Evidence map›Paper›PMID 30355857›Full record

ArticleIndian journal of ophthalmology2018

Imagining eye care in India (2018 Lalit Prakash Agarwal lecture).

Taraprasad Das, Lapam Panda

Abstract readLecture
In one paragraph

Article in Indian journal of ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Functional Imaging in Improving Children's Mental Health Based on Behavior.Computational and mathematical methods in medicine · 2022
    Article
  4. Comments on: Back to the Bedside.Indian journal of ophthalmology · 2020
    Article
  5. Reaching the last mile in eye care.Indian journal of ophthalmology · 2020
    Article
  6. Article
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

2 authors.

Taraprasad DasSrimati Kanuri Santhamma Centre for Vitreoretinal Diseases, L V Prasad Eye Institute, Hyderabad, Telangana; Indian Oil Center for Rural Eye Health, L V Prasad Eye Institute, Bhubaneswar, Odisha, India.
Lapam PandaIndian Oil Center for Rural Eye Health, L V Prasad Eye Institute, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India has done well in eye care delivery by recognizing visual impairment and blindness as a major medical challenge. Major contributions have come from ophthalmologists (mass cataract surgery in the early 1900s; major participation of non-government organizations), policy makers (National Program for Control of Blindness and Visual Impairment 1976; systematic development under the World Bank assisted India Cataract Project, 1995-2002), and the industry (manufacturing of affordable surgical instruments and medicines). Although the country could boast of higher cataract surgical coverage and near-total elimination of trachoma, there is increasing prevalence of diabetic retinopathy and undetected glaucoma. India is in the crossroad of adherence to old successful models of service delivery and adoption of new innovative methods of teaching and training, manpower development and skill-based training, relevant medical research and product development. In the absence of these new approaches, the initial gains in eye care could not be furthered in India. A new approach, that will combine the best of the "old" tradition of empathy and the "new" technology of analytics, is required to imagine the future of eye care in India.

Indexed as

Diagnostic ImagingDiagnostic Techniques, OphthalmologicalEye DiseasesHumansIndiaEye careIndiaplanning

Identifiers

PMID30355857
PMCPMC6213694

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.