Evidence map›Paper›PMID 32133087›Full record

ReviewInternational journal of preventive medicine2019

Pattern of Antibacterial Resistance in Urinary Tract Infections: A Systematic Review and Meta-analysis.

Seyed Abdol Reza Mortazavi-Tabatabaei, Jalal Ghaderkhani, Ali Nazari, Kourosh Sayehmiri, Fatemeh Sayehmiri, Iraj Pakzad

Open access · goldAbstract readReview
In one paragraph

Review in International journal of preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
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  15. Culture and amplification-free nanopore sequencing for rapid detection of pathogens and antimicrobial resistance genes from urine.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
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  18. High Carriage ofTropical life sciences research · 2024
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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

6 authors at 2 institutions in 1 country.

Seyed Abdol Reza Mortazavi-TabatabaeiProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Jalal GhaderkhaniDepartment of Microbiology, Hamadan University of Medical Sciences, Hamadan, Iran.
Ali NazariDepartment of Infectious Diseases, Ilam University of Medical Sciences, Ilam, Iran.
Kourosh SayehmiriDepartment Social Medicine, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Fatemeh SayehmiriStudent Research Committee, Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Iraj PakzadDepartment of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Medical University of Ilam · IRHamedan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary tract infection (UTI) is one of the most common infectious diseases ranking next to upper respiratory tract infections. UTIs are often significantly associated with morbidity and mortality. The inappropriate administration of antibiotics to treat these infections increased infection resistance to antibiotics. The aim of this study is to determine the frequency of antibiotic resistance pattern in UTIs.

methodsWe searched several databases including PubMed, Web of Science, Scopus, Google Scholar, Iran Medex, Magiran, IranDoc, MedLib, and Scientific Information Database to identify the studies addressing antibacterial resistance patterns of the most common uropathogenic bacteria in UTIs in Iran. A total of 90 reports published from different regions of Iran from 1992 to May 2015 were involved in this study.

resultsIt is shown that the most common pathogen causing UTIs is

conclusionsThe results of this study showed that the most common resistance are antibiotics that are commonly used. The most effective antibiotics for

Indexed as

Antibioticsantimicrobial resistanceGram-negative bacteriaGram-positive bacteriaurinary tract infections

Identifiers

PMID32133087
PMCPMC6826787
OpenAlexW2995570923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.