Evidence map›Paper›PMID 32671442›Full record

ArticleAbdominal radiology (New York)2020

Infected versus sterile abdominal fluid collections in postoperative CT: a scoring system based on clinical and imaging findings.

Christoph G Radosa, Julia C Radosa, Michael Laniado, Julia Brandt, Johannes Streitzig, Danilo Seppelt, Andreas Volk, Verena Plodeck, Jens P Kühn, Ralf-Thorsten Hoffmann

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Christoph G RadosaInstitute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany. Christoph.radosa@uniklinikum-dresden.de.ORCID http://orcid.org/0000-0002-1127-4408
Julia C RadosaDepartment of Gynecology & Obstetrics, Saarland University Hospital, Kirrbergerstraße 100, 66421, Homburg, Saar, Germany.
Michael LaniadoInstitute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Julia BrandtInstitute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Johannes StreitzigInstitute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Danilo SeppeltInstitute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Andreas VolkDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Verena PlodeckInstitute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Jens P KühnInstitute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Ralf-Thorsten HoffmannInstitute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCharacterization of intraabdominal fluid collections as postoperative complication is a challenging task. The aim was to develop and validate a new score to differentiate infected from sterile postoperative abdominal fluid collections and to compare it with a published score. MATERIALS AND

methodsFrom May to November 2015, all patients with postoperative CT and C-reactive protein (CRP) 24 hours before CT-guided drainage were retrospectively included (Group A). HU, gas entrapment and wall enhancement of fluid collections were evaluated in the CT. All parameters were correlated with microbiology. To validate the score and to compare it with a published score, a second patient cohort was retrospectively recruited (Group B; January 2013-April 2015; December 2015-September 2016).

resultsIn Group A (50 patients), univariate analysis confirmed that the four parameters were significantly associated with infected fluid collections. Based on binary logistic regression analysis, a score from 0 to 11 was developed (CRP </≥ 150 mg/l: 0/4 points; HU </≥ 20: 0/2 points; wall enhancement no/yes: 0/2 points; gas entrapment no/yes: 0/3 points). The best cutoff to diagnose infected fluid collections was ≥ 5 points (sensitivity 85%, specificity 79%, PPV 82%, NPV 79%). In Group B (425 patients), this score yielded sensitivity, specificity, PPV and NPV of 93%, 80%, 90% and 86%, respectively. For the published score, values were in the same range (93%, 44%, 77%, 77%).

conclusionThe score provides good discrimination between infected and sterile postoperative abdominal fluid collections. It yields comparable accuracy as the published score.

Indexed as

DrainageTomography, X-Ray ComputedC-Reactive ProteinHumansPostoperative ComplicationsRetrospective StudiesC-Reactive ProteinComputed tomographyDrainageFluid collectionIntraabdominal infectionsScoring methods

Identifiers

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.