Evidence map›Paper›PMID 34518162›Full record

ArticleThe British journal of ophthalmology2023

Predicting the immediate impact of national lockdown on neovascular age-related macular degeneration and associated visual morbidity: an INSIGHT Health Data Research Hub for Eye Health report.

Susan P Mollan, Dun Jack Fu, Ching-Yi Chuo, Jacqueline G Gannon, Wen Hwa Lee, J Jill Hopkins, Cian Hughes, Alastair K Denniston, Pearse A Keane, Ronald Cantrell

Registry-linked trialAbstract read
In one paragraph

Article in The British journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00056836 (A Phase III, Multicenter, Randomized, Double Masked, Sham Injection-Controlled Study of the Efficacy and Safety of rhuFab V2), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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.

NCT00056836 phase3completednot on this map

A Phase III, Multicenter, Randomized, Double Masked, Sham Injection-Controlled Study of the Efficacy and Safety of rhuFab V2 (Ranibizumab) in Subjects With Minimally Classic or Occult Subfoveal Neovascular Age-Related Macular Degeneration

TypeinterventionalSponsorGenentech, Inc.Ran2003 to 2005Enrolled720ConditionsMacular DegenerationArmsrhuFab V2 (ranibizumab)
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
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

10 authors.

Susan P MollanOphthalmology, University Hospitals Birmingham, Birmingham, UK soozmollan@doctors.org.uk.
Dun Jack FuResearch Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK.ORCID http://orcid.org/0000-0003-2852-6912
Ching-Yi ChuoGenentech Inc, South San Francisco, California, USA.
Jacqueline G GannonGenentech Inc, South San Francisco, California, USA.
Wen Hwa LeeAction Against Age-Related Macular Degeneration, Oxford, UK.
J Jill HopkinsGenentech Inc, South San Francisco, California, USA.
Cian HughesGoogle Inc, Mountain View, California, USA.
Alastair K DennistonDepartment of Ophthalmology, University Hospitals Birmingham NHSFT, Birmingham, UK.ORCID http://orcid.org/0000-0001-7849-0087
Pearse A KeaneMedical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
Ronald CantrellGenentech Inc, South San Francisco, California, USA.

Funding

Medical Research Council MC_PC_19005Medical Research Council MR/T019050/1Wellcome Trust
6 · The paper itself

Abstract

objectivePredicting the impact of neovascular age-related macular degeneration (nAMD) service disruption on visual outcomes following national lockdown in the UK to contain SARS-CoV-2. METHODS AND ANALYSIS: This retrospective cohort study includes deidentified data from 2229 UK patients from the INSIGHT Health Data Research digital hub. We forecasted the number of treatment-naïve nAMD patients requiring anti-vascular endothelial growth factor (anti-VEGF) initiation during UK lockdown (16 March 2020 through 31 July 2020) at Moorfields Eye Hospital (MEH) and University Hospitals Birmingham (UHB). Best-measured visual acuity (VA) changes without anti-VEGF therapy were predicted using post hoc analysis of Minimally Classic/Occult Trial of the Anti-VEGF Antibody Ranibizumab in the Treatment of Neovascular AMD trial sham-control arm data (n=238).

resultsAt our centres, 376 patients were predicted to require anti-VEGF initiation during lockdown (MEH: 325; UHB: 51). Without treatment, mean VA was projected to decline after 12 months. The proportion of eyes in the MEH cohort predicted to maintain the key positive visual outcome of ≥70 ETDRS letters (Snellen equivalent 6/12) fell from 25.5% at baseline to 5.8% at 12 months (UHB: 9.8%-7.8%). Similarly, eyes with VA <25 ETDRS letters (6/96) were predicted to increase from 4.3% to 14.2% at MEH (UHB: 5.9%-7.8%) after 12 months without treatment.

conclusionsHere, we demonstrate how combining data from a recently founded national digital health data repository with historical industry-funded clinical trial data can enhance predictive modelling in nAMD. The demonstrated detrimental effects of prolonged treatment delay should incentivise healthcare providers to support nAMD patients accessing care in safe environments. TRIAL REGISTRATION NUMBER: NCT00056836.

Indexed as

COVID-19Wet Macular DegenerationAngiogenesis InhibitorsCommunicable Disease ControlHumansIntravitreal InjectionsRanibizumabRetrospective StudiesSARS-CoV-2Treatment OutcomeVascular Endothelial Growth Factor AVascular Endothelial Growth FactorsVisual AcuityAngiogenesis InhibitorsRanibizumabVascular Endothelial Growth Factor AVascular Endothelial Growth Factorsclinical trialCOVID-19neovascularisation

Identifiers

PMID34518162
PMCPMC9887382

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.