Evidence map›Paper›PMID 31171990›Full record

ArticleTranslational vision science & technology2019

Representation of Central Endothelial Cell Density by Analysis of Single Best Specular Microscopy Image Regardless of Cell Size Variance.

Yue Shi, Jianyan Huang, Elmira Baghdasaryan, Ping Huang, Xiwen Huang, Srinivas R Sadda, Olivia L Lee

Abstract read
In one paragraph

Article in Translational vision science & technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

7 authors.

Yue ShiDoheny Eye Institute, Los Angeles, CA, USA.
Jianyan HuangDoheny Eye Institute, Los Angeles, CA, USA.
Elmira BaghdasaryanDoheny Eye Institute, Los Angeles, CA, USA.
Ping HuangDoheny Eye Institute, Los Angeles, CA, USA.
Xiwen HuangDoheny Eye Institute, Los Angeles, CA, USA.
Srinivas R SaddaDoheny Eye Institute, Los Angeles, CA, USA.
Olivia L LeeDoheny Eye Institute, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study is to evaluate whether a single best image can represent central endothelial cell density (ECD) in corneas of differing cell size coefficient of variance (CV).

methodsFour hundred one healthy eyes but with variant CV values were enrolled. For each eye, three nonoverlapping central cornea endothelium images were obtained with Konan NSP-9900 specular microscope. ECD and CV were evaluated by two independent graders using the well-established Center method. Only corneas with high image quality rating (IQR) and ECD >800 cell/mm

resultsThe study sample includes a total of 278 eyes. High ECD agreement for the two independent graders (intraclass correlation coefficient [ICC] > 0.99), high ECD intragrader reproducibility (ICC > 0.95), low ECD variance (2.0% ± 1.6%, overall), no correlation between the ECD variation and the CV value (

conclusionsCV does not appear to be associated with ECD variance in the central cornea. TRANSLATIONAL RELEVANCE: This finding highlights that in healthy corneas but with high CV values, ECD can be reliably analyzed using one single image of best quality.

Indexed as

coefficient of variance in cell sizecorneal endothelial cells densitypolymegathismspecular microscopy

Identifiers

PMID31171990
PMCPMC6543923

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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.