Evidence map›Paper›PMID 31515723›Full record

ArticleDigestive diseases and sciences2020

Comparison of Scoring Systems in Predicting Severity and Prognosis of Hypertriglyceridemia-Induced Acute Pancreatitis.

Man Li, Xiao-Kang Xing, Zhi-Hua Lu, Feng Guo, Wei Su, Yong-Jun Lin, Dong-Hai Wang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Digestive diseases and sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 9% of its field
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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. The Diagnostic Value of Procalcitonin in Patients with Severe Acute Pancreatitis: A Meta-Analysis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2022
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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

7 authors at 2 institutions in 1 country.

Man LiDepartment of Critical Care Medicine, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, 3 East Qingchun Road, Hangzhou, 310016, China.
Xiao-Kang XingDepartment of Critical Care Medicine, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, 3 East Qingchun Road, Hangzhou, 310016, China.
Zhi-Hua LuDepartment of Critical Care Medicine, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, 3 East Qingchun Road, Hangzhou, 310016, China.
Feng GuoDepartment of Critical Care Medicine, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, 3 East Qingchun Road, Hangzhou, 310016, China. 3408003@zju.edu.cn.
Wei SuDepartment of Critical Care Medicine, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, 3 East Qingchun Road, Hangzhou, 310016, China.
Yong-Jun LinDepartment of Critical Care Medicine, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, 3 East Qingchun Road, Hangzhou, 310016, China.
Dong-Hai WangDepartment of Critical Care Medicine, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, 3 East Qingchun Road, Hangzhou, 310016, China.
Zhejiang University · CNSir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn China, hyperlipidemia is the second major reason of acute pancreatitis.

aimsComparison of Scoring Systems in identification patients at risk for severe acute pancreatitis (SAP), pancreatic necrosis (PNec), and infected pancreatic necrosis (IPN) early in the course of hypertriglyceridemia-induced acute pancreatitis (HTG-AP).

methodsPredictive accuracy of scoring systems was measured by the area under the receiver operating characteristic curve (AUC) in a retrospective study. Pairwise AUC comparisons were performed to calculate the difference between scoring systems.

resultsA total of 238 patients diagnosed with HTG-AP were included. Sixty patients (25.2%) were classified as SAP. Twenty-nine patients (12.2%) had evidence of PNec. Nine patients (3.8%) were diagnosed with IPN. One patient (0.4%) died during hospitalization. In predicting SAP in HTG-AP, the AUCs of APACHE-II, SOFA, SIRS, Ranson's, BISAP, and MMS were 0.77, 0.83, 0.73, 0.88, 0.83, and 0.85, respectively; in predicting PNec, were 0.75, 0.77, 0.75, 0.86, 0.80, and 0.75, respectively; and in predicting IPN, were 0.92, 0.86, 0.76, 0.85, 0.84, and 0.87, respectively. Pairwise AUC comparisons revealed that Ranson's, MMS, BISAP, and SOFA had higher accuracy than SIRS, Ranson's and MMS had higher accuracy than APACHE-II in predicting SAP; Ranson's had the same accuracy with BISAP, but higher than other four criteria in predicting PNec; APACHE-II had higher accuracy than SIRS in predicting IPN.

conclusionsAPACHE-II had high performance in predicting IPN, and all other score systems had medium performance in predicting SAP, PNec, and IPN in HTG-AP. Each score has its merit and weakness; BISAP may be the best criterion in predicting severity and prognosis of HTG-AP.

Indexed as

APACHESeverity of Illness IndexAdultAgedChinaFemaleHumansHypertriglyceridemiaMaleMiddle AgedPancreatitisPredictive Value of TestsPrognosisRetrospective StudiesROC CurveTomography, X-Ray ComputedHypertriglyceridemiaInfected pancreatic necrosisPancreatic necrosisSevere acute pancreatitis

Identifiers

PMID31515723
OpenAlexW2972712109

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.