Evidence map›Paper›PMID 24480063›Full record

ArticleEpidemiology and infection2014

Antimicrobial resistance in eight US hospitals along the US-Mexico border, 2000-2006.

S R Benoit, K D Ellingson, S H Waterman, M L Pearson

Abstract readMulticenter Study
In one paragraph

Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

S R BenoitDivision of Healthcare Quality Promotion,National Center For Emerging & Zoonotic Infectious Diseases,CDC, Atlanta, GA,USA.
K D EllingsonDivision of Healthcare Quality Promotion,National Center For Emerging & Zoonotic Infectious Diseases,CDC, Atlanta, GA,USA.
S H WatermanDivision of Global Migration And Quarantine,National Center For Emerging & Zoonotic Infectious Diseases,CDC, Atlanta, GA,USA.
M L PearsonDivision of Tuberculosis Elimination,National Center for HIV/AIDS,Viral Hepatitis, STD & TB Prevention, CDC, Atlanta, GA,USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AR) is a growing problem worldwide and international travel, cross-border migration, and antimicrobial use may contribute to the introduction or emergence of AR. We examined AR rates and trends along the US-Mexico border by analysing microbiology data from eight US hospitals in three states bordering Mexico. Microbiology data were ascertained for the years 2000-2006 and for select healthcare and community pathogens including, three Gram-negative (Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae) and three Gram-positive (Staphylococcus aureus, Enterococcus, Streptococcus pneumoniae) pathogens and 10 antimicrobial-pathogen combinations. Resistance was highest in S. aureus (oxacillin resistance 45·7%), P. aeruginosa (quinolone resistance 22·3%), and E. coli (quinolone resistance 15·6%); six (60%) of the 10 antimicrobial-pathogen combinations studied had a significantly increasing trend in resistance over the study period. Potential contributing factors in the hospital and community such as infection control practices and antimicrobial use (prescription and non-prescription) should be explored further in the US-Mexico border region.

Indexed as

Drug Resistance, BacterialAnti-Infective AgentsDrug Resistance, Multiple, BacterialFemaleGram-Negative Bacterial InfectionsGram-Positive Bacterial InfectionsHospitals, UrbanHumansIncidenceMaleMexicoMicrobial Sensitivity TestsRetrospective StudiesRisk AssessmentUnited StatesAnti-Infective Agents

Identifiers

PMID24480063
PMCPMC9151284

What OpenQuestion holds

Textmetadata
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.