Evidence map›Paper›PMID 32993493›Full record

ArticleBMC microbiology2020

Molecular epidemiology and risk factors of Stenotrophomonas maltophilia infections in a Chinese teaching hospital.

Zhongliang Duan, Juanxiu Qin, Yao Liu, Cui Li, Chunmei Ying

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.9field-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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  10. Pathogens (Basel, Switzerland) · 2024
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  13. Antibiotic Resistance and Virulence Factors in Clinical Isolates ofInternational journal of microbiology · 2024
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  18. Comparative genomics analysis ofFrontiers in cellular and infection microbiology · 2023
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  19. Infectious diseases & clinical microbiology · 2022
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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

5 authors at 3 institutions in 1 country.

Zhongliang DuanDepartment of Clinical Laboratory, Obstetrics and Gynecology Hospital of Fudan University, 419 Fangxie Road, Shanghai, 200011, China.
Juanxiu QinDepartment of Laboratory Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200001, China.
Yao LiuDepartment of Laboratory Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200001, China.
Cui LiDepartment of Clinical Laboratory, Obstetrics and Gynecology Hospital of Fudan University, 419 Fangxie Road, Shanghai, 200011, China.
Chunmei YingDepartment of Clinical Laboratory, Obstetrics and Gynecology Hospital of Fudan University, 419 Fangxie Road, Shanghai, 200011, China. ycmzh2012@163.com.
Obstetrics and Gynecology Hospital of Fudan University · CNRenji Hospital · CNShanghai Jiao Tong University · CN

Funding

National Natural Science Foundation of China 81873970Scientific Research Project of Shanghai Municipal Health Bureau 20164Y0105
6 · The paper itself

Abstract

backgroundStenotrophomonas maltophilia (S. maltophilia) is an important opportunistic pathogen that can be isolated in hospitals. With the abuse of broad spectrum antibiotics and invasive surgical devices, the rate of S. maltophilia infection is increasing every year. This study was an epidemiological analysis of the clinical and molecular characteristics of S. maltophilia infection in a Chinese teaching hospital. The goal was to obtain a comprehensive understanding of the status of S. maltophilia infection to provide strong epidemiological data for the prevention and treatment of S. maltophilia infection.

resultsA total of 93 isolates from Renji Hospital affiliated with the Shanghai Jiaotong University School of Medicine were included, in which 62 isolates were from male patients. In addition, 81 isolates were isolated from sputum samples. A total of 86 patients had underlying diseases. All patients received antibiotics. Multilocus sequence typing (MLST) analysis indicated that 61 different sequence types (STs) were found (including 45 novel STs), and MLST did not show significantly dominant STs. Pulsed field gel electrophoresis (PFGE) results showed that 93 isolates could be divided into 73 clusters, and they also showed weak genetic linkages between isolates. The resistant rates to trimethoprim/sulfamethoxazole (TMP/SMX) and levofloxacin were 9.7 and 4.3%, respectively, and all isolates were susceptible to minocycline. Four virulence gene's loci Stmpr1, Stmpr2, Smf-1, and Smlt3773 were positive in 79.6, 91.4, 94.6, and 52.7% of the isolates, respectively. Three biofilm genes rmlA, spgM, and rpfF were positive in 82.8, 92.5, and 64.5% of the isolates, respectively. Mean biofilm forming level of OD

conclusionsMost of the patients had prior medical usage histories and baseline diseases. The positive rate of virulence genes was high, the drug resistance rate of S. maltophilia was low, and the biofilm formation ability was strong. The increased use of antibiotics was an independent risk factor for S. maltophilia infection, which should receive more attention. No obvious clonal transmissions were found in the same departments.

Indexed as

Genes, BacterialAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsBacterial Typing TechniquesBiofilmsCase-Control StudiesChinaDrug Resistance, BacterialElectrophoresis, Gel, Pulsed-FieldFemaleGene ExpressionGram-Negative Bacterial InfectionsHospitals, TeachingAnti-Bacterial AgentsLevofloxacinMinocyclineTrimethoprim, Sulfamethoxazole Drug CombinationBiofilmEpidemiologyMLSTStenotrophomonas maltophilia

Identifiers

PMID32993493
PMCPMC7526397
OpenAlexW3089650478

What OpenQuestion holds

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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.