Evidence map›Paper›PMID 35887531›Full record

ArticleJournal of personalized medicine2022

WARE: Wet AMD Risk-Evaluation Tool as a Clinical Decision-Support System Integrating Genetic and Non-Genetic Factors.

Carlo Fabrizio, Andrea Termine, Valerio Caputo, Domenica Megalizzi, Stefania Zampatti, Benedetto Falsini, Andrea Cusumano, Chiara Maria Eandi, Federico Ricci, Emiliano Giardina and 2 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. 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
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.

  1. Article
  2. Cells · 2022
    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

12 authors.

Carlo FabrizioData Science Unit, IRCCS Santa Lucia Foundation c/o CERC, 00143 Rome, Italy.ORCID 0000-0002-7824-8423
Andrea TermineData Science Unit, IRCCS Santa Lucia Foundation c/o CERC, 00143 Rome, Italy.ORCID 0000-0003-4374-7430
Valerio CaputoGenomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.ORCID 0000-0002-3503-3318
Domenica MegalizziGenomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
Stefania ZampattiGenomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
Benedetto FalsiniOphthalmology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-1694-1062
Andrea CusumanoDepartment of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 00133 Rome, Italy.
Chiara Maria EandiDepartment of Surgical Science, University of Torino, 10124 Torino, Italy.
Federico RicciUOSD Retinal Diseases, PTV Foundation, University of Rome Tor Vergata, 00133 Rome, Italy.
Emiliano GiardinaGenomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
Claudia StrafellaGenomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.ORCID 0000-0003-1334-0920
Raffaella CascellaDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the multifactorial features characterizing age-related macular degeneration (AMD), the availability of a tool able to provide the individual risk profile is extremely helpful for personalizing the follow-up and treatment protocols of patients. To this purpose, we developed an open-source computational tool named WARE (Wet AMD Risk Evaluation), able to assess the individual risk profile for wet AMD based on genetic and non-genetic factors. In particular, the tool uses genetic risk measures normalized for their relative frequencies in the general population and disease prevalence. WARE is characterized by a user-friendly web page interface that is intended to assist clinicians in reporting risk assessment upon patient evaluation. When using the tool, plots of population risk distribution highlight a "low-risk zone" and a "high-risk zone" into which subjects can fall depending on their risk-assessment result. WARE represents a reliable population-specific computational system for wet AMD risk evaluation that can be exploited to promote preventive actions and personalized medicine approach for affected patients or at-risk individuals. This tool can be suitable to compute the disease risk adjusted to different populations considering their specific genetic factors and related frequencies, non-genetic factors, and the disease prevalence.

Indexed as

agingAMDgenetic and non-genetic factorspersonalized approachrisk evaluationtool

Identifiers

PMID35887531
PMCPMC9321802

What OpenQuestion holds

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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.