MétaCan
Menu
Back to cohort
Record W2791162244 · doi:10.1016/j.ebiom.2018.03.020

Ebola Virus Persistence in Ocular Tissues and Fluids (EVICT) Study: Reverse Transcription-Polymerase Chain Reaction and Cataract Surgery Outcomes of Ebola Survivors in Sierra Leone

2018· article· en· W2791162244 on OpenAlexaff
Jessica G. Shantha, John G. Mattia, Augustine Goba, Kayla G. Barnes, Faiqa K. Ebrahim, Colleen S. Kraft, Brent Hayek, Jessica N. Hartnett, Jeffrey G. Shaffer, John S. Schieffelin, John Demby Sandi, Mambu Momoh, Simbirie Jalloh, Donald S. Grant, Kerry Dierberg, Chung‐Chou H. Chang, Sharmistha Mishra, Adrienne K. Chan, Rob Fowler, Tim O’Dempsey, Erick Kaluma, Taylor Hendricks, Roger Reiners, M. Reiners, Lowell A. Gess, Kwame O’Neill, Sarian Kamara, Alie Wurie, M M Mansaray, Nisha R. Acharya, William J. Liu, Sina Bavari, Gustavo Palacios, Moges Teshome, Ian Crozier, Paul E. Farmer, Timothy M. Uyeki, Daniel G. Bausch, Robert F. Garry, Matthew Jusu Vandy, Steven Yeh

Bibliographic record

VenueEBioMedicine · 2018
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversity of Toronto
FundersNational Institute of Allergy and Infectious DiseasesNational Eye InstituteNational Institute on AgingCenters for Disease Control and PreventionNational Institutes of HealthEmory Eye CenterSantenSchool of Medicine, Emory UniversityBilli and Bernie Marcus FoundationAlcon Research InstituteBayer CorporationHeed Ophthalmic FoundationCenter for AIDS Research, University of WashingtonEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentWorld Health OrganizationEmory UniversityResearch to Prevent Blindness
KeywordsMedicineCataract surgeryInterquartile rangeUveitisOphthalmologyEbola virusConvalescenceSurgeryInternal medicineDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Ebola virus disease (EVD) survivors are at risk for uveitis during convalescence. Vision loss has been observed following uveitis due to cataracts. Since Ebola virus (EBOV) may persist in the ocular fluid of EVD survivors for an unknown duration, there are questions about the safety and feasibility of vision restorative cataract surgery in EVD survivors. METHODS: We conducted a cross-sectional study of EVD survivors anticipating cataract surgery and patients with active uveitis to evaluate EBOV RNA persistence in ocular fluid, as well as vision outcomes post cataract surgery. Patients with aqueous humor that tested negative for EBOV RNA were eligible to proceed with manual small incision cataract surgery (MSICS). FINDINGS: We screened 137 EVD survivors from June 2016 - August 2017 for enrolment. We enrolled 50 EVD survivors; 46 with visually significant cataract, 1 with a subluxated lens, 2 with active uveitis and 1 with a blind painful eye due to uveitis. The median age was 24.0years (IQR 17-35) and 35 patients (70%) were female. The median logMAR visual acuity (VA) was 3.0 (Snellen VA Hand motions; Interquartile Range, IQR: 1.2-3.0, Snellen VA 20/320 - Hand motions). All patients tested negative for EBOV RNA by RT-PCR in aqueous humor/vitreous fluid and conjunctiva at a median of 19months (IQR 18-20) from EVD diagnosis in Phase 1 of ocular fluid sampling and 34months (IQR 32-36) from EVD diagnosis in Phase 2 of ocular fluid sampling. Thirty-four patients underwent MSICS, with a preoperative median VA improvement from hand motions to 20/30 at three-month postoperative follow-up (P<0.001). INTERPRETATION: EBOV persistence by RT-PCR was not identified in ocular fluid or conjunctivae of fifty EVD survivors with ocular disease. Cataract surgery can be performed safely with vision restorative outcomes in patients who test negative for EBOV RNA in ocular fluid specimens. These findings impact the thousands of West African EVD survivors at-risk for ocular complications who may also require eye surgery during EVD convalescence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.325
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations57
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueEBioMedicineSame topicViral Infections and Outbreaks ResearchFrench-language works237,207