Evidence map›Paper›PMID 35241908›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2022

Genotyping of Clinical Parameters in Age-Related Macular Degeneration.

Priya Battu, Kaushal Sharma, Rajarathna Thangavel, Ramandeep Singh, Suresh Sharma, Vinod Srivastava, Akshay Anand

Open access · goldAbstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 2 countries.

Priya Battu *Neuroscience Research Lab, Department of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Kaushal Sharma *Neuroscience Research Lab, Department of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID 0000-0001-9268-673X
Rajarathna ThangavelDepartment of Ophthalmology, Vasan Eye Care, Chennai, India.
Ramandeep SinghAdvanced Eye Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Suresh SharmaDepartment of Statistics, Panjab University, Chandigarh, India.
Vinod SrivastavaCollege of Health and Behavioral Sciences, Fort Hays State University, Hays, KS, USA.
Akshay AnandNeuroscience Research Lab, Department of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · INFort Hays State University · USPanjab University · INVasan Eye Care Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptical coherence tomography (OCT) parameters like subretinal fluid (SRF), intra retinal fluid (IRF) and retinal detachment (RPED) etc are routinely accessed by ophthalmologists in patients with retinal complaints. Correlation of OCT findings with genotype and phenotype of AMD patients is relatively unexplored. Here, we have investigated the association of OCT parameters' with genetic variants along with protein expressions and examined their clinical relevance with AREDS (Age-Related Eye Disease Study) criteria in AMD patients.

methodsFor this study, samples were recruited from Advanced Eye Centre, PGIMER, Chandigarh, India. Case-only analysis of anonymous imaging data (OCT/Fundus) acquired during the routine clinical evaluation of patients was done to examine the OCT findings in the AMD patients. TaqMan genotyping assays were used to analyze the single nucleotide polymorphisms in these patients. ELISA (enzyme linked immunosorbent assay) was used to estimate the protein levels of these genes in serum. Information pertaining to lifestyle/habits was also collected by administering a standard questionnaire at the time of recruitment of the patients.

resultsIntra-retinal fluid (IRF) was associated significantly with the LIPC genotype (p=0.04). Similarly, smoking status and early AMD were also associated with the APOE genotype (p=0.03). Additionally, variants of IER-3 and SLC16A8 were also found to be associated with co-morbidities (p=0.02) and males (p=0.02), respectively. RPED has shown a significant association with AREDS criteria, which demonstrated an area under AUROC around 72%.

conclusionResults of genotype-phenotype association can give a precise impression of AMD severity and can be beneficial for the early diagnosis of AMD cases.

Indexed as

age-related macular degenerationanti-VEGF therapyAPOEAREDSHTRA1IPCOCT parametersRPE detachmentTIMP-3

Identifiers

PMID35241908
PMCPMC8888136
OpenAlexW4214603824

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.