Evidence map›Paper›PMID 39496666›Full record

ArticleScientific reports2024

Age related grid-wise spatial analysis of choroidal parameters in well characterised healthy population.

Meenakshi Kumar, Matt Trinh, Angela Zhang, Xin Wei, Rupesh Agrawal, Lisa Nivison-Smith

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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

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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Meenakshi KumarSchool of Optometry and Vision Science, University of New South Wales, Sydney, Australia.
Matt TrinhSchool of Optometry and Vision Science, University of New South Wales, Sydney, Australia.
Angela ZhangSchool of Optometry and Vision Science, University of New South Wales, Sydney, Australia.
Xin WeiNational Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore.
Rupesh AgrawalNational Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore.
Lisa Nivison-SmithSchool of Optometry and Vision Science, University of New South Wales, Sydney, Australia. l.nivison-smith@unsw.edu.au.

Funding

National Health and Medical Research Council 1174385National Medical Research Council NMRC/CIRG21nov-0023
6 · The paper itself

Abstract

Choroidal vascularity index (CVI) is an image-based metric applied to assess the choroid in disease but poorly explored in natural aging. In this retrospective cohort study, we assessed a single eye of 309 healthy individuals from 20 to 70 + years, and quantified spatial topography of total choroidal area (TCA), luminal area (LA), stromal area (SA) and CVI (LA: TCA) in cluster and standard retinal templates using a semi-automated approach. CVI was found to be greatest in the central vs. periphery (CVI

Indexed as

ChoroidAdultAgedAgingFemaleHealthy VolunteersHumansMaleMiddle AgedRetrospective StudiesSpatial AnalysisTomography, Optical CoherenceYoung AdultAgingChoroidal angioarchitectureChoroidal vascularity indexSpatial changes

Identifiers

PMID39496666
PMCPMC11535518

What OpenQuestion holds

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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.