Literature DB >> 31931085

Meta-analysis of number needed to treat for diagnosis of melanoma by clinical setting.

Amy J Petty1, Bradley Ackerson2, Reed Garza3, Michael Peterson4, Beiyu Liu5, Cynthia Green5, Michelle Pavlis6.   

Abstract

OBJECTIVE: To provide a formal statistical comparison of the efficacy of melanoma detection among different clinical settings.
METHODS: A systematic review and meta-analysis of all relevant observational studies on number needed to treat (NNT) in relation to melanoma was performed in MEDLINE. We performed a random-effects model meta-analysis and reported NNTs with 95% confidence intervals (CIs). The subgroup analysis was related to clinical setting.
RESULTS: In all, 29 articles including a total of 398,549 biopsies/excisions were analyzed. The overall NNT was 9.71 (95% CI, 7.72-12.29): 22.62 (95% CI, 12.95-40.10) for primary care, 9.60 (95% CI, 6.97-13.41) for dermatology, and 5.85 (95% CI, 4.24-8.27) for pigmented lesion specialists. LIMITATIONS: There is heterogeneity in data reporting and the possibility of missing studies. In addition, the incidence of melanoma varies among clinical settings, which could affect NNT calculations.
CONCLUSION: Pigmented lesion specialists have the lowest NNT, followed by dermatologists, suggesting that involving specialists in the diagnosis and treatment of pigmented skin lesions can likely improve patient outcomes. Published by Elsevier Inc.

Entities:  

Keywords:  dermatologic surgery; melanoma; melanoma in situ; number needed to excise; number needed to treat; oncology; pigmented lesions

Mesh:

Year:  2020        PMID: 31931085      PMCID: PMC7167347          DOI: 10.1016/j.jaad.2019.12.063

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  48 in total

1.  Asymmetric funnel plots and publication bias in meta-analyses of diagnostic accuracy.

Authors:  Fujian Song; Khalid S Khan; Jacqueline Dinnes; Alex J Sutton
Journal:  Int J Epidemiol       Date:  2002-02       Impact factor: 7.196

2.  Analysis of the benign to malignant ratio of lesions biopsied by a general dermatologist before and after the adoption of dermoscopy.

Authors:  Vitaly Terushkin; Melanie Warycha; Marla Levy; Alfred W Kopf; David E Cohen; David Polsky
Journal:  Arch Dermatol       Date:  2010-03

3.  Diagnostic accuracy in skin cancer clinics: the Australian experience.

Authors:  Cameron R M Moffatt; Adèle C Green; David C Whiteman
Journal:  Int J Dermatol       Date:  2006-06       Impact factor: 2.736

4.  Accuracy in melanoma detection: a 10-year multicenter survey.

Authors:  Giuseppe Argenziano; Lorenzo Cerroni; Iris Zalaudek; Stefania Staibano; Rainer Hofmann-Wellenhof; Nicola Arpaia; Renato Marchiori Bakos; Brigitte Balme; Jadran Bandic; Roberto Bandelloni; Alexandra M G Brunasso; Horacio Cabo; David A Calcara; Blanca Carlos-Ortega; Ana Carolina Carvalho; Gabriel Casas; Huiting Dong; Gerardo Ferrara; Raffaele Filotico; Guillermo Gómez; Allan Halpern; Gennaro Ilardi; Akira Ishiko; Gulsen Kandiloglu; Hiroshi Kawasaki; Ken Kobayashi; Hiroshi Koga; Ivanka Kovalyshyn; David Langford; Xin Liu; Ashfaq A Marghoob; Massimo Mascolo; Cesare Massone; Laura Mazzoni; Scott Menzies; Akane Minagawa; Loredana Nugnes; Fezal Ozdemir; Giovanni Pellacani; Stefania Seidenari; Katherine Siamas; Ignazio Stanganelli; William V Stoecker; Masaru Tanaka; Luc Thomas; Philipp Tschandl; Harald Kittler
Journal:  J Am Acad Dermatol       Date:  2011-10-06       Impact factor: 11.527

5.  Who removes pigmented skin lesions?

Authors:  R Marks; D Jolley; C McCormack; A P Dorevitch
Journal:  J Am Acad Dermatol       Date:  1997-05       Impact factor: 11.527

6.  The impact of subspecialization and dermatoscopy use on accuracy of melanoma diagnosis among primary care doctors in Australia.

Authors:  Cliff Rosendahl; Gail Williams; Diann Eley; Tobias Wilson; Greg Canning; Jeffrey Keir; Ian McColl; David Wilkinson
Journal:  J Am Acad Dermatol       Date:  2012-02-09       Impact factor: 11.527

7.  Diagnosis of pigmented skin tumours in a dermatological setting: different aspects of the number needed to excise as a measure of efficiency.

Authors:  Ingela Ahnlide; Kari Nielsen; Mats Bjellerup
Journal:  Acta Derm Venereol       Date:  2014-11       Impact factor: 4.437

Review 8.  Epidemiology of skin cancer.

Authors:  Ulrike Leiter; Thomas Eigentler; Claus Garbe
Journal:  Adv Exp Med Biol       Date:  2014       Impact factor: 2.622

9.  Accuracy of Skin Cancer Diagnosis by Physician Assistants Compared With Dermatologists in a Large Health Care System.

Authors:  Alyce M Anderson; Martha Matsumoto; Melissa I Saul; Aaron M Secrest; Laura K Ferris
Journal:  JAMA Dermatol       Date:  2018-05-01       Impact factor: 10.282

10.  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
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  7 in total

1.  Base Transection with Shaves: An Avoidable Shortcoming : Reply to Impact of Shave Biopsy on Diagnosis and Management of Cutaneous Melanoma: A Systematic Review and Meta-analysis.

Authors:  Hilary Brown; Thomas Pitney; James Muir
Journal:  Ann Surg Oncol       Date:  2021-05-24       Impact factor: 5.344

2.  Incomplete Excisions of Melanocytic Lesions: Rates and Risk Factors.

Authors:  Sofia Berglund; Eva Johansson Backman; Zahra Baldawi; Linda Horn; Rebecca Arbin Borsiin; Michelle Marjanovic; Thea Christoffersson; Martin Gillstedt; John Paoli
Journal:  Acta Derm Venereol       Date:  2021-03-23       Impact factor: 3.875

3.  Cutaneous Melanoma Systematic Diagnostic Workflows and Integrated Reflectance Confocal Microscopy Assessed with a Retrospective, Comparative Longitudinal (2009-2018) Study.

Authors:  Giovanni Pellacani; Francesca Farnetani; Johanna Chester; Shaniko Kaleci; Silvana Ciardo; Sara Bassoli; Alice Casari; Caterina Longo; Marco Manfredini; Anna Maria Cesinaro; Francesca Giusti; Antonio Iacuzio; Mario Migaldi
Journal:  Cancers (Basel)       Date:  2022-02-07       Impact factor: 6.639

4.  Over-Detection of Melanoma-Suspect Lesions by a CE-Certified Smartphone App: Performance in Comparison to Dermatologists, 2D and 3D Convolutional Neural Networks in a Prospective Data Set of 1204 Pigmented Skin Lesions Involving Patients' Perception.

Authors:  Anna Sophie Jahn; Alexander Andreas Navarini; Sara Elisa Cerminara; Lisa Kostner; Stephanie Marie Huber; Michael Kunz; Julia-Tatjana Maul; Reinhard Dummer; Seraina Sommer; Anja Dominique Neuner; Mitchell Paul Levesque; Phil Fang Cheng; Lara Valeska Maul
Journal:  Cancers (Basel)       Date:  2022-08-07       Impact factor: 6.575

5.  Detection of cutaneous malignant melanoma using RNA sampled by tape strips: A study protocol.

Authors:  Ida M Heerfordt; Jeppe D Andersen; Peter A Philipsen; Linnea Langhans; Torben Tvedebrink; Grethe Schmidt; Thomas Poulsen; Catharina M Lerche; Niels Morling; Hans Christian Wulf
Journal:  PLoS One       Date:  2022-09-21       Impact factor: 3.752

6.  Lesion identification and malignancy prediction from clinical dermatological images.

Authors:  Meng Xia; Meenal K Kheterpal; Samantha C Wong; Christine Park; William Ratliff; Lawrence Carin; Ricardo Henao
Journal:  Sci Rep       Date:  2022-09-23       Impact factor: 4.996

7.  Can Dermoscopy Be Used to Predict if a Melanoma Is In Situ or Invasive?

Authors:  Sam Polesie; Edvin Jergéus; Martin Gillstedt; Hannah Ceder; Johan Dahlén Gyllencreutz; Julia Fougelberg; Eva Johansson Backman; Jenna Pakka; Oscar Zaar; John Paoli
Journal:  Dermatol Pract Concept       Date:  2021-05-20
  7 in total

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