Evidence map›Paper›PMID 28730112›Full record

ArticleInternational journal of ophthalmology2017

Evaluation of antioxidants and argpyrimidine in normal and cataractous lenses in north Indian population.

Bharani K Mynampati, Sujata Ghosh, Thungapathra Muthukumarappa, Jagat Ram

Open access · goldAbstract read
In one paragraph

Article in International 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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 91% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

4 authors at 1 institution in 1 country.

Bharani K MynampatiDepartment of Ophthalmology, Advanced Eye Center, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.
Sujata GhoshDepartment of Experimental Medicine & Biotechnology, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.
Thungapathra MuthukumarappaDepartment of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.
Jagat RamDepartment of Ophthalmology, Advanced Eye Center, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo assess the level of glutathione, thioltransferase, and argpyrimidine in nuclear and cortical cataractous lenses as well as in the clear lenses in the north Indian population.

methodsHuman cataractous lenses were collected from the patients who underwent extracapsular cataract extraction surgery; clear lenses were collected from the freshly donated eye bank eyes. Antioxidant molecules such as glutathione and thioltransferase enzyme activity were measured; simultaneously in these lenses a blue fluorophore argpyrimidine, an advanced glycation end (AGE) product level was assessed using high performance liquid chromatography (HPLC).

resultsThe protein concentration was found to be present at higher levels in the control lenses compared to cataract lenses. A significant decrease in the glutathione level was observed in the nuclear cataractous lenses compared to cortical cataractous (

conclusionAntioxidants such as glutathione significantly decrease in age-related nuclear and cortical cataract and an AGE, argpyrimidine are present at significantly higher levels in nuclear cataract.

Indexed as

age-related cataractantioxidantsargpyrimidinecortical cataractglutathionenuclear cataractthioltransferase

Identifiers

PMID28730112
PMCPMC5514271
OpenAlexW2748535752

What OpenQuestion holds

Textmetadata
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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.