Rheumatoid Arthritis (RAPix-RiskNCT07825233
Pix-Risk: Early Detection of Rheumatoid Arthritis Via the DETECTRA Platform
A study testing DETECTRA in people with Rheumatoid Arthritis (RA, run by Centre Hospitalier Universitaire Vaudois at 5 sites in 4 countries.
Trial summary
The goal of this clinical trial is to learn if a remote monitoring application called DETECTRA can help doctors diagnose rheumatoid arthritis earlier in people who are at risk of developing the disease. It will also learn about the safety and usefulness of this approach. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Rheumatoid Arthritis (RA
- What is being tested?
- DETECTRA
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 142 participants
- Where
- 5 sitesin 4 countries
- Study dates
- 28 Sep 2026to 31 Jul 2029
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Must provide and sign the study's Informed Consent prior to any study-related procedures
- Able to understand and interact with the study team
- Agree to comply in good faith with all conditions of the recordings, and to attend all required study procedures.
- Arthralgia (including hand joints PIP and or MCP)
- Joint symptoms (arthralgia or stiffness) of recent onset (symptoms <1 year)
- Known positive ACPA-titer with written proof
- Aged 18 years-old or more
Who cannot join
- Deformation of the hands or patients who have undergone joint arthrodesis or arthroplasty
- Known microcrystal disease (e.g. gout, calcium pyrophosphate deposition) if hands are affected or pre-existing immune-mediated rheumatic diseases such as systemic lupus erythematosus or Sjögren's disease
- Fulfilling the ACR/EULAR 2010 classification criteria for diagnosis of RA (≥ 6 points)
- Known or suspected clinical synovitis by physician in > 3 small joints (with or without involvement of large joints)
- Any previous b, ts, and csDMARDs use
- Lymphoedema in arms or hands following an axillary lymph node dissection
Show all 16Show fewer
- Inability to provide written informed consent
- Severe cognitive impairment, severe psychiatric conditions or other inability to follow the procedures of the study
- Immunosuppressive therapy for other autoimmune conditions <2 years ago
- Any Immunosuppressive therapy for other autoimmune conditions with B-cell depletion
- Haematological or oncological treatments involving induction and / or maintenance chemotherapy within the last 5 years are not permitted
- Participation in another investigation with an investigational drug or another MD within the 30 days preceding the trial or currently participating or planning to participate in an interventional trial
- No regular (at least every 2 weeks) access to a smartphone
- Adults who lack capacity to consent, known pregnant and breastfeeding women
- Subjects for whom routine examination of the musculoskeletal system is not possible, or whose hands cannot be imaged (e.g., bandages that cannot be removed for hand picture taking, or injuries affecting the PIP joints both persisting for > 49 days)
- Enrolment of the PI, his/her family members, employees and other dependent persons
Trial locations and contacts
5 sites in 4 countries. Contact the study team or a site near you to ask about taking part.
5 sites in 4 countries
Germany2 sites
Charite Universitätsmedizin Berlin
Berlin
Arnd Kleyer, arnd.kleyer@charite.de
arnd.kleyer@charite.de
Ruhr University Bochum
Bochum
Philipp Sewerin, philipp.sewerin@elisabethgruppe.de
Austria1 site
Medical University Vienna
Vienna
Irina Gessl, Dr., +43 1 40400 43010, irina.gessl@meduniwien.ac.at
Denmark1 site
Copenhagen Center for Arthritis Research (COPECARE), Rigshospitalet
Copenhagen
Lene Terslev
Lene Terslev, Prof.
Switzerland1 site
Centre Hospitalier Unversitaire Vaudois
Lausanne, 1011
Thomas Hügle, Prof., +41795568068, thomas.hugle@chuv.ch
Thomas hügle, Prof.
About this study
Official title: A Randomised, Two-arm, Parallel-assigned Open-label Standard-of-care Controlled Trial to Investigate the Efficacy of Using the Remote Patient Monitoring Platform DETECTRA to Shorten Time-to-diagnosis of Rheumatoid Arthritis in At-risk Patients.
The goal of this clinical trial is to learn if a remote monitoring application called DETECTRA can help doctors diagnose rheumatoid arthritis earlier in people who are at risk of developing the disease. It will also learn about the safety and usefulness of this approach.
The main questions it aims to answer are:
Read more
Does monitoring symptoms through the DETECTRA application help doctors diagnose rheumatoid arthritis earlier than standard medical follow-up? Does the use of the application help doctors identify signs of arthritis and arrange a medical consultation sooner? How does the disease progress in participants, and how well are their symptoms controlled?
A total of 142 adults will take part in the study. Participants will be randomly assigned to one of two groups:
- Receive standard medical care
- Receive standard medical care and use the DETECTRA application
Participants using the application will:
Answer questions about their symptoms every 2 weeks Take photographs of their hands using their smartphone Have their information reviewed remotely by doctors
The study will also look at how participants use the application and whether remote monitoring could be useful for the healthcare system.
Read the detailed description
The Pix-Risk study is an international clinical trial investigating whether a remote monitoring application called DETECTRA can help diagnose rheumatoid arthritis earlier in people who are at risk of developing the disease. These patients have recently developed joint pain and have a positive blood test indicating an increased risk, but they have not yet been diagnosed with the disease.
A total of 142 adults will participate in the study. They will be randomly assigned to two groups: one group will receive standard medical care, while the other will have access to the DETECTRA application in addition to standard care. Every two weeks, participants using the application will be asked to answer a few questions about their symptoms and take photographs of their hands using their smartphone. Doctors will be able to review this information remotely to identify signs of arthritis at an earlier stage and arrange a consultation if necessary.
The main objective is to determine whether this digital monitoring approach allows rheumatoid arthritis to be diagnosed more quickly than standard follow-up. The researchers will also assess disease progression, symptom control, use of the application, and its potential benefits for the healthcare system.
The study involves minimal risks, as it primarily relies on questionnaires, photographs, and routine medical examinations. The aim is to improve the early detection of the disease so that treatment can be started earlier and joint damage can be reduced.
- Conditions
- Rheumatoid Arthritis (RA
- Being tested
- DETECTRA, Standard of Care (SOC)
- Keywords
- pre-RA, software as a medical device, time-to-diagnosis
- Medical subject headings
- Arthritis, Rheumatoid
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
DETECTRADevice
Intervention arm (DETECTRA):
Participants receive standard of care plus use of the DETECTRA remote monitoring app. Every two weeks, patients capture hand images and report symptoms via smartphone. Data are reviewed remotely by clinicians to support early detection of rheumatoid arthritis. The intervention is non-invasive, software-based, and continues up to 24 months or until diagnosis.
Standard of Care (SOC)Other
Participants receive standard rheumatology care only, with in-person visits and follow-up according to routine clinical practice.
| Study group | Role | What they receive |
|---|---|---|
| Control group | Other | Standard-of-care Receives: Other: Standard of Care (SOC) |
| DETECTRA | Experimental | The intervention group will receive the DETECTRA application on top of the standard-of-care and will use it every two weeks to upload hand images and report patient reported outcomes. Receives: Device: DETECTRA |
What is being measured
The primary outcome is the main question the study is designed to answer.
Time-to-diagnosis
Time (in days) from study enrollment to confirmed clinical diagnosis of rheumatoid arthritis (with the ACR/EULAR 2010 classification criteria for RA (≥ 6 points) and / or physician diagnosis with start of DMARDs) in ACPA-positive arthralgia patients, comparing the DETECTRA group to the standard-of-care group.
Measured: From study enrollement to confirmed clinical diagnosis
Secondary outcomes (7)
Difference in DAS28-CRP and SDAI
Difference in DAS28-CRP and SDAI after 24 months will be assessed by a trained rheumatologist in the DETECTRA group as compared to the standard-of-care group (only in RA confirmed patients).
Measured: From study enrollement until the end of the study (24months)
Remission rates
Percentage of patients in remission after 24 months will be assessed by a trained rheumatologist in the DETECTRA group as compared to the standard-of-care group (only in RA confirmed patients).
Measured: From study enrollement until the end of study (24months)
Sensitivity
Sensitivity: Missed onsets/diagnosis of clinical arthritis in the intervention group: This endpoint will be assessed if a patient comes for a visit based on his request and in the closure visit. Any confirmed RA is classified as a missed diagnosis if patients request a visit (or in the planned closure visit) and are diagnosed without that the physician had previously recognized signs via the platform of a potential onset of RA.
Measured: From study enrollement until the end of study (24months)
Specificity
Specificity: False diagnoses in the intervention group will be assessed at any interim visit and is reported if a patient got flagged via the platform, came in for confirmation but does not get diagnosed.
Measured: From enrolement until the end of study (24months).
Adherence
Percentage of submissions on the platform (totally expected submissions = every two weeks until diagnosis or end of trial) per patient during the duration of the study (2 years). Only for patients in the intervention group.
Measured: From study enrollement until diagnosis or end of study (24months)
Adherence
Average amount of reminders (calls by the study nurse but not the automatic reminders via the app) per patient needed for the duration of the study (2 years). Only for participants in the intervention group.
Measured: From enrolement until end of study (24months) or until diagnosis of RA.
Cost-effectiveness estimates
The primary outcome of interest for the health economic evaluation is cost-effectiveness, expressed as the incremental cost per Quality-Adjusted Life Year (QALY) gained through the use of DETECTRA compared to standard-of-care. Data for the evaluation will be collected from both the DETECTRA system and clinical records during the trial. Through the app, patients will report PROs including self-assessed joint counts (tender and swollen), global pain and stiffness scores (via VAS-like scales), medication use, free-text symptom notes, and joint-specific pain reports. At the clinic level, data will be collected on the timing and number of visits, formal RA diagnoses, and DMARD treatment initiations. These trial-derived endpoints-particularly time-to-diagnosis, time to DMARD start, and proportion diagnosed within defined timeframes-will inform a Markov model to extrapolate long-term costs and outcomes beyond the trial period. QALYs will be estimated using available health state information
Measured: Full study duration (24months)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Sep 2026
- Study start28 Sep 2026 (estimated)
- Primary completion31 Jul 2029 (estimated)
- Study completion31 Jul 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (24)Papers the sponsor has linked to this study.
- Other trials for Rheumatoid Arthritis (RAStudies of the same condition, open and under way.
- More trials run by Centre Hospitalier Universitaire VaudoisThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 142 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Centre Hospitalier Universitaire Vaudois
- Sponsor type
- University, hospital or other
- Collaborators
- Staatssekretariat für Bildung Forschung und Innovation SBFI, European Commission
- Responsible party
- Principal investigator, Thomas Hügle, Centre Hospitalier Universitaire Vaudois
- Investigators
- Thomas hügle, Prof., Principal investigator, Centre hospitalier universitaire vaudois (CHUV)
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07825233
- Sponsor's protocol ID
- 2026-D0063
- Other IDs
- 101194766
- Acronym
- Pix-Risk
- Status last verified
- Sep 2026
- First submitted
- 5 Sep 2026
- Last updated
- 17 Sep 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Frederiksen BA, Hammer HB, Terslev L, Ammitzboll-Danielsen M, Savarimuthu TR, Weber ABH, Just SA. Automated ultrasound system ARTHUR V.2.0 with AI analysis DIANA V.2.0 matches expert rheumatologist in hand joint assessment of rheumatoid arthritis patients. RMD Open. 2025 Aug 5;11(3):e005805. doi: 10.1136/rmdopen-2025-005805.
PubMed 40764087Sokka T, Pincus T. Most patients receiving routine care for rheumatoid arthritis in 2001 did not meet inclusion criteria for most recent clinical trials or american college of rheumatology criteria for remission. J Rheumatol. 2003 Jun;30(6):1138-46.
PubMed 12784382Finckh A, Liang MH, van Herckenrode CM, de Pablo P. Long-term impact of early treatment on radiographic progression in rheumatoid arthritis: A meta-analysis. Arthritis Rheum. 2006 Dec 15;55(6):864-72. doi: 10.1002/art.22353.
PubMed 17139662Raza K, Stack R, Kumar K, Filer A, Detert J, Bastian H, Burmester GR, Sidiropoulos P, Kteniadaki E, Repa A, Saxne T, Turesson C, Mann H, Vencovsky J, Catrina A, Chatzidionysiou A, Hensvold A, Rantapaa-Dahlqvist S, Binder A, Machold K, Kwiatkowska B, Ciurea A, Tamborrini G, Kyburz D, Buckley CD. Delays in assessment of patients with rheumatoid arthritis: variations across Europe. Ann Rheum Dis. 2011 Oct;70(10):1822-5. doi: 10.1136/ard.2011.151902. Epub 2011 Aug 7.
PubMed 21821867Rosa JE, Garcia MV, Luissi A, Pierini F, Sabelli M, Mollerach F, Soriano ER. Rheumatoid Arthritis Patient's Journey: Delay in Diagnosis and Treatment. J Clin Rheumatol. 2020 Oct;26(7S Suppl 2):S148-S152. doi: 10.1097/RHU.0000000000001196.
PubMed 31609811Kernder A, Thiele K, Chehab G, Schneider M, Callhoff J. Time interval between the onset of connective tissue disease symptoms and first contact with a rheumatologist: results from the German National Database of collaborative arthritis centers. Rheumatol Int. 2023 Aug;43(8):1453-1458. doi: 10.1007/s00296-023-05335-0. Epub 2023 Jun 1.
PubMed 37258745Morales-Ivorra I, Narvaez J, Gomez-Vaquero C, Moragues C, Nolla JM, Narvaez JA, Marin-Lopez MA. Assessment of inflammation in patients with rheumatoid arthritis using thermography and machine learning: a fast and automated technique. RMD Open. 2022 Jul;8(2):e002458. doi: 10.1136/rmdopen-2022-002458.
PubMed 35840312Morales-Ivorra I, Taverner D, Codina O, Castell S, Fischer P, Onken D, Martinez-Osuna P, Battioui C, Marin-Lopez MA. External Validation of the Machine Learning-Based Thermographic Indices for Rheumatoid Arthritis: A Prospective Longitudinal Study. Diagnostics (Basel). 2024 Jun 30;14(13):1394. doi: 10.3390/diagnostics14131394.
PubMed 39001284Pfeuffer N, Hartmann F, Grahammer M, Simon D, Schuster L, Kuhn S, Kronke G, Schett G, Knitza J, Kleyer A. Early detection of rheumatoid arthritis through patient empowerment by tailored digital monitoring and education: a feasibility study. Rheumatol Int. 2025 Feb 4;45(2):43. doi: 10.1007/s00296-025-05793-8.
PubMed 39903294van Mulligen E, Bour SS, Goossens LMA, de Jong PHP, Rutten-van Molken M, van der Helm-van Mil A. Is a 1-year course of methotrexate in patients with arthralgia at-risk for rheumatoid arthritis cost-effective? A cost-effectiveness analysis of the randomised, placebo-controlled TREAT EARLIER trial. Ann Rheum Dis. 2025 Jan;84(1):68-76. doi: 10.1136/ard-2024-226286. Epub 2025 Jan 2.
PubMed 39874236Barber CEH, Lacaille D, Croxford R, Barnabe C, Marshall DA, Abrahamowicz M, Xie H, Avina-Zubieta JA, Esdaile JM, Hazlewood GS, Faris P, Katz S, MacMullan P, Mosher D, Widdifield J. Investigating Associations Between Access to Rheumatology Care, Treatment, Continuous Care, and Healthcare Utilization and Costs Among Older Individuals With Rheumatoid Arthritis. J Rheumatol. 2023 May;50(5):617-624. doi: 10.3899/jrheum.220729. Epub 2023 Jan 15.
PubMed 36642438Hugle T, Caratsch L, Caorsi M, Maglione J, Dan D, Dumusc A, Blanchard M, Kalweit G, Kalweit M. Dorsal Finger Fold Recognition by Convolutional Neural Networks for the Detection and Monitoring of Joint Swelling in Patients with Rheumatoid Arthritis. Digit Biomark. 2022 Jun 8;6(2):31-35. doi: 10.1159/000525061. eCollection 2022 May-Aug.
PubMed 35949225Studenic P, Hensvold A, Kleyer A, van der Helm-van Mil A, Pratt AG, Sieghart D, Kronke G, Williams R, de Souza S, Karlfeldt S, Johannesson M, Krogh NS, Klareskog L, Catrina AI. Prospective Studies on the Risk of Rheumatoid Arthritis: The European Risk RA Registry. Front Med (Lausanne). 2022 Feb 22;9:824501. doi: 10.3389/fmed.2022.824501. eCollection 2022.
PubMed 35273981van der Woude D, van der Helm-van Mil AHM. Update on the epidemiology, risk factors, and disease outcomes of rheumatoid arthritis. Best Pract Res Clin Rheumatol. 2018 Apr;32(2):174-187. doi: 10.1016/j.berh.2018.10.005. Epub 2018 Nov 16.
PubMed 30527425Kleyer A, Krieter M, Oliveira I, Faustini F, Simon D, Kaemmerer N, Cavalcante A, Tabosa T, Rech J, Hueber A, Schett G. High prevalence of tenosynovial inflammation before onset of rheumatoid arthritis and its link to progression to RA-A combined MRI/CT study. Semin Arthritis Rheum. 2016 Oct;46(2):143-150. doi: 10.1016/j.semarthrit.2016.05.002. Epub 2016 May 18.
PubMed 27342772
Study at a glance
From the registry record, last updated by the sponsor on 17 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- A Randomised, Two-arm, Parallel-assigned Open-label Standard-of-care Controlled Trial to Investigate the Efficacy of Using the Remote Patient Monitoring Platform DETECTRA to Shorten Time-to-diagnosis of Rheumatoid Arthritis in At-risk Patients.
- ClinicalTrials.gov ID
- NCT07825233
- Acronym / sponsor ID
- Pix-Risk / 2026-D0063
- Conditions
- Rheumatoid Arthritis (RA
- Keywords
- pre-RA, software as a medical device, time-to-diagnosis
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 142 participants (estimated)
- Lead sponsor
- Centre Hospitalier Universitaire VaudoisUniversity, hospital or other
- Collaborators
- Staatssekretariat für Bildung Forschung und Innovation SBFI, European Commission
- Study start
- 28 Sep 2026 (estimated)
- Primary completion
- 31 Jul 2029 (estimated)
- Study completion
- 31 Jul 2029 (estimated)
- First posted
- 17 Sep 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The goal of this clinical trial is to learn if a remote monitoring application called DETECTRA can help doctors diagnose rheumatoid arthritis earlier in people who are at risk of developing the disease. It will also learn about the safety and usefulness of this approach.
The main questions it aims to answer are:
Does monitoring symptoms through the DETECTRA application help doctors diagnose rheumatoid arthritis earlier than standard medical follow-up? Does the use of the application help doctors identify signs of arthritis and arrange a medical consultation sooner? How does the disease progress in participants, and how well are their symptoms controlled?
A total of 142 adults will take part in the study. Participants will be randomly assigned to one of two groups:
- Receive standard medical care
- Receive standard medical care and use the DETECTRA application
Participants using the application will:
Answer questions about their symptoms every 2 weeks Take photographs of their hands using their smartphone Have their information reviewed remotely by doctors
The study will also look at how participants use the application and whether remote monitoring could be useful for the healthcare system.
Detailed description
The Pix-Risk study is an international clinical trial investigating whether a remote monitoring application called DETECTRA can help diagnose rheumatoid arthritis earlier in people who are at risk of developing the disease. These patients have recently developed joint pain and have a positive blood test indicating an increased risk, but they have not yet been diagnosed with the disease.
A total of 142 adults will participate in the study. They will be randomly assigned to two groups: one group will receive standard medical care, while the other will have access to the DETECTRA application in addition to standard care. Every two weeks, participants using the application will be asked to answer a few questions about their symptoms and take photographs of their hands using their smartphone. Doctors will be able to review this information remotely to identify signs of arthritis at an earlier stage and arrange a consultation if necessary.
The main objective is to determine whether this digital monitoring approach allows rheumatoid arthritis to be diagnosed more quickly than standard follow-up. The researchers will also assess disease progression, symptom control, use of the application, and its potential benefits for the healthcare system.
The study involves minimal risks, as it primarily relies on questionnaires, photographs, and routine medical examinations. The aim is to improve the early detection of the disease so that treatment can be started earlier and joint damage can be reduced.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Control group | Other | Other: Standard of Care (SOC)Standard-of-care |
| DETECTRA | Experimental | Device: DETECTRAThe intervention group will receive the DETECTRA application on top of the standard-of-care and will use it every two weeks to upload hand images and report patient reported outcomes. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- Must provide and sign the study's Informed Consent prior to any study-related procedures
- Able to understand and interact with the study team
Key exclusion criteria (16 listed)
- Deformation of the hands or patients who have undergone joint arthrodesis or arthroplasty
- Known microcrystal disease (e.g. gout, calcium pyrophosphate deposition) if hands are affected or pre-existing immune-mediated rheumatic diseases such as systemic lupus erythematosus or Sjögren's disease
- Fulfilling the ACR/EULAR 2010 classification criteria for diagnosis of RA (≥ 6 points)
- Known or suspected clinical synovitis by physician in > 3 small joints (with or without involvement of large joints)
- Any previous b, ts, and csDMARDs use
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| DETECTRAIntervention arm (DETECTRA): Participants receive standard of care plus use of the DETECTRA remote monitoring app. Every two weeks, patients capture hand images and report symptoms via smartphone. Data are reviewed remotely by clinicians to support early detection of rheumatoid arthritis. The intervention is non-invasive, software-based, and continues up to 24 months or until diagnosis. | Device | DETECTRA |
| Standard of Care (SOC)Participants receive standard rheumatology care only, with in-person visits and follow-up according to routine clinical practice. | Other | Control group |
Primary outcome
Time-to-diagnosis
Time frame: From study enrollement to confirmed clinical diagnosis
Time (in days) from study enrollment to confirmed clinical diagnosis of rheumatoid arthritis (with the ACR/EULAR 2010 classification criteria for RA (≥ 6 points) and / or physician diagnosis with start of DMARDs) in ACPA-positive arthralgia patients, comparing the DETECTRA group to the standard-of-care group.
7 secondary outcomes
Difference in DAS28-CRP and SDAI
Time frame: From study enrollement until the end of the study (24months)
Remission rates
Time frame: From study enrollement until the end of study (24months)
Sensitivity
Time frame: From study enrollement until the end of study (24months)
Specificity
Time frame: From enrolement until the end of study (24months).
Adherence
Time frame: From study enrollement until diagnosis or end of study (24months)
Adherence
Time frame: From enrolement until end of study (24months) or until diagnosis of RA.
Cost-effectiveness estimates
Time frame: Full study duration (24months)
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 17 Sep 2026.
- Background: PubMed 40764087Frederiksen BA, Hammer HB, Terslev L, Ammitzboll-Danielsen M, Savarimuthu TR, Weber ABH, Just SA. Automated ultrasound system ARTHUR V.2.0 with AI analysis DIANA V.2.0 matches expert rheumatologist in hand joint assessment of rheumatoid arthritis patients. RMD Open. 2025 Aug 5;11(3):e005805. doi: 10.1136/rmdopen-2025-005805.
- Background: PubMed 12784382Sokka T, Pincus T. Most patients receiving routine care for rheumatoid arthritis in 2001 did not meet inclusion criteria for most recent clinical trials or american college of rheumatology criteria for remission. J Rheumatol. 2003 Jun;30(6):1138-46.
- Background: PubMed 17139662Finckh A, Liang MH, van Herckenrode CM, de Pablo P. Long-term impact of early treatment on radiographic progression in rheumatoid arthritis: A meta-analysis. Arthritis Rheum. 2006 Dec 15;55(6):864-72. doi: 10.1002/art.22353.
- Background: PubMed 21821867Raza K, Stack R, Kumar K, Filer A, Detert J, Bastian H, Burmester GR, Sidiropoulos P, Kteniadaki E, Repa A, Saxne T, Turesson C, Mann H, Vencovsky J, Catrina A, Chatzidionysiou A, Hensvold A, Rantapaa-Dahlqvist S, Binder A, Machold K, Kwiatkowska B, Ciurea A, Tamborrini G, Kyburz D, Buckley CD. Delays in assessment of patients with rheumatoid arthritis: variations across Europe. Ann Rheum Dis. 2011 Oct;70(10):1822-5. doi: 10.1136/ard.2011.151902. Epub 2011 Aug 7.
- Background: PubMed 31609811Rosa JE, Garcia MV, Luissi A, Pierini F, Sabelli M, Mollerach F, Soriano ER. Rheumatoid Arthritis Patient's Journey: Delay in Diagnosis and Treatment. J Clin Rheumatol. 2020 Oct;26(7S Suppl 2):S148-S152. doi: 10.1097/RHU.0000000000001196.
- Background: PubMed 37258745Kernder A, Thiele K, Chehab G, Schneider M, Callhoff J. Time interval between the onset of connective tissue disease symptoms and first contact with a rheumatologist: results from the German National Database of collaborative arthritis centers. Rheumatol Int. 2023 Aug;43(8):1453-1458. doi: 10.1007/s00296-023-05335-0. Epub 2023 Jun 1.
- Background: PubMed 35840312Morales-Ivorra I, Narvaez J, Gomez-Vaquero C, Moragues C, Nolla JM, Narvaez JA, Marin-Lopez MA. Assessment of inflammation in patients with rheumatoid arthritis using thermography and machine learning: a fast and automated technique. RMD Open. 2022 Jul;8(2):e002458. doi: 10.1136/rmdopen-2022-002458.
- Background: PubMed 39001284Morales-Ivorra I, Taverner D, Codina O, Castell S, Fischer P, Onken D, Martinez-Osuna P, Battioui C, Marin-Lopez MA. External Validation of the Machine Learning-Based Thermographic Indices for Rheumatoid Arthritis: A Prospective Longitudinal Study. Diagnostics (Basel). 2024 Jun 30;14(13):1394. doi: 10.3390/diagnostics14131394.
- Background: PubMed 39903294Pfeuffer N, Hartmann F, Grahammer M, Simon D, Schuster L, Kuhn S, Kronke G, Schett G, Knitza J, Kleyer A. Early detection of rheumatoid arthritis through patient empowerment by tailored digital monitoring and education: a feasibility study. Rheumatol Int. 2025 Feb 4;45(2):43. doi: 10.1007/s00296-025-05793-8.
- Background: PubMed 39874236van Mulligen E, Bour SS, Goossens LMA, de Jong PHP, Rutten-van Molken M, van der Helm-van Mil A. Is a 1-year course of methotrexate in patients with arthralgia at-risk for rheumatoid arthritis cost-effective? A cost-effectiveness analysis of the randomised, placebo-controlled TREAT EARLIER trial. Ann Rheum Dis. 2025 Jan;84(1):68-76. doi: 10.1136/ard-2024-226286. Epub 2025 Jan 2.
- Background: PubMed 36642438Barber CEH, Lacaille D, Croxford R, Barnabe C, Marshall DA, Abrahamowicz M, Xie H, Avina-Zubieta JA, Esdaile JM, Hazlewood GS, Faris P, Katz S, MacMullan P, Mosher D, Widdifield J. Investigating Associations Between Access to Rheumatology Care, Treatment, Continuous Care, and Healthcare Utilization and Costs Among Older Individuals With Rheumatoid Arthritis. J Rheumatol. 2023 May;50(5):617-624. doi: 10.3899/jrheum.220729. Epub 2023 Jan 15.
- Background: PubMed 35949225Hugle T, Caratsch L, Caorsi M, Maglione J, Dan D, Dumusc A, Blanchard M, Kalweit G, Kalweit M. Dorsal Finger Fold Recognition by Convolutional Neural Networks for the Detection and Monitoring of Joint Swelling in Patients with Rheumatoid Arthritis. Digit Biomark. 2022 Jun 8;6(2):31-35. doi: 10.1159/000525061. eCollection 2022 May-Aug.
- The funding for this trial comes from AutoPiX consortium. AutoPiX is a European project of the type 'Innovative Heath Initiative Joint Undertaking - JU-IHI' under the European framework programme HORIZON and funded by the European Commission (ref. 101194Link provided by the sponsor.
- Individual participant dataSharing planned: No
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Thomas hügle, Prof. principal investigator
Centre hospitalier universitaire vaudois (CHUV)
5 sites in 4 countries: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing DETECTRA in people with Rheumatoid Arthritis (RA, run by Centre Hospitalier Universitaire Vaudois at 5 sites in 4 countries.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 16 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 17 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 5 sites in Germany, Austria, Denmark, Switzerland. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Thomas Hügle, Prof. (+41795568068, thomas.hugle@chuv.ch), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Time-to-diagnosis (time frame: From study enrollement to confirmed clinical diagnosis). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07825233, which also lists 24 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 17 Sep 2026.