Evidence map›Paper›PMID 22752605›Full record

Trial reportInternational ophthalmology2012

Differentiation of etiologic agents of bacterial keratitis from presentation characteristics.

Jeena Mascarenhas, Muthiah Srinivasan, Michael Chen, Revathi Rajaraman, Meenakshi Ravindran, Prajna Lalitha, Catherine E Oldenburg, Kathryn J Ray, David V Glidden, Stephanie Costanza and 2 more

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in International ophthalmology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Bacterial Keratitis:Current eye research · 2022
    Article
  5. Article
  6. Current diagnostic tools and management modalities of Nocardia keratitis.Journal of ophthalmic inflammation and infection · 2020
    Review
  7. The Role of Pneumococcal Virulence Factors in Ocular Infectious Diseases.Interdisciplinary perspectives on infectious diseases · 2018
    Review
  8. Article
  9. Review
  10. 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

12 authors at 3 institutions in 2 countries.

Jeena MascarenhasAravind Eye Care System, Madurai, India.
Muthiah Srinivasan
Michael Chen
Revathi Rajaraman
Meenakshi Ravindran
Prajna Lalitha
Catherine E Oldenburg
Kathryn J Ray
David V Glidden
Stephanie Costanza
Thomas M Lietman
Nisha R Acharya
Aravind Eye Hospital · INSan Francisco Foundation · USUniversity of California, San Francisco · US

Funding

Rapid-Prototyping and Design CoreP30EY002162 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ULLIAN, ERIK M · 1985 to 2024
$16.8M
The Steroids for Cornea Ulcers TrialU10EY015114 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIETMAN, THOMAS M · 2005 to 2009
$2.4M
Predicting and Improving Clinical Outcomes for Bacterial KeratitisK23EY017897 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ACHARYA, NISHA · 2007 to 2011
$1.1M
NEI NIH HHS EY02162NEI NIH HHS K23 EY017897NEI NIH HHS K23EY017897NEI NIH HHS P30 EY002162NEI NIH HHS U10 EY015114
6 · The paper itself

Abstract

Presenting characteristics of bacterial corneal ulcers may suggest particular causative organisms, helping to guide treatment decisions before cultures become available. In this study, we analyze the association between presentation demographic and clinical characteristics, using data collected as part of a randomized, controlled clinical trial. Data for this study were collected as part of the Steroids for Corneal Ulcers Trial, a randomized, placebo-controlled, double-masked trial. All patients had a culture-proven bacterial corneal ulcer. Patient history, clinical examination, and photography were performed in a standardized fashion at enrollment. Analysis of variance or Fisher's exact test was used to compare characteristics by organism. Univariate logistic regression was used to analyze predictors of the most common organisms. Five hundred patients were enrolled in the trial, of whom 488 were included in this analysis. The most common organism was Streptococcus pneumoniae (N = 248, 51 %) followed by Pseudomonas aeruginosa (N = 110, 23 %). Compared to other organisms, P. aeruginosa was significantly associated with a larger baseline infiltrate/scar size [odds ratio (OR) 1.6, 95 % confidence interval (CI) 1.4-1.8] and deeper infiltrate (OR 2.4, 95 % CI 1.5-3.8). S. pneumoniae was significantly associated with a smaller baseline infiltrate/scar size (OR 0.8, 95 % CI 0.7-0.9) and dacryocystitis (OR 7.3, 95 % CI 4.1-13.3). Nocardia spp. were significantly associated with longer duration of symptoms prior to presentation (OR 1.4, 95 % CI 1.2-1.6), more shallow infiltrate (OR 0.3, 95 % CI 0.2-0.5), and better baseline visual acuity (OR 0.4, 95 % CI 0.2-0.65). Staphylococcus spp. were less likely to be central in location (OR 0.16, 95 % CI 0.08-0.3). Baseline characteristics of bacterial ulcers may suggest the likely etiology and guide early management.

Indexed as

AdultAnti-Bacterial AgentsCorneaCorneal UlcerDouble-Blind MethodDrug Therapy, CombinationEye Infections, BacterialFemaleFollow-Up StudiesGlucocorticoidsHumansKeratitisMaleMiddle AgedOphthalmic SolutionsPneumococcal InfectionsAnti-Bacterial AgentsGlucocorticoidsOphthalmic Solutions

Identifiers

PMID22752605
PMCPMC3603562
OpenAlexW1995576415

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.