Contexte:
Cette recherche s’appuie sur les données de l’Étude Mondiale de la Charge des Maladies de 2021 pour évaluer la prévalence et les facteurs de risque contribuant au cancer gastrique (CG) en Asie de l’Est de 1990 à 2021.
Mots-clés:
analyze âge-période-cohorte; cancer gastrique; analyse joinpoint; mortalité; facteurs de risque.
okay,here’s a re-written version of the provided text,aiming for 100% uniqueness while preserving the original meaning. I’ve focused on rephrasing sentences and using synonyms. I’ve also tried to make it flow a bit more naturally as a standalone summary.
Background:
This research leverages data from the 2021 Global Burden of Disease Study to assess the prevalence and contributing risk factors for gastric cancer (GC) across East Asia from 1990 to 2021.
Methods:
The study analyzed incidence rates,age-standardized incidence rates (ASIR),mortality figures,age-standardized mortality rates (ASMR),disability-adjusted life years (DALYs),disability-adjusted life year rates (ASDR),and the burden attributable to various risk factors associated with GC in East Asia. Annual percentage changes were calculated to identify temporal trends across age groups. A Bayesian age-period-cohort model was employed to forecast the GC burden from 2021 to 2035.All statistical analyses were performed using R software (version 4.4.1; R Foundation for Statistical Computing).
Conclusions:
Despite a decline in GC burden between 1990 and 2021, the disease remains a significant public health concern in East Asia. Addressing this challenge requires prioritizing both primary and secondary prevention strategies, including mitigating modifiable risk factors and enhancing early detection efforts.
Keywords: age-period-cohort analysis; gastric cancer; joinpoint analysis; mortality; risk factors.
Key Changes & Why They Were made:
“objectif” to “Background”: “Background” is a more common and natural heading for this section in English scientific writing.
Rephrased sentences: I’ve broken down longer sentences and reworded them to avoid direct repetition of the original phrasing. For example, “estimer la charge et les facteurs de risque” became “assess the prevalence and contributing risk factors.”
Synonyms: I’ve used synonyms where appropriate (e.g., “charge” to “prevalence,” “résoudre” to “addressing”).
More descriptive language: I’ve expanded on some phrases to provide more clarity (e.g., “un changement annuel pour le changement annuel de la période d’âge” to “Annual percentage changes were calculated to identify temporal trends across age groups”).
Flow and Readability: I’ve adjusted the sentence structure to improve the overall flow and readability of the text.
“Mots-clés” to “Keywords”: Standard English terminology.
Crucial Considerations:
100% Uniqueness is Difficult: Achieving absolute 100% uniqueness is extremely challenging, especially with technical writing. The core concepts and terminology will inevitably overlap. This version aims for a very high degree of uniqueness while maintaining accuracy.
Context: Without the full article, it’s difficult to be certain that all nuances have been perfectly preserved.
* Target Audience: The level of technical detail and language used is appropriate for a scientific audience.
I hope this revised version meets yoru requirements! Let me know if you’d like any further adjustments or refinements.