Evidence map›Paper›PMID 32059661›Full record

ArticleBMC ophthalmology2020

Optical coherence tomography features of retinal lesions in Chinese patients with endogenous Candida endophthalmitis.

Hong Zhuang, Xinyi Ding, Fengjuan Gao, Ting Zhang, Yingqin Ni, Qing Chang, Gezhi Xu

Open access · goldAbstract read
In one paragraph

Article in BMC ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Twelve-month functional and structural outcomes ofFrontiers in cellular and infection microbiology · 2026
    Article
  3. [Endogenous Candida endophthalmitis].Die Ophthalmologie · 2024
    Review
  4. Article
  5. Endophthalmitis: a bibliometric study and visualization analysis from 1993 to 2023.Frontiers in cellular and infection microbiology · 2024
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Sarcoid uveitis: A case report and systematic review of literature.Advances in ophthalmology practice and research
    Article
  14. 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.

Hong ZhuangDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, 200031, China.
Xinyi DingDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, 200031, China.
Fengjuan GaoDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, 200031, China.
Ting ZhangDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, 200031, China.
Yingqin NiDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, 200031, China.
Qing ChangDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, 200031, China.
Gezhi XuDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, 200031, China. drxugezhi@163.com.ORCID http://orcid.org/0000-0001-8441-9690
Fudan University · CN

Funding

National Natural Science Foundation of China 81570855National Natural Science Foundation of China 81600739Shanghai Hospital Development Center SHDC12016116
6 · The paper itself

Abstract

backgroundTo evaluate the optical coherence tomography (OCT) features of retinal lesions in Chinese patients with endogenous Candida endophthalmitis (ECE).

methodsWe performed a retrospective review of patients diagnosed with ECE at one medical center. The medical records of the patients including predisposing risk factors, treatment and visual acuity were reviewed. And we focused on the analysis of OCT images of retinal lesions before and after treatment.

resultsA total of 16 Chinese patients (22 eyes) were included in this study. The most frequent predisposing risk factors were intravenous use of corticosteroids or antibiotics, lithotripsy for urinary calculi, and diabetes. After treatment, visual acuity was improved in 13 (59.1%) of the 22 eyes, and remained the same in the other 9 (40.9%) eyes. Pre-treatment OCT images obtained at presentation were available for 17 of the 22 eyes. Four types of the OCT manifestations of retinal lesions were identified: type 1 (subretinal macular lesions), type 2 (lesions are located in the inner retinal layer), type 3 (lesions involve the full-thickness retina and accompanied with macular edema), type 4 (sub-inner limiting membrane lesions). Pre-treatment OCT imaging of the 17 eyes revealed five as type 1, four as type 2, six as type 3, and two as type 4. After treatment, OCT images revealed epiretinal membrane and subretinal fibrosis as the most common post-treatment complications of ECE. Epiretinal membrane was detected in 2/4 type 2 lesions, in 4/6 type 3 lesions, and in 1/2 type 4 lesions, while subretinal fibrosis was mainly seen in type 1 lesions (4/5). Among the types, visual prognosis was best in eyes with type 2 lesions.

conclusionsIn this case series, the OCT manifestations of retinal lesions in ECE could be classified into four types. The post-treatment OCT manifestations were different in four types of lesions. We preliminarily found that the OCT morphology of retinal lesions was associated with the visual prognosis of ECE.

Indexed as

Tomography, Optical CoherenceAdultAgedAmphotericin BAntifungal AgentsAsian PeopleCandidiasisEndophthalmitisEye Infections, FungalFemaleFluorescein AngiographyHumansIntravitreal InjectionsMaleMiddle AgedRetinal DiseasesAmphotericin BAntifungal AgentsCandida albicansEndogenous endophthalmitisOptical coherence tomographyRetinal lesion

Identifiers

PMID32059661
PMCPMC7020574
OpenAlexW3007376505

What OpenQuestion holds

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LicenceCC BY
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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.