Evidence map›Paper›PMID 24705946›Full record

ArticleCurrent treatment options in gastroenterology2014

Changing options for prevention and treatment of infections in cirrhosis.

Juan Acevedo, Verónica Prado, Javier Fernández

Abstract read
PubMed Publisher
In one paragraph

Article in Current treatment options in gastroenterology, 2014. 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
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  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

3 authors at 2 institutions in 1 country.

Juan AcevedoGastroenterology and Hepatology Department, Hospital Sant Jaume de Calella, Sant Jaume 209-217, 08370, Catalunya, Barcelona, Spain, jacevedoharo@salutms.cat.
Verónica Prado
Javier Fernández
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESHospital Sant Jaume de Calella · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementBacterial infections are more frequent and severe in cirrhosis. Most prevalent infections are spontaneous bacterial peritonitis (SBP) and urinary infections followed by pneumonia, cellulitis and bacteremia. Cirrhosis increases the risk of sepsis, severe sepsis and death. Early diagnosis and adequate treatment of infections is essential in the management of cirrhotic patients. Recent data show that currently recommended empirical antibiotic therapy, mainly based on the use of β-lactams, is effective in community-acquired infections, but frequently fails in nosocomial and healthcare-associated infections. A marked increase in the prevalence of multidrug resistant (MDR) bacteria in the healthcare environment explains this finding. Patients developing nosocomial infections or with extended lengths of hospitalization are at higher risk for second infections that are associated with poor prognosis. Antibiotic strategies should therefore be selected according to the type, severity and site of acquisition of infection, and be adapted to the local epidemiological pattern of antibiotic resistance. Treatment of MDR bacteria requires the use of broader spectrum antibiotics (carbapenems) or those active against specific resistant bacteria (glycopeptides, linezolid, daptomycin, amikacin, colistin). Restriction of antibiotic prophylaxis to the high-risk populations, prevention of antibiotic overuse, and early de-escalation policies are also mandatory to prevent the spread of MDR bacteria in cirrhosis.

Identifiers

PMID24705946
OpenAlexW2029757833

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.