{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T03:19:26Z","timestamp":1783048766497,"version":"3.54.6"},"reference-count":41,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T00:00:00Z","timestamp":1742515200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T00:00:00Z","timestamp":1742515200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Liver International"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Gallbladder and biliary tract cancer (GBTC) is a serious disease burden. A comprehensive assessment of the disease burden is essential for improving prevention and treatment strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The estimated annual percentage change, Joinpoint regression analysis and age\u2010period\u2010cohort model (APCM) were used to comprehensively evaluate the current status and trend of GBTC burden from 1990 to 2021 from the Global Burden of Disease Study. From the perspective of deep learning, a hierarchical weighted long short\u2010term memory network model (SW\u2010LSTM) is proposed for trend prediction to overcome the shortcomings of traditional models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The global GBTC burden increased non\u2010linearly with age, which was higher in women than in men. With the increase of SDI, the gender difference showed a decreasing trend. Significant period and cohort effects were observed for the indicators in the remaining regions except for some indicators in the low\u2010and low\u2010middle\u2010SDI regions. Age\u2010standardised indicators in the high, high\u2010middle and middle SDI regions showed a downward trend, while the remaining regions showed an upward trend. The proportion of age\u2010standardised mortality rate attributable to high BMI increased with the increase of SDI. The prediction results showed that the SW\u2010LSTM model outperformed the APCM\u00a0and ARIMA models in prediction accuracy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The SW\u2010LSTM model proposed in this paper can provide more accurate prediction information to assist in the development of more targeted prevention strategies. In view of the impact of GBTC on global health, especially among women and the elderly, effective measures should be taken to reverse the increasing trend of GBTC.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/liv.70025","type":"journal-article","created":{"date-parts":[[2025,3,23]],"date-time":"2025-03-23T08:56:06Z","timestamp":1742720166000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The Global and Regional Burden of Gallbladder and Biliary Tract Cancer and Attributable Risk Factors: Trends and Predictions"],"prefix":"10.1111","volume":"45","author":[{"given":"Shuping","family":"Qiu","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics Fujian Normal University  Fuzhou Fujian China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanting","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics Fujian Normal 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