Evidence map›Paper›PMID 38317749›Full record

ArticleTranslational gastroenterology and hepatology2024

The outcomes of COVID-19 and acute pancreatitis: a systematic review and meta-analysis.

Caiyu Zhu, Haijuan Wu, Xiangyu Yang, Jian Gao

Abstract read
In one paragraph

Article in Translational gastroenterology and hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Caiyu ZhuDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Haijuan WuDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiangyu YangDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jian GaoDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease 2019 (COVID-19) was first reported in China at the end of 2019. Several case studies have documented a probable association between infection with severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) and acute pancreatitis (AP). The objective of this study was to provide a complete analysis of existing literature that compares the clinical outcomes of AP in patients with COVID-19 and those without COVID-19. The intention was to further our understanding of the involvement of SARS-CoV-2 in the development of pancreatitis. Methods: Between January 2019 and December 2022, we searched PubMed, Embase, Cochrane Library, Web of Science, and Scopus. Nine studies (3,160 patients) were included. In this meta-analysis, Stata 12.0. was utilized. The information provided in this study is presented following the MOOSE reporting checklist. Results: Mortality [odds ratio (OR) =3.95, 95% confidence interval (CI): 2.87, 5.43, P<0.001], intensive care unit (ICU) administration (OR =3.74, 95% CI: 2.26, 6.20, P<0.001), mechanical ventilation (OR =4.84, 95% CI: 2.14, 10.96, P<0.001), severe pancreatitis (OR =2.71, 95% CI: 1.04, 7.04, P=0.042), etiology of idiopathic and unknown (OR =4.75, 95% CI: 1.80, 12.56, P=0.002), necrotizing pancreatitis (OR =1.88, 95% CI: 1.28, 2.76, P=0.001), and length of hospital stay [weighted mean difference (WMD) =5.10, 95% CI: 2.79, 7.41, P<0.001] were more significantly increased in AP cases with COVID-19 than those without it. Conclusions: In conclusion, the findings of this study indicate a potential worsening of AP outcomes in patients affected by COVID-19.

Indexed as

acute pancreatitis (AP)Coronavirus disease 2019 (COVID-19)severe acute respiratory syndrome corona virus 2 (SARS-CoV-2)

Identifiers

PMID38317749
PMCPMC10838611

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.