Evidence map›Paper›PMID 28808662›Full record

ArticleBioMed research international2017

The Status of Maculopathy in Diabetes and Prediabetes Patients in a Population-Based Study Detected by Optical Coherence Tomography: The 2011 Health Examination Survey in Beijing.

Xi Cao, Zhong Xin, Shiming Li, Yue Qi, Mingxia Yuan, Xiaorong Zhu, Jin-Kui Yang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 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 87% 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, 4 citations in OpenAlex.

  1. Article
  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

7 authors at 1 institution in 1 country.

Xi CaoDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 10730, China.
Zhong XinDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 10730, China.
Shiming LiBeijing Tongren Eye Center, Beijing Tongren Hospital of Capital Medical University, Beijing 100730, China.
Yue QiBeijing Tongren Eye Center, Beijing Tongren Hospital of Capital Medical University, Beijing 100730, China.
Mingxia YuanDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 10730, China.
Xiaorong ZhuDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 10730, China.
Jin-Kui YangDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 10730, China.ORCID 0000-0002-5430-2149
Beijing Tongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study was to investigate the prevalence and the risk factors of maculopathy detected by optical coherence tomography (OCT) in a Chinese population with diabetes or prediabetes.

resultsIn this study population, 21 (3.95%) patients had maculopathy. Eight patients had diabetes macular edema (DME) and the prevalence was 6.72% in diabetes patients and 1.51% in all subjects. Eleven patients had age-related macular degeneration (AMD) and the prevalence was 3.36% in diabetes patients and 2.07% in all subjects. Logistic regression model confirmed that elevated HbA1c (

conclusionsHigh prevalence of maculopathy was found in patients with diabetes in a Chinese population. Maculopathy poses a significant public health problem in China with rapid rising trend of diabetes.

Indexed as

AdolescentAdultAgedDiabetes ComplicationsDiabetes MellitusFemaleHumansMacular DegenerationMaleMiddle AgedPrediabetic StateTomography, Optical Coherence

Identifiers

PMID28808662
PMCPMC5541794
OpenAlexW2739449423

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.