Evidence map›Paper›PMID 39281400›Full record

ReviewJournal of current ophthalmology

Age-Related Macular Degeneration Prevalence and its Risk Factors in Iran: A Systematic Review and Meta-Analysis Study.

Parsa Panahi, Ali Kabir, Khalil Ghasemi Falavarjani

Abstract readReview
In one paragraph

Review in Journal of current ophthalmology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Article
  3. Review
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.

Parsa PanahiNoor Ophthalmology Research Center, Noor Eye Hospital, Tehran, Iran.
Ali KabirMinimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran.
Khalil Ghasemi FalavarjaniEye Research Center, The Five Senses Health Institute, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To estimate the prevalence of age-related macular degeneration (AMD) and determine its risk factors in Iran. Methods: A comprehensive electronic search was conducted in PubMed, Scopus, Web of Science, and Google Scholar, with no restrictions on time or language of publication. Eleven studies meeting the eligibility criteria were included. Six studies with a total sample size of 9930 were included in the meta-analysis to calculate the overall prevalence of AMD in Iran. Meta-analysis was performed using Stata/MP version 15.0. Risk of bias assessment was carried out based on the Newcastle-Ottawa Scale. Results: All participants in the studies were over 40 years old. The pooled prevalence of AMD was estimated to be 9.9% (95% confidence interval [CI]: 6.3%-13.5%). After accounting for publication bias, this estimated decreased to 6.4% (95% CI: 4%-10.2%). Smoking (odds ratio [OR]: 1.781; 95% CI: 1.152-2.756), hypertension (HTN) (OR: 1.512; 95% CI: 1.119-2.044), diabetes mellitus (DM) (OR: 1.545; 95% CI: 1.088-2.194), and hyperlipidemia (OR: 1.512; 95% CI: 1.055-2.165) were identified as AMD risk factors. Conclusion: Based on the results of the present review, the prevalence of AMD in the Iranian population over 40 years of age is estimated to be 6.4%, and having a history of smoking, HTN, DM, and hyperlipidemia are identified as risk factors of AMD in Iran. Further original studies are needed to draw more accurate conclusions.

Indexed as

Age-related macular degenerationIranPrevalenceRisk factor

Identifiers

PMID39281400
PMCPMC11392294

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.