Evidence map›Paper›PMID 28905826›Full record

ArticleIndian journal of ophthalmology2017

Risk factors in patients with macular telangiectasia 2A in an Asian population: A case-control study.

Anna Elias, Mahesh Gopalakrishnan, Giridhar Anantharaman

Abstract read
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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Ethnic comparison of MacTel over 5 years follow up.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Observational
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

3 authors.

Anna EliasGiridhar Eye Institute, Kochi, Kerala, India.
Mahesh GopalakrishnanGiridhar Eye Institute, Kochi, Kerala, India.
Giridhar AnantharamanGiridhar Eye Institute, Kochi, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to evaluate risk factors in patients with macular telangiectasia (MacTel) 2A in an Asian population. This was a hospital-based case-control study.

methodsWe reviewed the case records of patients in our hospital, diagnosed as MacTel 2A over a 3-year period from April 2011 to March 2014. Controls were selected from patients seen in the hospital at the same time for visual defects after matching for age and sex. A multivariate logistic regression model was constructed using the variables that showed a statistically significant association (P < 0.05) with MacTel 2A in the univariate analysis.

resultsThe mean age of the patients with MacTel 2A was 58.63 years. A majority (76; 73.8%) of the patients were female. Of the patients with MacTel 2A, 61 (59.2%) patients had diabetes mellitus, and 50 (48.5%) revealed hypertension. Multivariate logistic regression analysis revealed the presence of diabetes mellitus to be the risk factor with the highest odds ratio (OR) of 5.7 followed by hypertension with an OR of 2.6. Binary logistic regression showed hypermetropia to have a greater risk factor compared to emmetropia, OR 2.64.

conclusionOur case-control study revealed that MacTel 2A is significantly associated with systemic diseases. Diabetes mellitus was found to have the strongest association with MacTel 2A, showing a high OR of 5.7. Systemic hypertension followed by an OR of 2.6. Compared to emmetropia, hypermetropia was significantly associated with MacTel 2A. There could be a genetic link between the two. Determining risk factors draws us close to the goal of identifying the etiopathogenesis of MacTel 2A.

Indexed as

Risk AssessmentAdultAgedCase-Control StudiesDiabetes ComplicationsFemaleFluorescein AngiographyFundus OculiHumansHypertensionIndiaMacula LuteaMaleMiddle AgedRetinal TelangiectasisRisk Factors

Identifiers

PMID28905826
PMCPMC5621265

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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.