Evidence map›Paper›PMID 29053557›Full record

ArticleCornea2018

Bacterial Keratitis: Isolated Organisms and Antibiotic Resistance Patterns in San Francisco.

Michelle Y Peng, Vicky Cevallos, Stephen D McLeod, Thomas M Lietman, Jennifer Rose-Nussbaumer

Abstract read
In one paragraph

Article in Cornea, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Antibiotics versus placebo for acute bacterial conjunctivitis.The Cochrane database of systematic reviews · 2023
    Pooled it
  3. Antibiotic resistance mechanisms and global resistance patterns of Pseudomonas aeruginosa in microbial keratitis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Microbial Keratitis in Southern Arizona.Ophthalmic research · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Role ofPharmaceutics · 2024
    Review
  14. Article
  15. A comparison of antimicrobial regimen outcomes and antibiogram development in microbial keratitis: a prospective cohort study in Alexandria, Egypt.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

2 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

5 authors.

Michelle Y PengDepartment of Ophthalmology, University of California, San Francisco, San Francisco, CA.
Vicky CevallosFrancis I. Proctor Foundation, Department of Ophthalmology, University of California, San Francisco, San Francisco, CA.
Stephen D McLeodDepartment of Ophthalmology, University of California, San Francisco, San Francisco, CA.
Thomas M LietmanDepartment of Ophthalmology, University of California, San Francisco, San Francisco, CA.
Jennifer Rose-NussbaumerDepartment of Ophthalmology, University of California, San Francisco, San Francisco, CA.

Funding

Predictions of Response to Treatment in Fungal KeratitisK23EY025025 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSE-NUSSBAUMER, JENNIFER · 2015 to 2019
$1.2M
NEI NIH HHS K23 EY025025
6 · The paper itself

Abstract

purposeUnderstanding the spectrum of pathogens in a given geographic region is important when deciding on empiric antibiotic therapy. In this study, we evaluate the spectrum of bacterial organisms cultured from corneal samples and their antibiotic sensitivities to guide initial treatment of keratitis.

methodsWe performed a retrospective case review of cultures from suspected infectious keratitis cases at the Francis I. Proctor Foundation, University of California, San Francisco, from 1996 through 2015. Logistic regression models were used to assess the risk of culturing methicillin-resistant Staphylococcus aureus (MRSA) from ulcers over time and the association between the year cultured and moxifloxacin resistance.

resultsA total of 522 of 2203 (23.7%) cultures grew bacterial organisms believed to be the etiology of infection, with available antibiotic sensitivity data. Of these, 338 (65.3%) grew gram-positive organisms with the most common being methicillin-sensitive Staphylococcus aureus (20.1%, N = 105). One hundred eighty (34.7%) grew gram-negative species with Pseudomonas aeruginosa as the most prevalent organism (10.9%, N = 57). There was 1.13 increased odds of culturing MRSA for each 1-year increase in the culture date (P = 0.01) and 1.26 increased odds of culturing an organism resistant to moxifloxacin with each 1-year increase in the culture date after controlling for the infectious organism (P < 0.001).

conclusionsGram-positive organisms are the most commonly identified etiology of microbial keratitis in this series. Approximately 35% of cultured organisms had variable susceptibility to moxifloxacin, and resistance seems to be increasing over time. The risk of culturing MRSA increased over time.

Indexed as

Drug Resistance, BacterialAcademic Medical CentersAnti-Bacterial AgentsCorneal UlcerEye Infections, BacterialGram-Negative BacteriaGram-Positive BacteriaHumansMicrobial Sensitivity TestsRetrospective StudiesSan FranciscoAnti-Bacterial Agents

Identifiers

PMID29053557
PMCPMC5716884

What OpenQuestion holds

Textmetadata
LicenceTDM
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.