Evidence map›Paper›PMID 38722410›Full record

ArticleDigestive diseases and sciences2024

Changing Trends in the Global Disease Burden of Pancreatic Cancer from 1990 to 2030.

Haoyu An, Hanqian Dai, Xiaomeng Liu

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Article in Digestive diseases and sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Haoyu AnSchool of Medicine, The Chinese University of Hong Kong, Shatin, 999077, NT, Hong Kong. 1155199943@link.cuhk.edu.hk.
Hanqian DaiTianyuan Honors School, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Xiaomeng LiuSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the global burden of pancreatic cancer (PC) from 1990 to 2019, evaluate independent effects of age, period, and cohort on the incidence of PC, and predict the incidence of PC in the next decade.

methodsData were obtained from the Global Burden of Disease Study 2019. We calculated the age-standardized disability-adjusted life years (DALY) rate, age-standardized mortality rate (ASMR), age-standardized incidence rate (ASIR), and age-standardized prevalence rate (ASPR) of PC. Joinpoint Poisson regression analysis was performed to identify the temporal trends in the incidence of PC. Then, a two-factor model was constructed using the Poisson log-linear model, and a three-factor model was constructed using the intrinsic estimator (IE) method to estimate the independent effects of age, period, and cohort on the incidence of PC. Finally, the Bayesian age-period-cohort (BAPC) model was also used to predict the age-standardized global incidence rate of PC and age-standardized new PC cases from 2020 to 2030.

resultsOverall, the DALY rate, ASMR, ASIR, and ASPR all increased from 1990 to 2019. The ASIR in males increased from 6 per 100,000 in 1990 to 7.5 per 100,000 in 2019 and was predicted to rise to 8.2 per 100,000 by 2030. Meanwhile, the ASIR in females rose from 4.5 per 100,000 in 1990 to 5.7 per 100,000 in 2019 and was predicted to rise to 6.3 per 100,000 by 2030. The age effect on the incidence of PC showed sharp increasing trends from 40 to 79 years. The period effect continuously increased with advancing periods, but the cohort effect showed substantial decreasing trends.

conclusionsThe age and period effect on the incidence of PC presented increasing trends, while the cohort effect showed decreasing trends. All indicators of the global burden of PC are increasing in both males and females, and the ASIR is predicted to rise at an alarming rate by 2030. Thus, timely screening and intervention are recommended, especially for earlier birth cohorts at high risk.

Indexed as

Global Burden of DiseasePancreatic NeoplasmsAdultAgedAged, 80 and overAge DistributionBayes TheoremDisability-Adjusted Life YearsFemaleGlobal HealthHumansIncidenceMaleMiddle AgedPrevalenceTime FactorsAge-period-cohort effectBayesian age-period-cohort modelDisease burdenJoinpoint regression analysisPancreatic cancerTrends

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.