Evidence map›Paper›PMID 35207212›Full record

ArticleJournal of clinical medicine2022

Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration.

Ines Lains, Kevin M Mendez, João Q Gil, John B Miller, Rachel S Kelly, Patrícia Barreto, Ivana K Kim, Demetrios G Vavvas, Joaquim Neto Murta, Liming Liang and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

14 authors at 6 institutions in 2 countries.

Ines LainsMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-8136-4724
Kevin M MendezSystems Genetics and Genomics Unit, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
João Q GilFaculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal.
John B MillerMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0003-0109-9738
Rachel S KellySystems Genetics and Genomics Unit, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-3023-1822
Patrícia BarretoAssociation for Innovation and Biomedical Research on Light and Image, 3000-548 Coimbra, Portugal.
Ivana K KimMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Demetrios G VavvasMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Joaquim Neto MurtaFaculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal.
Liming LiangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Rufino SilvaFaculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0000-0001-8676-0833
Joan W MillerMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Jessica Lasky-SuSystems Genetics and Genomics Unit, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Deeba HusainMassachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA.
Massachusetts Eye and Ear Infirmary · USBrigham and Women's Hospital · USHospitais da Universidade de Coimbra · PTAssociation for Innovation and Biomedical Research on Light and Image · PTHarvard University · USUniversity of Coimbra · PT

Funding

Metabolomics a Novel Tool for Investigating the Pathogenesis of Age-related Macular DegenerationR01EY030088 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Deeba Husain · 2020 to 2026
$3.5M
Multi-Omic Endotyping of AsthmaK01HL146980 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI KELLY, RACHEL SABINE · 2019 to 2023
$891k
Champalimaud Foundation Retina researchNEI NIH HHS R01 EY030088NHLBI NIH HHS K01 HL146980NIH HHS R01EY030088Research to Prevent Blindness unrestricted department grant
6 · The paper itself

Abstract

We and others have shown that patients with different severity stages of age-related macular degeneration (AMD) have distinct plasma metabolomic profiles compared to controls. Urine is a biofluid that can be obtained non-invasively and, in other fields, urine metabolomics has been proposed as a feasible alternative to plasma biomarkers. However, no studies have applied urinary mass spectrometry (MS) metabolomics to AMD. This study aimed to assess urinary metabolomic profiles of patients with different stages of AMD and a control group. We included two prospectively designed, multicenter, cross-sectional study cohorts: Boston, US (

Indexed as

age-related macular degenerationmetabolomicsurine

Identifiers

PMID35207212
PMCPMC8874679
OpenAlexW4213032815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.