Evidence map›Paper›PMID 34720534›Full record

ArticleWorld journal of gastroenterology2021

Effects of acute kidney injury on acute pancreatitis patients' survival rate in intensive care unit: A retrospective study.

Ni Shi, Guo-Dong Sun, Yuan-Yuan Ji, Ying Wang, Yu-Cheng Zhu, Wan-Qiu Xie, Na-Na Li, Qiu-Yuan Han, Zhi-Dong Qi, Rui Huang and 9 more

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

19 authors.

Ni ShiDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Guo-Dong SunDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China.
Yuan-Yuan JiDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China.
Ying WangDepartment of Critical Care Medicine, The First People Hospital of Mudanjiang city, Mudanjiang 157000, Heilongjiang Province, China.
Yu-Cheng ZhuDepartment of Critical Care Medicine, The Hongxinglong Hospital of Beidahuang Group, Shuangyashan 155811, Heilongjiang Province, China.
Wan-Qiu XieDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China.
Na-Na LiDepartment of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China.
Qiu-Yuan HanDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Zhi-Dong QiDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Rui HuangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Ming LiDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Zhen-Yu YangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Jun-Bo ZhengDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Xing ZhangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Qing-Qing DaiDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Gui-Ying HouDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Yan-Song LiuDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Hong-Liang WangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China.
Yang GaoDepartment of Critical Care Medicine, The Sixth Affiliated Hospital of Harbin Medical University, Harbin 150028, Heilongjiang Province, China. gaoyang0312@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is one of the most common acute pancreatitis (AP)-associated complications that has a significant effect on AP, but the factors affecting the AP patients' survival rate remains unclear.

aimTo assess the influences of AKI on the survival rate in AP patients.

methodsA total of 139 AP patients were included in this retrospective study. Patients were divided into AKI group (

resultsAKI is more likely to occur in male AP patients (

conclusionAP patients with AKI had a lower survival rate and worse relevant clinical outcomes than AP patients without AKI, which necessitates further attention to AP patients with AKI in surgical intensive care unit.

Indexed as

Acute Kidney InjuryPancreatitisAcute DiseaseHumansIntensive Care UnitsMalePrognosisRetrospective StudiesRisk FactorsSurvival RateAcute kidney injuryAcute pancreatitisIntra-peritoneal pressureRisk factorsSurgical intensive care unitSurvival rate

Identifiers

PMID34720534
PMCPMC8517775

What OpenQuestion holds

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Registered trials

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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.