PubMedPubMedCentralCrossRef Vegter S, Tolley K. A network meta-analysis of the relative efficacy of treatments for actinic keratosis of the face or scalp in Europe. PLoS One. 2014;9(6):e96829.PubMedPubMedCentralCrossRef
Metadata
Title
Long-term efficacy of interventions for actinic keratosis: protocol for a systematic review and network meta-analysis
Authors
Theresa Steeb
Markus V. Heppt
Lars Becker
Christoph Kohl
Lars E. French
Carola Berking
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2019
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-019-1156-8

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