Evidence map›Paper›PMID 31538558›Full record

Observational studyEmerging infectious diseases2019

Risk Factors for Carbapenem-Resistant Pseudomonas aeruginosa, Zhejiang Province, China.

Yan-Yan Hu, Jun-Min Cao, Qing Yang, Shi Chen, Huo-Yang Lv, Hong-Wei Zhou, Zuowei Wu, Rong Zhang

Abstract readObservational Study
In one paragraph

Observational study in Emerging infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Impact of Antimicrobial Resistance ofVeterinary sciences · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Elimination of blaBMC microbiology · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Dissemination of Metallo-β-Lactamase-ProducingInternational journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Carbapenem ResistantInfection and drug resistance · 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

8 authors.

Yan-Yan Hu
Jun-Min Cao
Qing Yang
Shi Chen
Huo-Yang Lv
Hong-Wei Zhou
Zuowei Wu
Rong Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a public health concern worldwide, but comprehensive analysis of risk factors for CRPA remains limited in China. We conducted a retrospective observational study of carbapenem resistance in 71,880 P. aeruginosa isolates collected in Zhejiang Province during 2015-2017. We analyzed risk factors for CRPA, including the type of clinical specimen; the year, season, and region in which it was collected; patient information, including age, whether they were an outpatient or inpatient, and whether inpatients were in the intensive care unit or general ward; and the level of hospital submitting isolates. We found CRPA was more prevalent among isolates from patients >60 years of age and in inpatients, especially in intensive care units. In addition, specimen types and seasons in which they were collected were associated with higher rates of CRPA. Our findings can help hospitals reduce the spread of P. aeruginosa and optimize antimicrobial drug use.

Indexed as

AdolescentAdultAge Factorsbeta-Lactam ResistanceCarbapenemsChildChild, PreschoolChinaCross InfectionHumansInfantInfant, NewbornMicrobial Sensitivity TestsMiddle AgedPseudomonas aeruginosaPseudomonas InfectionsCarbapenemsantimicrobial resistancebacteriaCarbapenemChinamultidrug-resistantPseudomonas aeruginosarisk factorsurveillance

Identifiers

PMID31538558
PMCPMC6759267

What OpenQuestion holds

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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.