Evidence map›Paper›PMID 18197977›Full record

ArticleBMC infectious diseases2008

Increased fluoroquinolone resistance with time in Escherichia coli from >17,000 patients at a large county hospital as a function of culture site, age, sex, and location.

Lauren Becnel Boyd, Robert L Atmar, Graham L Randall, Richard J Hamill, David Steffen, Lynn Zechiedrich

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.8field-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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Spatial pattern and risk factors of resistance to important antibiotics amongAntimicrobial stewardship & healthcare epidemiology : ASHE · 2026
    Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Bullied no more: when and how DNA shoves proteins around.Quarterly reviews of biophysics · 2012
    Review
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Lauren Becnel BoydDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA. lb144335@bcm.edu
Robert L Atmar
Graham L Randall
Richard J Hamill
David Steffen
Lynn Zechiedrich
Baylor College of Medicine · US

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
COMBATTING QUINOLONE ANTIMICROBIAL RESISTANCER01AI054830 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI ZECHIEDRICH, LYNN · 2004 to 2012
$3.2M
Training in Pharmacoinformatics(RMI)T90DK070109 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI STANCEL, GEORGE M. · 2004 to 2008
$1.6M
NIAID NIH HHS R01 AI054830NIDDK NIH HHS T90 DK070109NIDDK NIH HHS T90DK070109NLM NIH HHS T15 LM007093NLM NIH HHS T15 LM07093
6 · The paper itself

Abstract

backgroundEscherichia coli infections are common and often treated with fluoroquinolones. Fluoroquinolone resistance is of worldwide importance and is monitored by national and international surveillance networks. In this study, we analyzed the effects of time, culture site, and patient age, sex, and location on fluoroquinolone resistance in E. coli clinical isolates.

methodsTo understand how patient factors and time influenced fluoroquinolone resistance and to determine how well data from surveillance networks predict trends at Ben Taub General Hospital in Houston, TX, we used Perl to parse and MySQL to house data from antibiograms (n congruent with 21,000) for E. coli isolated between 1999 to 2004 using Chi Square, Bonferroni, and Multiple Linear Regression methods.

resultsFluoroquinolone resistance (i) increased with time; (ii) exceeded national averages by 2- to 4-fold; (iii) was higher in males than females, largely because of urinary isolates from male outpatients; (iv) increased with patient age; (v) was 3% in pediatric patients; (vi) was higher in hospitalized patients than outpatients; (vii) was higher in sputum samples, particularly from inpatients, than all other culture sites, including blood and urine, regardless of patient location; and (viii) was lowest in genital isolates than all other culture sites. Additionally, the data suggest that, with regard to susceptibility or resistance by the Dade Behring MicroScan system, a single fluoroquinolone suffices as a "surrogate marker" for all of the fluoroquinolone tested.

conclusionLarge surveillance programs often did not predict E. coli fluoroquinolone resistance trends at a large, urban hospital with a largely indigent, ethnically diverse patient population or its affiliated community clinics.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAnti-Bacterial AgentsChildChild, PreschoolDrug Resistance, BacterialEscherichia coliEscherichia coli InfectionsFemaleFluoroquinolonesHospitals, CountyHumansInfantAnti-Bacterial AgentsFluoroquinolones

Identifiers

PMID18197977
PMCPMC2258293
OpenAlexW2052038192

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.