Literature DB >> 19664848

How good are skin cancer clinics at melanoma detection? Number needed to treat variability across a national clinic group in Australia.

Craig Hansen1, David Wilkinson, Mary Hansen, Giuseppe Argenziano.   

Abstract

BACKGROUND: The number needed to treat (NNT) is a key measure of the quality of melanoma diagnosis. There are few data on this measure from primary care skin cancer clinics in Australia.
OBJECTIVE: We sought to report the NNT from a large pathology database and examine several patient characteristics.
METHODS: We calculated NNT by doctor and clinic among 10,612 lesions, 6796 patients, 57 doctors, and 15 clinics from a pathology database. NNT was calculated with and without seborrheic keratoses.
RESULTS: Overall NNT was 30 (with seborrheic keratoses) and 23 (without seborrheic keratoses). Excluding the 4 doctors with NNT greater than 60, total NNT decreased from 30 to 21 and from 23 to 15, respectively (with and without seborrheic keratoses). NNT was higher for female patients and younger patients (<30 years). NNT varied by doctor from 0 to 192 and 117, respectively (with and without seborrheic keratoses). LIMITATIONS: Given the retrospective design, we were unable to examine doctor characteristics such as age, sex, medical training, and patient pressure to excise.
CONCLUSIONS: Substantial variability in individual doctor NNT produced an overall NNT similar to that reported from mainstream general practice, and higher than specialist practice.

Entities:  

Mesh:

Year:  2009        PMID: 19664848     DOI: 10.1016/j.jaad.2009.04.021

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


  15 in total

1.  Estimating the cost of skin cancer detection by dermatology providers in a large health care system.

Authors:  Martha Matsumoto; Aaron Secrest; Alyce Anderson; Melissa I Saul; Jonhan Ho; John M Kirkwood; Laura K Ferris
Journal:  J Am Acad Dermatol       Date:  2017-11-24       Impact factor: 11.527

2.  Impact of in vivo reflectance confocal microscopy on the number needed to treat melanoma in doubtful lesions.

Authors:  I Alarcon; C Carrera; J Palou; L Alos; J Malvehy; S Puig
Journal:  Br J Dermatol       Date:  2014-04       Impact factor: 9.302

3.  Utility of a Noninvasive 2-Gene Molecular Assay for Cutaneous Melanoma and Effect on the Decision to Biopsy.

Authors:  Laura K Ferris; Burkhard Jansen; Jonhan Ho; Klaus J Busam; Kenneth Gross; Doyle D Hansen; John P Alsobrook; Zuxu Yao; Gary L Peck; Pedram Gerami
Journal:  JAMA Dermatol       Date:  2017-07-01       Impact factor: 10.282

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

Authors:  Amy J Petty; Bradley Ackerson; Reed Garza; Michael Peterson; Beiyu Liu; Cynthia Green; Michelle Pavlis
Journal:  J Am Acad Dermatol       Date:  2020-01-11       Impact factor: 11.527

5.  Economic Analysis of a Noninvasive Molecular Pathologic Assay for Pigmented Skin Lesions.

Authors:  John Hornberger; Daniel M Siegel
Journal:  JAMA Dermatol       Date:  2018-09-01       Impact factor: 10.282

6.  Melanoma screening: Informing public health policy with quantitative modelling.

Authors:  Stephen Gilmore
Journal:  PLoS One       Date:  2017-09-25       Impact factor: 3.240

7.  Digital imaging biomarkers feed machine learning for melanoma screening.

Authors:  Daniel S Gareau; Joel Correa da Rosa; Sarah Yagerman; John A Carucci; Nicholas Gulati; Ferran Hueto; Jennifer L DeFazio; Mayte Suárez-Fariñas; Ashfaq Marghoob; James G Krueger
Journal:  Exp Dermatol       Date:  2016-12-19       Impact factor: 3.960

8.  Development and validation of a noninvasive 2-gene molecular assay for cutaneous melanoma.

Authors:  Pedram Gerami; Zuxu Yao; David Polsky; Burkhard Jansen; Klaus Busam; Jonhan Ho; Mary Martini; Laura K Ferris
Journal:  J Am Acad Dermatol       Date:  2016-10-01       Impact factor: 11.527

9.  Performance of the "if in doubt, cut it out" rule for the management of nodular melanoma.

Authors:  Elvira Moscarella; Aimilios Lallas; Caterina Longo; Iris Zalaudek; Stefano Caccavale; Alessio Gambardella; Amalia Lupoli; Roberto Alfano; Giuseppe Argenziano
Journal:  Dermatol Pract Concept       Date:  2017-07-31

10.  Assessment of Raman Spectroscopy for Reducing Unnecessary Biopsies for Melanoma Screening.

Authors:  Yao Zhang; Austin J Moy; Xu Feng; Hieu T M Nguyen; Katherine R Sebastian; Jason S Reichenberg; Claus O Wilke; Mia K Markey; James W Tunnell
Journal:  Molecules       Date:  2020-06-20       Impact factor: 4.411

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