Evidence map›Paper›PMID 28853729›Full record

ArticleThe American journal of gastroenterology2017

Predictors of Early Readmission in Patients With Cirrhosis After the Resolution of Bacterial Infections.

Salvatore Piano, Filippo Morando, Giovanni Carretta, Marta Tonon, Elia Vettore, Silvia Rosi, Marialuisa Stanco, Chiara Pilutti, Antonietta Romano, Alessandra Brocca and 3 more

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Article in The American journal of gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

  1. Interpreting the REACT Score Using the PREDICT Study Framework.Liver international : official journal of the International Association for the Study of the Liver · 2026
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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

13 authors at 1 institution in 1 country.

Salvatore PianoUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Filippo MorandoUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Giovanni CarrettaMedical Directorate, Hospital of Padova, Padova, Italy.
Marta TononUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Elia VettoreUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Silvia RosiUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Marialuisa StancoUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Chiara PiluttiUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Antonietta RomanoUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Alessandra BroccaUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Antonietta SticcaUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
Daniele DonatoMedical Directorate, Hospital of Padova, Padova, Italy.
Paolo AngeliUnit of Internal Medicine and Hepatology (UIMH), Department of Medicine (DIMED), University of Padova, Padova, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn patients with cirrhosis, infections represent a frequent trigger for complications, increasing frequency of hospitalizations and mortality rate. This study aimed to identify predictors of early readmission (30 days) and of mid-term mortality (6 months) in patients with liver cirrhosis discharged after a hospitalization for bacterial and/or fungal infection.

methodsA total of 199 patients with cirrhosis discharged after an admission for a bacterial and/or fungal infection were included in the study and followed up for a least 6 months.

resultsDuring follow-up, 69 patients (35%) were readmitted within 30 days from discharge. C-reactive protein (CRP) value at discharge (odds ratio (OR)=1.91; P=0.022), diagnosis of acute-on-chronic liver failure during the hospital stay (OR=2.48; P=0.008), and the hospitalization in the last 30 days previous to the admission/inclusion in the study (OR=1.50; P=0.042) were found to be independent predictors of readmission. During the 6-month follow-up, 47 patients (23%) died. Age (hazard ratio (HR)=1.05; P=0.001), model of end-stage liver disease (MELD) score (HR=1.13; P<0.001), CRP (HR=1.85; P=0.001), refractory ascites (HR=2.22; P=0.007), and diabetes (HR=2.41; P=0.010) were found to be independent predictors of 6-month mortality. Patients with a CRP >10 mg/l at discharge had a significantly higher probability of being readmitted within 30 days (44% vs. 24%; P=0.007) and a significantly lower probability of 6-month survival (62% vs. 88%; P<0.001) than those with a CRP ≤10 mg/l.

conclusionsCRP showed to be a strong predictor of early hospital readmission and 6-month mortality in patients with cirrhosis after hospitalization for bacterial and/or fungal infection. CRP values could be used both in the stewardship of antibiotic treatment and to identify fragile patients who deserve a strict surveillance program.

Indexed as

Acute-On-Chronic Liver FailureBacterial InfectionsLiver CirrhosisAgedAscitesC-Reactive ProteinFemaleFollow-Up StudiesHospitalizationHumansItalyMaleMiddle AgedPatient ReadmissionPredictive Value of TestsPrognosisC-Reactive Protein

Identifiers

PMID28853729
OpenAlexW2751247972

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.