Evidence map›Paper›PMID 24342646›Full record

ArticleAntimicrobial agents and chemotherapy2014

Trends in antibiotic resistance in coagulase-negative staphylococci in the United States, 1999 to 2012.

Larissa May, Eili Y Klein, Richard E Rothman, Ramanan Laxminarayan

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.

  1. Pooled it
  2. Article
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  11. Analysis of the Presence of the Virulence and Regulation Genes fromInternational journal of environmental research and public health · 2023
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  13. Effect of Antibiotic Exposure onInternational journal of molecular sciences · 2023
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  17. Review
  18. Article
  19. Distribution and Clonal Diversity ofAntibiotics (Basel, Switzerland) · 2021
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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

4 authors at 3 institutions in 1 country.

Larissa MayDepartment of Emergency Medicine, George Washington University, Washington, DC, USA.
Eili Y Klein
Richard E Rothman
Ramanan Laxminarayan
Johns Hopkins University · USCenter for Disease Dynamics, Economics & Policy · USGeorge Washington University · US

Funding

Clinical and Translational Science Institute at Children's NationalUL1TR000075 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2012 to 2015
$13.7M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR031988 · NCRR · CHILDREN'S RESEARCH INSTITUTE · PI JOSEPH, JILL G · 2010 to 2011
$8.2M
Computational Models of Infectious Disease ThreatsU01GM070708 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BURKE, DONALD SCOTT · 2004 to 2008
$3.8M
Behavioral Epidemiology: Applications of Agent-Based Modeling to Infectious DiseaDP1OD003874 · OD · JOHNS HOPKINS UNIVERSITY · PI EPSTEIN, JOSHUA M. · 2008 to 2011
$2.8M
Clinical and Translational Science Institute at Children's NationalKL2TR000076 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2012 to 2014
$756k
Clinical and Translational Science Institute at Children's NationalKL2RR031987 · NCRR · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2010 to 2011
$425k
NCATS NIH HHS KL2 TR000076NCATS NIH HHS UL1 TR000075NCRR NIH HHS KL2 RR031987NCRR NIH HHS KL2RR031987/KL2TR000076NCRR NIH HHS UL1 RR031988NCRR NIH HHS UL1RR031988/UL1TR000075NIGMS NIH HHS U01 GM070708NIGMS NIH HHS U01GM070708NIH HHS DP1 OD003874NIH HHS DP1OD003874
6 · The paper itself

Abstract

Coagulase-negative staphylococci (CoNS) are important bloodstream pathogens that are typically resistant to multiple antibiotics. Despite the concern about increasing resistance, there have been no recent studies describing the national prevalence of CoNS pathogens. We used national resistance data over a period of 13 years (1999 to 2012) from The Surveillance Network (TSN) to determine the prevalence of and assess the trends in resistance for Staphylococcus epidermidis, the most common CoNS pathogen, and all other CoNS pathogens. Over the course of the study period, S. epidermidis resistance to ciprofloxacin and clindamycin increased steadily from 58.3% to 68.4% and from 43.4% to 48.5%, respectively. Resistance to levofloxacin increased rapidly from 57.1% in 1999 to a high of 78.6% in 2005, followed by a decrease to 68.1% in 2012. Multidrug resistance for CoNS followed a similar pattern, and this rise and small decline in resistance were found to be strongly correlated with levofloxacin prescribing patterns. The resistance patterns were similar for the aggregate of CoNS pathogens. The results from our study demonstrate that the antibiotic resistance in CoNS pathogens has increased significantly over the past 13 years. These results are important, as CoNS can serve as sentinels for monitoring resistance, and they play a role as reservoirs of resistance genes that can be transmitted to other pathogens. The link between the levofloxacin prescription rate and resistance levels suggests a critical role for reducing the inappropriate use of fluoroquinolones and other broad-spectrum antibiotics in health care settings and in the community to help curb the reservoir of resistance in these colonizing pathogens.

Indexed as

Anti-Bacterial AgentsCiprofloxacinClindamycinDrug Resistance, BacterialDrug Resistance, Multiple, BacterialHumansLevofloxacinStaphylococcal InfectionsStaphylococcus epidermidisUnited StatesAnti-Bacterial AgentsCiprofloxacinClindamycinLevofloxacin

Identifiers

PMID24342646
PMCPMC3957827
OpenAlexW2120254667

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.