Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling
, Mireia Vilardell 7, Rafael Marcos-Gragera 4,8,9,10, Sònia Paytubi 1,2, Jordi Ponce 2,11, José Manuel Martínez 2,11, Marta Pineda 12, Joan Brunet 2,12,13,14, Xavier Matías-Guiu 2,13,15, Marià Carulla 5,6, Jaume Galceran 5,6, Ángel Izquierdo 8,12,14,16, Josep M. Borràs 2,17, Laura Costas 1,2,4,*,† and Ramon Clèries 2,17,18,*,†Round 1
Reviewer 1 Report
I was pleased to review this paper.
- The methodology used by the Authors is appropriate for the purpose of the study and conclusions are narrow linked to data discussion and available evidence. The English language is fluid and well understood. Nevertheless, the paper is of good quality, I would have added just more recent studies, for this is need a minor revision.
I suggest this:
- Why was mortality data available from the entire Catalan territory, while was incidence data retrieved from two existing regional population-based cancer registries in Catalonia?
- Ovarian cancer incidence and mortality is expected to decrease in Catalonia by 2030, probably due to the increase in hormonal contraceptive use, the decline of HT and improvements in health systems, in this regard, I recommend. to add a greater number of arguments than the international literature, so as to define everything in the best way.
The results are consistent with the study. Corrected the method used in the work, given the statistical results obtained. New study scenarios are opening up for the future.
Author Response
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Author Response.pdf
Reviewer 2 Report
The aim of this paper is order to predict changes in OC incidence and mortality in Catalonia by 2030, and describe their biological plausibility. This information may be of interest from a public health perspective, , especially in Europe. However, the manuscript requires some corrections before being accepted. The list of comments below.
- Abstract:
The abstract should be without headings
107-110: Sentence ” OC has the lowes…” divide on two please
121-126: divide the sentences into gynaecological procedures or conditions, and description of lifestyle factors
121: Replace ”con-ditions” on “conditions”
120: Replace “hormonal con-traceptives” on “ hormonal contraceptives”
130: Replace “re-gions of” on “regions”
131: Replace “hor-monal”
Methods:
Please described more specific details of this statistical modelling . The presented article will be more readable. In your previous cited article, Cleries R. et al. 2018, the Bashir-Estève method , to divided the net change in the number of cases between 2015 and 2025 was used. In the presented manuscript we have got a Bayesian autoregressive age–period–cohorts models.
Author Response
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