Literature DB >> 34236721

Impact of the COVID-19 pandemic on melanoma diagnosis.

P Gisondi1, S Cazzaniga2,3, S Di Leo4, S Piaserico5, F Bellinato1, M Pizzolato6, A Gatti7, A Eccher8, M Brunelli8, D Saraggi9, G Girolomoni1, L Naldi2,4.   

Abstract

Entities:  

Mesh:

Year:  2021        PMID: 34236721      PMCID: PMC8447457          DOI: 10.1111/jdv.17493

Source DB:  PubMed          Journal:  J Eur Acad Dermatol Venereol        ISSN: 0926-9959            Impact factor:   9.228


× No keyword cloud information.

Conflict of interest

None.

Funding sources

The work was supported by Fondazione Cariplo, Fondazione Veronesi, Impact of COVID‐19 infection on patients affected by inflammatory skin diseases on immunosuppressive therapies (COVISKIN); ID 1833073 rif. 2020‐1363. Dear Editor, Many healthcare systems have responded to the COVID‐19 pandemic by delaying and/or cancelling elective surgical procedures, particularly during the lockdown. , , There is a concern that this could have affected the early diagnosis of malignant melanoma (MM) that is critical to improve its prognosis. , The objective of this observational study was to investigate whether a reduction in the incidence of new diagnoses of MM has occurred following the COVID‐19 outbreak. All the consecutive histological diagnoses of MM were retrospectively collected in the pathological laboratories of four provinces of the Veneto region in northern Italy, namely Verona, Vicenza, Rovigo and Treviso, between 1 March and 31 October 2020 and the same period of 2019. All cases were stratified into three categories according to Breslow thickness: in situ, <1 and ≥1 mm. The date of MM excision was considered for all the time‐related analyses. The period March–October 2020 was compared with the same period of 2019. Incidence rates (IR) of MM per 100 000 person‐year were computed by considering the overall population of the included provinces in the Veneto region and were presented along with their exact mid‐P 95% confidence intervals (CI). Incidence rates ratios (IRR) comparing IR of 2020 vs. 2019 were produced along with their exact mid‐P 95% CI and P‐values. In addition, IRR comparing the number of observed cases in 2020 and the expected number based on the estimated annual per cent change (APC) of MM from the regional cancer registry was calculated. Univariate logistic regression analysis was used to compare Breslow thickness categories in the same periods of 2020 and 2019. A total of 556 MM cases in the period March–October 2020 vs. 634 MM cases in the same period of 2019 were collected (Table 1). No difference in age, sex and Breslow thickness was observed between the two periods.
Table 1

Demographics and clinical characteristics of patients by year in the period March‐October 2019 and 2020

March–October 2019March–October 2020 P
N = 634% N = 556%
SexFemale28344.6%24243.5%0.70
Male35155.4%31456.5%
AgeMedian, IQR61.050.0–72.062.551.0–73.00.69
BreslowMedian, IQR 0.50.3–1.10.50.3–1.20.57
In situ 16325.7%13323.9%0.62
<1 mm33853.3%29553.1%
1+ mm13321.0%12823.0%

IQR, interquartile range.

Continuous variables were presented as medians with interquartile ranges (IQR), while nominal variables as numbers with percentages. Chi‐square test and Mann–Whitney U test were used for nominal and continuous variables, respectively. ‡Excluding in situ melanoma.

Demographics and clinical characteristics of patients by year in the period March‐October 2019 and 2020 IQR, interquartile range. Continuous variables were presented as medians with interquartile ranges (IQR), while nominal variables as numbers with percentages. Chi‐square test and Mann–Whitney U test were used for nominal and continuous variables, respectively. ‡Excluding in situ melanoma. The number of MM cases stratified by Breslow thickness category and excision dates in the period March–October 2020 and 2019 with a finer division by 2‐month interval is reported in Fig. 1. The number of missed expected cases, based on an estimated 3.4% annual change of MM incidence from Veneto regional data, is shown as well (Fig. 1).
Figure 1

Number of melanoma excisions in the period March–October 2019 and 2020 by Breslow category and biopsy dates. The number of missed expected cases, based on an estimated 3.4% annual change of melanoma incidence from Veneto regional data, is shown as well.

Number of melanoma excisions in the period March–October 2019 and 2020 by Breslow category and biopsy dates. The number of missed expected cases, based on an estimated 3.4% annual change of melanoma incidence from Veneto regional data, is shown as well. The incidence of MM in the period March–October 2020 vs the same period of 2019 was 28.7 (95% C.I. 26.4–31.2) and 32.8 (95% C.I. 30.2–35.4), respectively; the corresponding IRR was 0.88 (95% C.I. 0.78–0.98, P = 0.02). When considering the number of cases observed vs. those expected based on estimated APC from the regional cancer data for the same period March‐October, a statistically significant difference was confirmed (556 observed vs. 654.7 expected; IRR = 0.85; 95% CI = 0.76–0.95; P = 0.004). The incidence of MM, comparing March–April 2020 vs. the same period of 2019, showed a significant reduction (84 vs. 142 cases per 100 000 person‐years, IRR = 0.59; 95% CI = 0.45–0.77; P < 0.001). This decrease is also confirmed by taking into account the expected number of cases based on estimated annual per cent change from the regional cancer registry (84 vs. 146.7 expected, IRR = 0.57; 95% CI = 0.44–0.75; P < 0.001). The same differences in the reduction of the MM incidence were detected for males and females, while there was a trend in the reduction for increasing age groups, especially those aged ≥65 years. No difference in the distribution of cases according to Breslow thickness categories was documented in the logistic regression analysis. Our data document that a significant reduction in MM new diagnoses has occurred following the COVID‐19 pandemic, similarly to what has been reported for other cancers, , , potentially causing an increase of morbidity, mortality and healthcare costs, which could not be quantified at this stage.
  7 in total

1.  Impact of COVID-19 lockdown measures on oncological surgical activity: Analysis of the surgical pathology caseload of a tertiary referral hospital in Northwestern Italy.

Authors:  Elena Vissio; Enrico Costantino Falco; Giammarco Collemi; Fulvio Borella; Mauro Papotti; Antonio Scarmozzino; Paola Cassoni; Luca Bertero
Journal:  J Surg Oncol       Date:  2020-10-20       Impact factor: 3.454

2.  The magnitude of COVID-19's effect on the timely management of melanoma and nonmelanoma skin cancers.

Authors:  Justin W Marson; Brittany S Maner; Tanner P Harding; John Meisenheimer; James A Solomon; Matt Leavitt; Nicole J Levin; Robert Dellavalle; Ian Brooks; Darrell S Rigel
Journal:  J Am Acad Dermatol       Date:  2021-01-19       Impact factor: 11.527

3.  Position statement of the EADV Melanoma Task Force on recommendations for the management of cutaneous melanoma patients during COVID-19.

Authors:  M Arenbergerova; A Lallas; E Nagore; L Rudnicka; A M Forsea; M Pasek; F Meier; K Peris; J Olah; C Posch
Journal:  J Eur Acad Dermatol Venereol       Date:  2021-04-13       Impact factor: 6.166

4.  Estimated effect of COVID-19 lockdown on melanoma thickness and prognosis: a rate of growth model.

Authors:  A Tejera-Vaquerizo; E Nagore
Journal:  J Eur Acad Dermatol Venereol       Date:  2020-06-04       Impact factor: 9.228

5.  The COVID-19 outbreak in dermatologic surgery: resetting clinical priorities.

Authors:  E Rossi; M Trakatelli; L Giacomelli; B Ferrari; M Francomano; G Pellacani; C Magnoni
Journal:  J Eur Acad Dermatol Venereol       Date:  2020-07-13       Impact factor: 9.228

6.  Impact of COVID-19 response on global surgical volumes: an ongoing observational study.

Authors:  Vikas N O'Reilly-Shah; Wil Van Cleve; Dustin R Long; Vanessa Moll; Faye M Evans; Jacob E Sunshine; Nicholas J Kassebaum; Ewen M Harrison; Craig S Jabaley
Journal:  Bull World Health Organ       Date:  2020-09-03       Impact factor: 9.408

7.  The impact of the COVID-19 pandemic on cancer deaths due to delays in diagnosis in England, UK: a national, population-based, modelling study.

Authors:  Camille Maringe; James Spicer; Melanie Morris; Arnie Purushotham; Ellen Nolte; Richard Sullivan; Bernard Rachet; Ajay Aggarwal
Journal:  Lancet Oncol       Date:  2020-07-20       Impact factor: 54.433

  7 in total
  5 in total

1.  Limited impact of COVID-19-related diagnostic delay on cutaneous melanoma and squamous cell carcinoma tumour characteristics: a nationwide pathology registry analysis.

Authors:  Tobias E Sangers; Marlies Wakkee; Eline C Kramer-Noels; Tamar Nijsten; Marieke W J Louwman; Elisabeth H Jaspars; Loes M Hollestein
Journal:  Br J Dermatol       Date:  2022-05-01       Impact factor: 11.113

2.  Impact of the COVID-19 Pandemic on the Diagnosis and Prognosis of Melanoma.

Authors:  Antonio Martinez-Lopez; Pablo Diaz-Calvillo; Carlos Cuenca-Barrales; Trinidad Montero-Vilchez; Manuel Sanchez-Diaz; Agustin Buendia-Eisman; Salvador Arias-Santiago
Journal:  J Clin Med       Date:  2022-07-19       Impact factor: 4.964

3.  Healthcare and safety of patients with melanoma during the COVID-19 Pandemic in Italy.

Authors:  S Caini; M Brusasco; G Niero; V De Giorgi; M Lombardo; C Massone; M Medri; G Palmieri; M A Pizzichetta; P Quaglino; R Satta; C Feliciani; S Gandini; I Stanganelli
Journal:  J Eur Acad Dermatol Venereol       Date:  2022-03-19       Impact factor: 9.228

4.  Emergency Use and Efficacy of an Asynchronous Teledermatology System as a Novel Tool for Early Diagnosis of Skin Cancer during the First Wave of COVID-19 Pandemic.

Authors:  Antal Jobbágy; Norbert Kiss; Fanni Adél Meznerics; Klára Farkas; Dóra Plázár; Szabolcs Bozsányi; Luca Fésűs; Áron Bartha; Endre Szabó; Kende Lőrincz; Miklós Sárdy; Norbert Miklós Wikonkál; Péter Szoldán; András Bánvölgyi
Journal:  Int J Environ Res Public Health       Date:  2022-02-25       Impact factor: 4.614

5.  The Impact of COVID-19 Confinement on Tinnitus and Hearing Loss in Older Adults: Data From the LOST in Lombardia Study.

Authors:  Carlotta Micaela Jarach; Alessandra Lugo; Chiara Stival; Cristina Bosetti; Andrea Amerio; Luca Cavalieri d'Oro; Licia Iacoviello; Anna Odone; David Stuckler; Alberto Zucchi; Piet van den Brandt; Werner Garavello; Christopher R Cederroth; Winfried Schlee; Silvano Gallus
Journal:  Front Neurol       Date:  2022-03-07       Impact factor: 4.003

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.