ArticleBMC gastroenterology2021
Study protocol P-MAPS: microbiome as predictor of severity in acute pancreatitis-a prospective multicentre translational study.
Article in BMC gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04777812 (Pancreatitis - Microbiome As Predictor of Severity), which is not on this map. Cited by 4 papers.
What it found
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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.
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.
Pancreatitis - Microbiome As Predictor of Severity
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Gut microbiota predict development of postdischarge diabetes mellitus in acute pancreatitis.Gut · 2026Article
- Pharmacological Potential of Cinnamic Acid and Derivatives: A Comprehensive Review.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Gut microbiota predicts severity and reveals novel metabolic signatures in acute pancreatitis.Gut · 2024Article
- [The role of the microbiome in diseases of the pancreas].Der Internist · 2022Review
Corrections and comments
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Authors and funding
19 authors at 9 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute pancreatitis (AP) is an inflammatory disorder that causes a considerable economic health burden. While the overall mortality is low, around 20% of patients have a complicated course of disease resulting in increased morbidity and mortality. There is an emerging body of evidence that the microbiome exerts a crucial impact on the pathophysiology and course of AP. For several decades multiple clinical and laboratory parameters have been evaluated, and complex scoring systems were developed to predict the clinical course of AP upon admission. However, the majority of scoring systems are determined after several days and achieve a sensitivity around 70% for early prediction of severe AP. Thus, continued efforts are required to investigate reliable biomarkers for the early prediction of severity in order to guide early clinical management of AP patients.
methodsWe designed a multi-center, prospective clinical-translational study to test whether the orointestinal microbiome may serve as novel early predictor of the course, severity and outcome of patients with AP. We will recruit 400 AP patients and obtain buccal and rectal swabs within 72 h of admission to the hospital. Following DNA extraction, microbiome analysis will be performed using 3rd generation sequencing Oxford Nanopore Technologies (ONT) for 16S rRNA and metagenomic sequencing. Alpha- and beta-diversity will be determined and correlated to the revised Atlanta classification and additional clinical outcome parameters such as the length of hospital stay, number and type of complications, number of interventions and 30-day mortality. DISCUSSION: If AP patients show a distinct orointestinal microbiome dependent on the severity and course of the disease, microbiome sequencing could rapidly be implemented in the early clinical management of AP patients in the future.
trial registrationClinicalTrials.gov Identifier: NCT04777812.
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