Trial · NCT07882667
Development of a Multidimensional Prediction Model for the Course and Outcome of Early-Onset Juvenile Idiopathic Arthritis (JIA)
NCT07882667, Recruiting, Istituto Giannina Gaslini
3 sourcestrials-2026-11-12-0.5.0
Cite this record
ConductScience Library. Development of a Multidimensional Prediction Model for the Course and Outcome of Early-Onset Juvenile Idiopathic Arthritis (JIA). Trials, record NCT07882667. Release trials-2026-11-12-0.5.0, 12 Nov 2026. https://conductscience.org/library/trials/NCT07882667
On this page
Trial
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
- Title
- Development of a Multidimensional Prediction Model for the Course and Outcome of Early-Onset Juvenile Idiopathic Arthritis (JIA)
- NCT number
- NCT07882667
- Status
- Recruiting
- Enrollment
- 130 participants, estimated
- Lead sponsor
- Istituto Giannina Gaslini
- Conditions
- Juvenile Idiopathic Arthritis (JIA)
- First posted
- 2026-10-20
- Last updated
- 2026-10-20
Source ClinicalTrials.gov
Registered outcomes3
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description |
|---|---|---|---|
| Primary | Construction of an integrated multiparametric prediction model | 24 months | In the 1st phase, data will be pre-processed to make them suitable to be analyzed by machine learning techniques (harmonized, filtered, imputed, and mapped). In the 2nd phase the most suitable machine learning approach will be designed. Model design will involve the selection of a suitable supervised learning approach such as multivariate time-series forecasting, and the identification of technical solutions to manage dataset sparseness, model overfitting, and class unbalancing. In the 3rd phase, the machine learning model will be implemented using open-source languages such as Python. Programming code will be tested in virtualized environment using synthetic and\\or real data collected in the previous phases of the project. In the 4th phase, the storage and computational resources will be acquired and set up to be employed. In the 5th phase, parts of the dataset will be randomly split in two groups. One group will be used to train the machine learning model and the second for testing. |
| Secondary | Evaluation of parameters for the prediction of polyarticular extension | 24 months | To evaluate the predictive ability of a wide range of clinical, ultrasound, genetic, multiomic, and immunological parameters for the prediction of polyarticular extension in patients with early-onset JIA. |
| Secondary | Evaluation of parameters for the prediction of iridocyclitis | 24 months | To evaluate the predictive ability and specificity of clinical, ultrasound, genetic, multiomic, and immunological parameters for the prediction of iridocyclitis development in patients with early-onset JIA. |
Source ClinicalTrials.gov
Outcomes0
Each outcome the trial posted results for, in ClinicalTrials.gov's words.
None in this release.
Results by group0
Each measurement the trial posted, group by group, in the words and numbers it posted.
None in this release.
Participant flow0
How many started, completed or left each group, period by period.
None in this release.
Adverse events0
Each adverse event the trial posted, group by group: the participants affected out of those at risk.
None in this release.
Adverse event totals0
The totals the trial posted for each group.
None in this release.
Papers0
The papers the trial lists on ClinicalTrials.gov.
None in this release.
Grants0
The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.
None in this release.
Trial comparisons0
Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.
None in this release.
Tests0
The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.
None in this release.
Data dates
The day each source was copied for this release.
Sources 3
- ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
- ClinicalTrials.govNo license stated
- NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
- ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
- ClinicalTrials.govnone stated
- NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
For software
Read this trial from software.
The record and each of its lists are JSON, twenty rows a page. No key.
GET https://conductscience.org/api/trials/v1/NCT07882667
GET https://conductscience.org/api/trials/v1/NCT07882667/registered