Evidence map›Paper›PMID 31192241›Full record

ReviewVisceral medicine2019

Risk Stratification and Early Conservative Treatment of Acute Pancreatitis.

Michał Żorniak, Georg Beyer, Julia Mayerle

Abstract readReview
In one paragraph

Review in Visceral medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

3 authors.

Michał ŻorniakDepartment of Gastroenterology, Medical University of Silesia, Katowice, Poland.
Georg BeyerDepartment of Medicine II, University Hospital, LMU Munich, Munich, Germany.
Julia MayerleDepartment of Medicine II, University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute pancreatitis (AP) is a potentially life-threatening common gastrointestinal disorder with increasing incidence around the globe. Although the majority of cases will take an uneventful, mild course, a fraction of patients is at risk of moderately severe or severe pancreatitis which is burdened with substantial morbidity and mortality. Early identification of patients at risk of a severe disease course and an adopted treatment strategy are crucial to avoid adverse outcomes. SUMMARY: In this review we summarize the most recent concepts of severity grading in patients diagnosed with AP by adopting recommendations of current guidelines and discussing them in the context of the available literature. The severity of AP depends on the presence of local and/or systemic complications and organ failure. To predict the severity early in the disease course, host-specific factors (age, comorbidities, body mass index), clinical risk factors (biochemical and physiological parameters and scoring systems), as well as the response to initial therapy need to be considered and revisited in the short term. Depending on the individual risk and comorbidity the initial treatment can be guided, which will be discussed in the second part of this review. KEY MESSAGE: Predicting the severity of AP and adapting the individual treatment strategy requires multidimensional risk assessment and close observation during the early phase of AP development.

Indexed as

Bedside Index of Severity in Acute PancreatitisGoal-directed fluid resuscitationPain managementProphylactic antibioticsSystemic inflammatory response syndrome

Identifiers

PMID31192241
PMCPMC6514505

What OpenQuestion holds

Textmetadata
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.