Evidence map›Paper›PMID 33061667›Full record

ArticleInternational medical case reports journal2020

Temporal Profile and Treatment of

Lindsey N Nguyen, Suparshva U Parikh, Shehzad Y Batliwala, Alexander S Davis, Kamran M Riaz

Open access · goldAbstract readCase Reports
In one paragraph

Article in International medical case reports journal, 2020. 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
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. AggressiveJournal of fungi (Basel, Switzerland) · 2025
    Article
  2. Taiwan journal of ophthalmology
    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

5 authors at 3 institutions in 1 country.

Lindsey N NguyenCollege of Medicine, University of Oklahoma, Oklahoma City, OK, USA.
Suparshva U ParikhCollege of Medicine, University of Oklahoma, Oklahoma City, OK, USA.
Shehzad Y BatliwalaDean McGee Eye Institute, Department of Ophthalmology, University of Oklahoma, Oklahoma City, OK, USA.
Alexander S DavisDivision of Ophthalmology, University of New Mexico, Albuquerque, NM, USA.
Kamran M RiazDean McGee Eye Institute, Department of Ophthalmology, University of Oklahoma, Oklahoma City, OK, USA.ORCID 0000-0003-1090-5025
Dean McGee Eye Institute · USOklahoma City University · USUniversity of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo report a temporal profile of

methodsA 64-year-old contact lens wearer presented with left eye keratitis days after receiving an influenza vaccination and subsequent development of herpes zoster lesions on the flank. Patient was initially treated for bacterial keratitis with fortified antibiotics and oral valacyclovir for her concurrent zoster. Pharmacotherapy was changed to topical voriconazole after cultures were positive for

resultsAfter the conclusion of topical therapy, the central corneal infiltrate regressed and a partial light-blocking anterior stromal scar remained. Best corrected visual acuity improved from 20/400 to 20/25.

conclusionTransient systemic immune dysregulation, secondary to influenza vaccination and reactivation of systemic herpetic disease, compounded by contact lens wear, may create a favorable environment for opportunistic fungal keratitis. This case highlights the importance of adequately assessing and treating for existing comorbidities in the successful treatment of mycotic keratitis.

Indexed as

fungal keratitisherpes zosterinfluenza vaccinationPurpureocillium lilacinum

Identifiers

PMID33061667
PMCPMC7519859
OpenAlexW3087022130

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.