Evidence map›Paper›PMID 37685453›Full record

ArticleHealthcare (Basel, Switzerland)2023

Multi-Criterial Model for Weighting Biological Risk Factors in Multiple Sclerosis: Clinical and Health Insurance Implications.

Roberto De Masi, Stefania Orlando, Chiara Leo, Matteo Pasca, Luca Anzilli, Maria Carmela Costa

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 71% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Roberto De MasiComplex Operative Unit of Neurology, "F. Ferrari" Hospital, Casarano, 73042 Lecce, Italy.ORCID 0000-0002-7587-8112
Stefania OrlandoLaboratory of Neuroproteomics, Multiple Sclerosis Centre, "F. Ferrari" Hospital, Casarano, 73042 Lecce, Italy.ORCID 0000-0003-2403-9228
Chiara LeoDepartment of Management, Economics, Mathematics and Statistics, University of Salento, 73100 Lecce, Italy.
Matteo PascaComplex Operative Unit of Neurology, "F. Ferrari" Hospital, Casarano, 73042 Lecce, Italy.
Luca AnzilliDepartment of Management, Economics, Mathematics and Statistics, University of Salento, 73100 Lecce, Italy.ORCID 0000-0001-7325-4923
Maria Carmela CostaComplex Operative Unit of Ophthalmology, "V. Fazzi" Hospital, 73100 Lecce, Italy.
Ferrari (Italy) · ITUniversity of Salento · ITOspedale Vito Fazzi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The etiology of Multiple Sclerosis (MS) remains undetermined. Its pathogenic risk factors are thought to play a negligible role individually in the development of the disease, instead assuming a pathogenic role when they interact with each other. Unfortunately, the statistical weighting of this pathogenic role in predicting MS risk is currently elusive, preventing clinical and health insurance applications. Here, we aim to develop a population-based multi-criterial model for weighting biological risk factors in MS; also, to calculate the individual MS risk value useful for health insurance application. Accordingly, among 596 MS patients retrospectively assessed at the time of diagnosis, the value of vitamin D < 10 nm/L, BMI (Body Mass Index) < 15 Kg/m

Indexed as

Choquet integralfuzzy algorithmhealth insurancemultiple sclerosisrisk factor

Identifiers

PMID37685453
PMCPMC10487566
OpenAlexW4386250442

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.