Evidence map›Paper›PMID 31231323›Full record

ArticleFrontiers in microbiology2019

Rapid Identification and Antimicrobial Susceptibility Testing for Urinary Tract Pathogens by Direct Analysis of Urine Samples Using a MALDI-TOF MS-Based Combined Protocol.

Wei Li, Enhua Sun, Ying Wang, Hongwei Pan, Yi Zhang, Yong Li, Xin Zhang, Chen Li, Lutao Du, Chuanxin Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Clinical application of MALDI-TOF MS for direct and rapid pathogen identification: a comprehensive review focusing on bloodstream infections and sterile body fluids.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Antibiotic Resistance Profiling of PathogenicBioMed research international · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Direct Urine Resistance Detection Using VITEK 2.Antibiotics (Basel, Switzerland) · 2022
    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

10 authors at 2 institutions in 1 country.

Wei LiDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Enhua SunDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Ying WangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Hongwei PanDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Yi ZhangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Yong LiDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Xin ZhangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Chen LiDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China.
Lutao DuDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China.
Chuanxin WangDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China.
Qilu Hospital of Shandong University · CNSecond Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Usually, 18-48 h are needed for the identification of microbial pathogens causing urinary tract infections (UTIs) by urine culture. Moreover, antimicrobial susceptibility testing (AST) takes an additional 18-24 h. Rapid identification and AST of the pathogens allow fast and precise treatment. The objective of this study was to shorten the time of diagnosis of UTIs by combining pathogen screening through flow cytometry, microbial identification by matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS), and AST using the VITEK 2 system for the direct analysis of urine samples. We analyzed 1,638 urine samples from patients with suspected UTIs submitted to the microbiology laboratory for culture. Each urine sample had an approximate volume of 30 mL and was divided into three aliquots. Urine processing included differential centrifugation and two washes to enrich the bacterial fraction for direct MALDI-TOF MS and direct AST. From a total of 1,638 urine samples, 307 were found to be positive through UF-1000i screening. Among them, 265 had significant growth of a single-microorganism. Direct identification was obtained in 229 (86.42%) out of these 265 samples, and no pathogens were misidentified. Moreover, species-level identification was obtained in 163 (88.59%) out of the 184 samples with Gram-negative bacteria, and 27 (38.03%) out of the 71 samples with Gram-positive bacteria. VITEK 2 AST was performed for 117 samples with a single-microorganism.

Indexed as

antimicrobial susceptibilitybacterial identificationMALDI-TOF MSrapid diagnosisurinary tract infectionsurine

Identifiers

PMID31231323
PMCPMC6560049
OpenAlexW2967890395

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.