Evidence map›Paper›PMID 32289092›Full record

ArticleObesity medicine2020

Potentially preventable urinary tract infection in patients with type 2 diabetes - A hospital-based study.

Maria Cristina Carrondo, Joaquim Jorge Moita

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 5 pooled it
0.7field-weighted citation impact, top 29% 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, 5 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Maria Cristina CarrondoDepartment of Clinical Physiology, Polytechnic Institute of Castelo Branco, High School of Health Dr. Lopes Dias, Castelo Branco, Portugal.
Joaquim Jorge MoitaHospital Center and University of Coimbra, Coimbra, Portugal.
Polytechnic Institute of Castelo Branco · PTUniversity of Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the prevalence of urinary tract infections in hospitalized patients with type 2 diabetes mellitus and identify corresponding risk factors.

methodsWe conducted a cross-sectional study on 7.347 patients with type 2 diabetes mellitus as the principal diagnosis, using hospitalization discharge summary data from January 1 to December 31, 2015. Disease stages were classified as stages 1, 2, and 3.

resultsOf 7.347 patients, 16.2% had urinary tract infections. The urinary tract infection prevalence was 24.4% in 428 patients in stage 1 and 4.8% in 2.840 patients in stage 2; it was higher among patients who underwent medical procedures than among those who underwent surgery (24.4% vs 4.8%). In multivariate regression analysis, age (OR = 1.031; 95% CI = 1.02-1.04), length of hospitalization (OR = 1.018; 95% CI = 1.013-1.024), sex (woman) (OR = 2.248; 95% CI = 1.778-2.842), comorbidity of stage 3 cerebrovascular disease (OR = 1.737; 95% CI = 1.111-2.714), and comorbidity of stage 1 colorectal cancer (OR = 2.417; 95% CI = 1.152-5.074) were found to be the risk factors of urinary tract infection in the ten hospitals considered.

conclusionsOur findings suggest that urinary tract infection prevalence was higher in women without evidence of organ injury and those receiving medical treatment. Comorbidities (cerebrovascular disease and colorectal cancer) were identified as risk factors.

Indexed as

COC, complications-of-careCross-sectional studyIn-hospitalPrediction modelT2DM, type 2 diabetes mellitusType 2 diabetes mellitusUrinary tract infectionsUTI, urinary tract infection

Identifiers

PMID32289092
PMCPMC7103955
OpenAlexW3004004574

What OpenQuestion holds

Textmetadata
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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.