Evidence map›Paper›PMID 36545188›Full record

ArticleGE Portuguese journal of gastroenterology2022

A Predictive Model for Avoiding Follow-Up Paracentesis in Spontaneous Bacterial Peritonitis.

Ana Luísa Santos, Rosa Coelho, Marco Silva, Rui Morais, Hélder Cardoso, Guilherme Macedo

Open access · diamondAbstract read
In one paragraph

Article in GE Portuguese journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 77% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Ana Luísa SantosGastroenterology Department, Centro Hospitalar Universitário de São João, São João, Portugal.
Rosa CoelhoGastroenterology Department, Centro Hospitalar Universitário de São João, São João, Portugal.
Marco SilvaGastroenterology Department, Centro Hospitalar Universitário de São João, São João, Portugal.
Rui MoraisGastroenterology Department, Centro Hospitalar Universitário de São João, São João, Portugal.
Hélder CardosoGastroenterology Department, Centro Hospitalar Universitário de São João, São João, Portugal.
Guilherme MacedoGastroenterology Department, Centro Hospitalar Universitário de São João, São João, Portugal.
Hospital de São João · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent studies suggest that follow-up paracentesis (FuP) in cases of spontaneous bacterial peritonitis (SBP) should only be performed if there is a clinical and/or analytic worsening. We aimed to evaluate which patients with SBP would benefit from the FuP. Métodos: This retrospective study included consecutive patients diagnosed with SBP between January 2011 and June 2018 in our tertiary center. Clinical and analytical data were obtained at baseline and on the third day of antibiotic therapy. An adequate response on the third day of treatment was defined by a decrease of ≥25% in the neutrophil count of the ascitic fluid (AF). Results: Ninety-six episodes of PBE in 75 patients (79% male sex, mean age 61 ± 11 years old) were included. At admission, a higher serum neutrophil count ( Conclusions: The performance of FuP on day 3 after the beginning of empiric therapy should be individualized, according to clinical and analytic variables of this predictive model.

Indexed as

AntibioticsCirrhosisLiverParacentesisSpontaneous bacterial peritonitis

Identifiers

PMID36545188
PMCPMC9761355
OpenAlexW3217067793

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.