Evidence map›Paper›PMID 36368942›Full record

ArticleBMC ophthalmology2022

Beta zone parapapillary atrophy in elderly Chinese.

Ling Xiao Zhou, Lei Shao, Wen Da Zhou, Liang Xu, Rong Li, Wen Bin Wei

Abstract read
In one paragraph

Article in BMC ophthalmology, 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
–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

1 citing paper in PubMed.

  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

6 authors.

Ling Xiao Zhou *Department of Ophthalmology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, China.
Lei Shao *Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, 1 Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China.
Wen Da ZhouBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, 1 Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China.
Liang XuBeijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Rong LiDepartment of Ophthalmology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, China.
Wen Bin WeiBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, 1 Dong Jiao Min Xiang, Dong Cheng District, Beijing, 100730, China. weiwenbintr@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAssess the beta zone parapapillary atrophy in elderly Chinese. PATIENTS AND

methodsThe Beijing Eye Study 2011 is a population-based cross-sectional study, which includes 3468 patients with the average age of 64.5 ± 9.8 years. The beta zone of parapapillary atrophy was captured and analyzed morphometrically by using colour optic disc photographs.

resultsThe beta zone was found in 1358 (39.9%) eyes, measuring 0.37 ± 0.84 mm

conclusionThe population prevalence of beta zone was 39.9% in elderly Chinese. The area of the beta zone has statistically significant association with age, urban, the thickness of retinal nerve fiber layer, age related macular degeneration, cardiovascular disease history, axial length, myopic refractive error, size of optic disc size, the thickness of subfoveal choroid.

Indexed as

Cardiovascular DiseasesMacular DegenerationMyopiaOptic AtrophyAgedAtrophyAxial Length, EyeBeijingCross-Sectional StudiesHumansMaleMiddle AgedTomography, Optical CoherenceBeta zoneColour optic disc photographsMorphometrically analyzeThe Beijing eye study 2011

Identifiers

PMID36368942
PMCPMC9652865

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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.