Evidence map›Paper›PMID 28573995›Full record

ArticleIndian journal of ophthalmology2017

Impact of expansion of telemedicine screening for retinopathy of prematurity in India.

Anand Vinekar, Shwetha Mangalesh, Chaitra Jayadev, Clare Gilbert, Mangat Dogra, Bhujang Shetty

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Indian journal of ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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.

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

23 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Artificial intelligence for retinopathy of prematurity.Current opinion in ophthalmology · 2020
    Review
  11. Review
  12. Review
  13. Article
  14. Reaching the last mile in eye care.Indian journal of ophthalmology · 2020
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Anand VinekarDepartmentss of Pediatric Retina, Narayana Nethralaya Eye Institute, Bengaluru, Karnataka, India.
Shwetha MangaleshDepartmentss of Pediatric Retina, Narayana Nethralaya Eye Institute, Bengaluru, Karnataka, India.
Chaitra JayadevDepartmentss of Pediatric Retina, Narayana Nethralaya Eye Institute, Bengaluru, Karnataka, India.
Clare GilbertLondon School of Hygiene and Tropical Medicine, London, UK.
Mangat DograDepartment of Ophthalmology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Bhujang ShettyDepartmentss of Pediatric Retina, Narayana Nethralaya Eye Institute, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study is to estimate the unknown burden of retinopathy of prematurity (ROP) blindness from nine states of India using demographic, incidence and treatment data from an ongoing statewide ROP program in Karnataka called the Karnataka Internet Assisted Diagnosis of ROP (KIDROP) and to calculate the fiscal quantum of preventable blindness in these states. MATERIALS AND

methodsThe KIDROP model is an ongoing tele-ROP service providing screening and treatment for ROP in Karnataka since 2008. Using this index strategy, an impact assessment in nine other states was constructed, the number of potential blind babies enumerated, the fiscal quantum of blindness prevented in blind person-years (BPYs), and the increase in burden with improving survival and institutional deliveries calculated.

resultsThe total population in the ten study states is 681.5 million. The eligible babies for ROP screening annually are 467,664. The number of babies admitted to neonatal units is 188,561 of which 160,277 are likely to survive and require screening. Based on KIDROP data, ROP would develop in 35,886 of these infants, and 1281 babies would require treatment annually. The fiscal quantum of BPY saved in these ten states is USD 108.4 million annually, with a further increase of USD 106.8 million with improving infant survival and higher admission rates for delivery.

conclusionA KIDROP like model can provide ROP screening in low-resource settings, remote centers, and regions with few ROP specialists. Expanding the model to other states with similar demographics can prevent over USD 100 million of blindness burden annually.

Indexed as

InternetBlindnessHumansIncidenceIndiaInfantInfant, NewbornNeonatal ScreeningReproducibility of ResultsRetinopathy of PrematurityRetrospective StudiesTelemedicine

Identifiers

PMID28573995
PMCPMC5565892

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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.