Evidence map›Paper›PMID 28749714›Full record

SynthesisMicrobial drug resistance (Larchmont, N.Y.)2018

Risk Factors for Carbapenem-Resistant Klebsiella pneumoniae Infection: A Meta-Analysis.

Pin Liu, Xuan Li, Mei Luo, Xuan Xu, Kewen Su, Shuai Chen, Ying Qing, Yingli Li, Jingfu Qiu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Microbial drug resistance (Larchmont, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 4 pooled it
–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

93 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Carbapenem-ResistantMicroorganisms · 2026
    Review
  7. Global Trends in Antimicrobial Resistance-Related Mortality fromTropical medicine and infectious disease · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Detection and prevalence of theIranian journal of microbiology · 2026
    Article
  14. Molecular Insights into Carbapenem Resistance inInternational journal of molecular sciences · 2026
    Review
  15. Article
  16. Predictors of resistance and mortality inFrontiers in medicine · 2026
    Article
  17. Article
  18. Article
  19. Prevalence and Antimicrobial Resistance ofInfection and drug resistance · 2026
    Article
  20. Article

33 more citing papers are in PubMed but not listed here.

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

9 authors.

Pin LiuSchool of Public Health and Management, Chongqing Medical University , Chongqing, China .
Xuan LiSchool of Public Health and Management, Chongqing Medical University , Chongqing, China .
Mei LuoSchool of Public Health and Management, Chongqing Medical University , Chongqing, China .
Xuan XuSchool of Public Health and Management, Chongqing Medical University , Chongqing, China .
Kewen SuSchool of Public Health and Management, Chongqing Medical University , Chongqing, China .
Shuai ChenSchool of Public Health and Management, Chongqing Medical University , Chongqing, China .
Ying QingSchool of Public Health and Management, Chongqing Medical University , Chongqing, China .
Yingli LiSchool of Public Health and Management, Chongqing Medical University , Chongqing, China .
Jingfu QiuSchool of Public Health and Management, Chongqing Medical University , Chongqing, China .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsCarbapenem-resistant Klebsiella pneumoniae (CRKP) infection has been rapidly emerging as a life-threatening nosocomial disease in many countries. However, studies on the corresponding risk factors of CRKP infection showed inconsistent results. To resolve these inconsistencies, we conducted a meta-analysis of previous studies on the potential risk factors of CRKP infection. The results of this study could be used to develop CRKP infection prevention strategies.

methodsRelevant works were systematically searched from five electronic databases up to September 2016. Z-test was used to determine the significance of the pooled odds ratios (ORs). ORs and 95% confidence intervals were utilized to compare the risk factors of CRKP infection.

resultsSixteen studies that involved 3,627 participants were included in the meta-analysis. We identified the following risk factors that were associated with CRKP infection: (1) longer length of hospital stay (LOS) (OR = 12.92), (2) admission to intensive care unit (ICU) (OR = 2.48), (3) prior hospitalization (OR = 1.85), (4) longer days of ICU stay (OR = 4.58), (5) transplant recipient (OR = 2.01), (6) steroid use (OR = 1.43), (7) central venous catheter use (OR = 2.30), (8) mechanical ventilation (OR = 2.54), (9) presence of tracheostomy (OR = 3.63), (10) parenteral nutrition (OR = 2.38), (11) previous antibiotic use (OR = 3.31), and (12) exposure to carbapenems (OR = 4.01), (13) aminoglycosides (OR = 2.05), (14) glycopeptides (OR = 2.40), (15) quinolones (OR = 2.28), and (16) anti-pseudomonal penicillins (OR = 2.67).

conclusionsSixteen risk factors including longer LOS, admission to ICU, previous antibiotic use, and exposure to carbapenems were associated with the development of CRKP infection. Identification of modifiable risk factors could play an important role in the prevention of CRKP infection.

Indexed as

beta-Lactam ResistanceAnti-Bacterial AgentsCarbapenemsCatheterization, Central VenousHumansIntensive Care UnitsKlebsiella InfectionsKlebsiella pneumoniaeLength of StayParenteral NutritionRespiration, ArtificialRisk FactorsSteroidsTracheostomyTransplant RecipientsAnti-Bacterial AgentsCarbapenemsSteroidscarbapenem-resistant Klebsiella pneumoniaeinfectionmeta-analysisrisk factor

Identifiers

PMID28749714
PMCPMC5873294

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.