Evidence map›Paper›PMID 25686057›Full record

ArticleIndian journal of ophthalmology2015

Socioeconomics of long-term glaucoma therapy in India.

Bhagabat Nayak, Shikha Gupta, Guresh Kumar, Tanuj Dada, Viney Gupta, Ramanjit Sihota

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of ophthalmology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 45 citations in OpenAlex.

  1. Assessing Quality of life of Patients with Cataract and Glaucoma using Generic and Vision-Specific Instruments in India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
    Article
  2. Article
  3. Article
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  7. Review
  8. Article
  9. Lifestyle Medicine for Glaucoma.Journal of current glaucoma practice
    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

6 authors at 1 institution in 1 country.

Bhagabat NayakGlaucoma Research Facility and Clinical Services, All India Institute of Medical Sciences, New Delhi, India.
Shikha Gupta
Guresh Kumar
Tanuj Dada
Viney Gupta
Ramanjit Sihota
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the socioeconomic impact of long-term glaucoma therapy. MATERIALS AND

methodsOne hundred and fifty consecutive glaucoma patients on medical therapy, following up at our glaucoma service for at least 6 months were recruited. A questionnaire regarding monthly income, cost of glaucoma medications prescribed, availability of medications, travel time, time spent in review clinics, compliance, education status, medical insurance and systemic or local side-effects was administered.

resultsThe patients seen at the tertiary government hospital had an average monthly income of Rs. 10,912/- (range: Rs. 500/- to Rs. 50,000/-) with approximately 56% of the patients having an income of less than Rs. 5000/month. The expenditure on anti-glaucoma medications ranged from 0.3% in high income group to 123% of their monthly gross income in low income group (P < 0.0001). The total expenditure including travel, stay, and loss of wages of patients and accompanying persons ranged from 1.6% in high income group to 137% of the monthly income in low income group (P < 0.0001). Mean time required for a glaucoma clinic visit was 15.66 h, (range: 6-96 h/month). About 2.7% experienced systemic side-effects and 21.3% had complaints of ocular adverse effects. About 90% of the patients were compliant. 92% were not covered by any insurance plan/government reimbursement for their treatment.

conclusionsMedical therapy for glaucoma is an economic burden to many patients and should be individualized, according to the socioeconomic status, availability of drugs and the required distance to travel to reach the specialist clinics.

Indexed as

Patient CompliancePovertyAdultAgedAged, 80 and overAntihypertensive AgentsFollow-Up StudiesGlaucomaHealth ExpendituresHumansIncidenceIncomeIndiaMiddle AgedPrognosisSocioeconomic FactorsAntihypertensive Agents

Identifiers

PMID25686057
PMCPMC4363951
OpenAlexW2088799073

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.