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Record W4401985264 · doi:10.1159/000540390

Caregiver Experience Survey of Anti-Vascular Endothelial Growth Factor Treatment for Diabetic Macular Edema and Neovascular Age-Related Macular Degeneration

2024· article· en· W4401985264 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOphthalmic Research · 2024
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
FundersGenentech
KeywordsMacular degenerationMedicineOphthalmologyDiabetic macular edemaVascular endothelial growth factorRanibizumabDegeneration (medical)Diabetes mellitusMacular edemaDiabetic retinopathySurgeryInternal medicineBevacizumabVEGF receptorsRetinalChemotherapyEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: Diabetic macular edema (DME) and neovascular age-related macular degeneration (nAMD) require frequent anti-vascular endothelial growth factor (VEGF) treatment and monitoring visits. We aimed to understand the burden of treatment on caregivers. METHODS: This multinational, noninterventional study used a cross-sectional survey of adult patients with DME or nAMD treated with anti-VEGF injections in the USA, Canada, France, Italy, Spain, and the UK. The survey assessed caregivers' sociodemographic characteristics, patient relationships, patients' clinical history and treatment experiences, caregivers' experiences, and the Caregiver Reaction Assessment of caregiving burden. RESULTS: Caregivers for patients with DME (n = 30) and nAMD (n = 95) completed surveys. Mean ± standard deviation (SD) age was 64.0 ± 13.4 years, and most were female (71.2%), white (70.4%), married (66.4%), and from Europe (67.2%). Most were caring for their mother/father or partner/spouse (85.6%). Mean ± SD length of time as a caregiver was 9.1 ± 10.0 years. Caregivers estimated they provided support for 4.2 ± 2.9 days/week and 6.0 ± 7.1 h/day on average. Nearly half of caregivers (45.6%) reported some impairment in daily activities, and more than two-thirds (70.5%) of working caregivers (n = 44) reported work absenteeism due to anti-VEGF treatment/monitoring appointments. At least one treatment barrier was reported by 66.7% and 50.5% of caregivers of patients with DME and nAMD, respectively, which were related to coronavirus disease 2019- (38.4%), clinic- (18.4%), social-/health- (13.6%), treatment- (10.4%), or financial-related factors (4.8%). Caregiver Reaction Assessment scores indicated mild-to-moderate burden, with higher caregiver schedule disruption scores associated with an increasing number of anti-VEGF treatment/monitoring visits among DME caregivers (r = 0.61). CONCLUSION: Caregivers devote substantial time to caregiving, leading to schedule disruptions and absenteeism for some working caregivers. Positive and negative impacts on caregiver mental health were reported.

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.

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 score0.307
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.099
GPT teacher head0.398
Teacher spread0.299 · 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