Evidence map›Paper›PMID 37317252›Full record

ArticleMicroorganisms2023

Risk Factors and the Impact of Multidrug-Resistant Bacteria on Community-Acquired Urinary Sepsis.

Manuel Madrazo, Ian López-Cruz, Laura Piles, Sofía Viñola, Juan Alberola, José María Eiros, Arturo Artero

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 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
1.5field-weighted citation impact, top 17% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  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

7 authors at 2 institutions in 1 country.

Manuel MadrazoHospital Universitario Doctor Peset, 46017 Valencia, Spain.ORCID 0000-0002-8779-3001
Ian López-CruzHospital Universitario Doctor Peset, 46017 Valencia, Spain.ORCID 0000-0001-7252-8961
Laura PilesHospital Universitario Doctor Peset, 46017 Valencia, Spain.ORCID 0000-0003-3214-7843
Sofía ViñolaHospital Universitario Doctor Peset, 46017 Valencia, Spain.
Juan AlberolaHospital Universitario Doctor Peset, 46017 Valencia, Spain.ORCID 0000-0002-7915-375X
José María EirosHospital Universitario Rio Hortega, 47012 Valladolid, Spain.
Arturo ArteroHospital Universitario Doctor Peset, 46017 Valencia, Spain.
Hospital Universitario Doctor Peset · ESHospital Universitario Río Hortega · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk factors for multidrug-resistant bacteria (MDRB) in nosocomial urinary tract infection (UTI) have been widely studied. However, these risk factors have not been analyzed in community-acquired urinary sepsis (US), nor have its outcomes been studied. The aim of our study is to determine risk factors for MDRB in community-acquired US and its influence on outcomes. Prospective observational study of patients with community-acquired US admitted to a university hospital. We compared epidemiological and clinical variables and outcomes of US due to MDRB and non-MDRB. Independent risk factors for MDRB were analyzed using logistic regression. A total of 193 patients were included, 33.7% of them with US due to MDRB. The median age of patients was 82 years. Hospital mortality was 17.6%, with no difference between the MDRB and non-MDRB groups. The length of hospital stay was 5 (4-8) days, with a non-significant tendency to longer hospital stays in the MDRB group (6 (4-10) vs. 5 (4-8) days,

Indexed as

multidrug-resistant bacteria (MDRB)nosocomial urinary tract infection (UTI)risk factors

Identifiers

PMID37317252
PMCPMC10221993
OpenAlexW4380730694

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.