Evidence map›Paper›PMID 36900138›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Differentiation of Spontaneous Bacterial Peritonitis from Secondary Peritonitis in Patients with Liver Cirrhosis: Retrospective Multicentre Study.

Silvia Würstle, Alexander Hapfelmeier, Siranush Karapetyan, Fabian Studen, Andriana Isaakidou, Tillman Schneider, Roland M Schmid, Stefan von Delius, Felix Gundling, Rainer Burgkart and 10 more

Full text read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

20 authors.

Silvia WürstleDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0003-0787-3894
Alexander HapfelmeierInstitute of General Practice and Health Services Research, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0001-6765-6352
Siranush KarapetyanInstitute of AI and Informatics in Medicine, School of Medicine, Technical University of Munich, Einsteinstr. 25, 81675 Munich, Germany.
Fabian StudenDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Andriana IsaakidouDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0002-2680-8492
Tillman SchneiderDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0002-5431-2507
Roland M SchmidDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Stefan von DeliusDepartment of Internal Medicine II, RoMed Hospital Rosenheim, Pettenkoferstr. 10, 83022 Rosenheim, Germany.
Felix GundlingDepartment of Gastroenterology, Hepatology, and Gastrointestinal Oncology, Bogenhausen Hospital of the Munich Municipal Hospital Group, Englschalkinger Straße 77, 81925 Munich, Germany.ORCID 0000-0002-8771-2996
Rainer BurgkartClinic of Orthopaedics and Sports Orthopaedics, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Andreas ObermeierClinic of Orthopaedics and Sports Orthopaedics, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0002-1774-5194
Ulrich MayrDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Marc RingelhanDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0003-3131-5657
Sebastian RaschDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Tobias LahmerDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Fabian GeislerDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Paul E TurnerDepartment of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven, CT 06520, USA.
Benjamin K ChanDepartment of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven, CT 06520, USA.
Christoph D SpinnerDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0002-3875-5367
Jochen SchneiderDepartment of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0002-0300-0159

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Ascitic fluid infection is a serious complication of liver cirrhosis. The distinction between the more common spontaneous bacterial peritonitis (SBP) and the less common secondary peritonitis in patients with liver cirrhosis is crucial due to the varying treatment approaches. This retrospective multicentre study was conducted in three German hospitals and analysed 532 SBP episodes and 37 secondary peritonitis episodes. Overall, >30 clinical, microbiological, and laboratory parameters were evaluated to identify key differentiation criteria. Microbiological characteristics in ascites followed by severity of illness and clinicopathological parameters in ascites were the most important predictors identified by a random forest model to distinguish between SBP and secondary peritonitis. To establish a point-score model, a least absolute shrinkage and selection operator (LASSO) regression model selected the ten most promising discriminatory features. By aiming at a sensitivity of 95% either to rule out or rule in SBP episodes, two cut-off scores were defined, dividing patients with infected ascites into a low-risk (score ≥ 45) and high-risk group (score < 25) for secondary peritonitis. Overall, the discrimination of secondary peritonitis from SBP remains challenging. Our univariable analyses, random forest model, and LASSO point score may help clinicians with the crucial differentiation between SBP and secondary peritonitis.

Indexed as

ascitesliver cirrhosisSBPsecondary peritonitisspontaneous bacterial peritonitis

Identifiers

PMID36900138
PMCPMC10000989

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Textfull text, public
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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.