Evidence map›Paper›PMID 35692952›Full record

ArticleJournal of inflammation research2022

Thrombo-Inflammatory Prognostic Scores Improve BISAP-Based Risk Stratification in Acute Pancreatitis Patients: A Retrospective Cohort Study.

Tianyong Han, Tao Cheng, Ye Liao, Qiang Lai, Shiyuan Tang, Bofu Liu, Yarong He, Chenxi Lei, Yuling Cao, Yu Cao

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

10 authors at 2 institutions in 1 country.

Tianyong Han *Emergency Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
Tao Cheng *Emergency Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
Ye LiaoMedical Intensive Care Unit, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
Qiang LaiEmergency Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
Shiyuan TangEmergency Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
Bofu LiuEmergency Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
Yarong HeEmergency Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
Chenxi LeiEmergency Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
Yuling CaoOperations Management Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
Yu CaoEmergency Department, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China.
West China Hospital of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The thrombo-inflammatory prognostic score (TIPS) and the bedside index for severity in acute pancreatitis (BISAP) are both scoring systems that enable the rapid prognostic assessment of early-stage acute pancreatitis (AP) patients, but the overall prognostic utility of these individual systems is limited. This study was thus developed to explore whether a combination of TIPS and BISAP scores would offer better insight to facilitate the risk stratification of AP patients. Methods: This single-center retrospective cohort research evaluated AP cases referred to the emergency department from January 1, 2017 to September 30, 2017. The ability of TIPS scores to improve BISAP-based AP patient risk stratification was appraised employing the curves of receiver-operating characteristic (ROC) and decision curve analysis (DCA) approaches. The initial endpoint for this research was 28-day mortality, while secondary endpoints comprised intensive care unit admission (AICU) and mechanical ventilation (MV) over a 28-day follow-up period. Results: Totally, 440 cases enrolled in the current study were divided at a ratio of 1:1 to derivation and validation cohorts. When estimating 28-day mortality, the combination of TIPS and BISAP (T-BISAP) improved the area under the curve (AUC) value in the derivation group from 0.809 to 0.903 (P < 0.05), in addition to similarly improving this AUC value from 0.709 to 0.853 (P < 0.05) in the validation cohort. Moreover, T-BISAP significantly improved the AUC values for 28-day AICU from 0.751 to 0.824 (P < 0.05) and the AUC values for 28-day MV from 0.755 to 0.808 (P < 0.05). A DCA approach revealed T-BISAP to exhibit higher net benefit when used for patient risk stratification as compared to BISAP alone. Conclusion: The addition of TIPS scores to BISAP scores can enable prediction of 28-day adverse clinical outcomes with AP patients in the ED.

Indexed as

acute pancreatitisbedside index for severity in acute pancreatitisBISAPprognosisrisk stratificationthrombo-inflammatory prognostic scoreTIPS

Identifiers

PMID35692952
PMCPMC9176634
OpenAlexW4281767359

What OpenQuestion holds

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LicenceCC BY-NC
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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.