Evidence map›Paper›PMID 32566514›Full record

ReviewInternational journal of ophthalmology2020

Metabolomics and biomarkers in ocular matrix: beyond ocular diseases.

Yun Luo, Hong-Pei Cui, Yi Liu, Lei Chen

Open access · goldAbstract readReview
In one paragraph

Review in International journal of ophthalmology, 2020. 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
0.3field-weighted citation impact, top 43% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Acylcarnitines in Ophthalmology: Promising Emerging Biomarkers.International journal of molecular sciences · 2022
    Review
  9. Metabolomics Analyses of Mouse Retinas in Oxygen-Induced Retinopathy.Investigative ophthalmology & visual science · 2021
    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

4 authors at 1 institution in 1 country.

Yun LuoSchool of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong Province, China.
Hong-Pei CuiDepartment of Ophthalmology, Henan Provincial People's Hospital, Zhengzhou 450003, Henan Province, China.
Yi LiuSchool of Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China.
Lei ChenSchool of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong Province, China.
Guangdong Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the recent report, there are 870 million people suffer from ocular diseases worldwide. The present approaches for diagnosis are morphological examination, imaging examination and immunological examination, regrettably, they lack of sensitivity and difficult to make a definite diagnosis in the early stage. Systemic biology as an effective method has been used in clinical diagnosis and treatment for diseases, especially metabolomics which is more attractive with high sensitivity and accuracy. Although previous researches had been confirmed that endogenous metabolites in the ocular matrix play a crucial role in the progress of diseases related diseases, the standard protocols and systematic summary about the biomarker researches based on ocular matrix has not been established. This review article highlights the pretreatment for ocular matrix and the new biomarkers expressed by the eye diseases, expected to promote the application of biomarkers in the diagnosis and treatment of eye diseases.

Indexed as

biomarkersdiagnosismetabolomicsocular diseasesocular matrix

Identifiers

PMID32566514
PMCPMC7270262
OpenAlexW3031203232

What OpenQuestion holds

Textmetadata
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.