Evidence map›Paper›PMID 36144219›Full record

ReviewMetabolites2022

Metabolomics and Biomarkers in Retinal and Choroidal Vascular Diseases.

Xiao-Wen Hou, Ying Wang, Chao-Fu Ke, Mei-Yan Li, Chen-Wei Pan

Abstract readReview
In one paragraph

Review in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. AAV2-antiVEGFscFv gene therapy for retinal neovascularization.Molecular therapy. Methods & clinical development · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors.

Xiao-Wen HouSchool of Public Health, Medical College of Soochow University, Suzhou 215123, China.ORCID 0000-0001-5067-7966
Ying WangSchool of Public Health, Medical College of Soochow University, Suzhou 215123, China.
Chao-Fu KeSchool of Public Health, Medical College of Soochow University, Suzhou 215123, China.
Mei-Yan LiDepartment of Ophthalmology, EYE & ENT Hospital of Fudan University, Shanghai 200031, China.
Chen-Wei PanSchool of Public Health, Medical College of Soochow University, Suzhou 215123, China.ORCID 0000-0003-3362-4613

Funding

National Natural Science Foundation of China 81973061
6 · The paper itself

Abstract

The retina is one of the most important structures in the eye, and the vascular health of the retina and choroid is critical to visual function. Metabolomics provides an analytical approach to endogenous small molecule metabolites in organisms, summarizes the results of "gene-environment interactions", and is an ideal analytical tool to obtain "biomarkers" related to disease information. This study discusses the metabolic changes in neovascular diseases involving the retina and discusses the progress of the study from the perspective of metabolomics design and analysis. This study advocates a comparative strategy based on existing studies, which encompasses optimization of the performance of newly identified biomarkers and the consideration of the basis of existing studies, which facilitates quality control of newly discovered biomarkers and is recommended as an additional reference strategy for new biomarker discovery. Finally, by describing the metabolic mechanisms of retinal and choroidal neovascularization, based on the results of existing studies, this study provides potential opportunities to find new therapeutic approaches.

Indexed as

diabetic retinopathymetabolomicsneovascular age-related macular degenerationretinal neovascularizationretinopathy of prematurity

Identifiers

PMID36144219
PMCPMC9503269

What OpenQuestion holds

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Read underepoch 390

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.