Evidence map›Paper›PMID 33609933›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2021

Comprehensive pathogen detection for ocular infections.

Thuy Doan, Malaya K Sahoo, Kevin Ruder, ChunHong Huang, Lina Zhong, Cindi Chen, Armin Hinterwirth, Charles Lin, John A Gonzales, Benjamin A Pinsky and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Association of Weather Variables With Pathogens Contributing to Conjunctivitis Worldwide.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  8. American journal of ophthalmology case reports · 2024
    Article
  9. American journal of ophthalmology case reports · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Outpatient human coronavirus associated conjunctivitis in India.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022
    Article
  15. Article
  16. 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

11 authors at 3 institutions in 1 country.

Thuy DoanFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA; Department of Ophthalmology, University of California, San Francisco, CA, USA. Electronic address: thuy.doan@ucsf.edu.
Malaya K SahooDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Kevin RuderFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.
ChunHong HuangDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Lina ZhongFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.
Cindi ChenFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.
Armin HinterwirthFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.
Charles LinByers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA.
John A GonzalesFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA; Department of Ophthalmology, University of California, San Francisco, CA, USA.
Benjamin A PinskyDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Nisha R AcharyaFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA; Department of Ophthalmology, University of California, San Francisco, CA, USA.
University of California, San Francisco · USStanford University · USStanford Medicine · US

Funding

Ocular Surface Microbiome, Virome, and Pathogens in Ophthalmic Disease and HealthK08EY026986 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DOAN, THUY A · 2016 to 2020
$1.2M
NEI NIH HHS K08 EY026986
6 · The paper itself

Abstract

backgroundMolecular diagnostics such as pathogen-directed PCRs have transformed testing for ocular infections since the late 1990s. Although these assays remain important diagnostic tools for samples with low biomass, the lack of diagnostic range motivates alternative molecular approaches for ocular infections. The aim of this study was to determine the performance of a high-throughput RNA sequencing approach, RNA-seq, to detect infectious agents in ocular samples from patients with presumed ocular infections.

methodsWe compared the performance of RNA-seq to pathogen-directed PCRs using remnant nucleic acids from 41 aqueous or vitreous samples of patients with presumed ocular infections. Pathogen-directed PCRs were performed at the CLIA-certified Stanford Clinical Virology Laboratory. RNA-seq was performed in a masked manner at the Proctor Foundation at the University of California San Francisco. Percent positive and negative agreement between the two testing approaches were calculated. Discordant results were subjected to orthogonal testing.

resultsThe positive percent agreement between RNA-seq and pathogen-directed PCRs was 100% (95% confidence interval (CI): 78.5%-100%). The negative percent agreement was 92.6% (95% CI: 76.6%-97.9%). RNA-seq identified pathogens not on the differential diagnosis for 9.7% (4/41) of the samples. Two pathogens solely identified with RNA-seq were confirmed with orthogonal testing.

conclusionsRNA-seq can accurately identify common and rare pathogens in aqueous and vitreous samples of patients with presumed ocular infections. Such an unbiased approach to testing has the potential to improve diagnostics although practical clinical utility warrants additional studies.

Indexed as

Eye InfectionsHigh-Throughput Nucleotide SequencingHumansPolymerase Chain ReactionCMVEyePCRPithomycesRNA-seqrubellaUveitis

Identifiers

PMID33609933
PMCPMC7954984
OpenAlexW3132580685

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.