Evidence map›Paper›PMID 34079348›Full record

ArticleInternational journal of general medicine2021

Establishment and Evaluation of a Time Series Model for Predicting the Seasonality of Acute Upper Gastrointestinal Bleeding.

Zhaoli Fu, Xujie Xi, Beiping Zhang, Yanfeng Lin, Aling Wang, Jianmin Li, Ming Luo, Tianwen Liu

Abstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhaoli Fu *Department of Spleen and Stomach Diseases, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, People's Republic of China.
Xujie Xi *Department of Spleen and Stomach Diseases, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, People's Republic of China.
Beiping ZhangDepartment of Spleen and Stomach Diseases, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, People's Republic of China.
Yanfeng LinDepartment of Spleen and Stomach Diseases, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, People's Republic of China.
Aling WangDepartment of Spleen and Stomach Diseases, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, People's Republic of China.
Jianmin LiDepartment of Spleen and Stomach Diseases, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, People's Republic of China.
Ming LuoDepartment of Spleen and Stomach Diseases, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, People's Republic of China.
Tianwen LiuDepartment of Spleen and Stomach Diseases, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to establish and evaluate a time series model for predicting the seasonality of acute upper gastrointestinal bleeding (UGIB).

methodsPatients with acute UGIB who were admitted to the Emergency Department and Gastrointestinal Endoscopy Center of Guangdong Provincial Hospital of Traditional Chinese Medicine from January 2013 to December 2019 were enrolled in the present study. The incidence trend of UGIB was analyzed by seasonal decomposition method. Then, exponential smoothing model and autoregressive integrated moving average model (ARIMA) were used to establish the model and forecast, respectively.

resultsFinally, the exponential smoothing model with better fitting and prediction effect was selected. The smooth R2 was 0.586, and the Ljung-Box Q (18) statistic value was 22.272 (P = 0.135). The incidence of UGIB had an obvious seasonal trend, with a peak in annual January and a seasonal factor of 140%. After that, the volatility had gradually declined, with a trough in August and a seasonal factor of 67.8%. Since then, it had gradually increased.

conclusionThe prediction effect of exponential smoothing model is better, which can provide prevention and treatment strategies for UGIB, and provide objective guidance for more medical staff in Emergency Department and Gastrointestinal Endoscopy Center during the peak period of UGIB.

Indexed as

acute upper gastrointestinal bleedingautoregressive integrated moving average modelexponential smoothing modelincidence trendseasonalitytime series model

Identifiers

PMID34079348
PMCPMC8165302

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