Observational studyIndian journal of ophthalmology2022
Trends in teleconsultations for uveitis during the COVID-19 lockdown.
Observational study in Indian journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- The expanding horizon: Role of widefield imaging in uveitis.Indian journal of ophthalmology · 2026Review
- Assessment of the dynamics of inpatient health care delivery in Poland before and throughout the COVID-19 pandemic.Scientific reports · 2024Article
- Current Challenges in the Management of Vitreoretinal Conditions.Journal of clinical medicine · 2024Article
- Use of telemedicine to tackle health problems in South Asia during the COVID-19 era and beyond: a systematic review.Annals of medicine and surgery (2012) · 2024Review
- Unleashing the potential of eHealth in outpatient cancer care for patients undergoing immunotherapy-a quantitative study considering patients' needs and current healthcare challenges.Frontiers in digital health · 2024Article
- Surfing the COVID-19 Tsunami with Teleophthalmology: the Advent of New Models of Eye Care.Current ophthalmology reports · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To study the use of teleophthalmology as a tool to manage patients with uveitis and to describe the experience of teleconsultation for uveitis at a tertiary eye care hospital in India during the two waves of the COVID-19 pandemic. Methods: A prospective observational case series of uveitis patients seeking teleconsultations during the first (March 25-May 2020) and second lockdown (April 27 to June 21, 2021) in a tertiary eye care center were analyzed. Results: There were 79 teleconsultations in the first and 89 teleconsultations in the second lockdown. A majority of the patients presented in the age group of 41-60 years in both the lockdowns. There were both new or primary consultations and follow-up patients (6% vs. 94%) in the first lockdown, and similarly in the second lockdown (8% new vs. 92% follow-up). The majority of patients resided in Bengaluru city (78% in the first and 76% in the second lockdown). After evaluation through video consultation, only 15% required a hospital referral in the first lockdown, whereas in the second lockdown, 21.3% were referred to the hospital. During the second lockdown, 20% presented with COVID-19 infection-related ailments. Conclusion: Based on our preliminary experience using a customized smartphone-based application for teleconsultation, we found it to be an alternative option to provide continuation of ophthalmic care to uveitis patients. Given the current COVID-19 situation, it can help avoid physical visits of uveitis patients to the hospital.
Indexed as
Identifiers
What OpenQuestion holds
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.