Myelodysplastic Syndromes Clinical Trial
— PREDICTOROfficial title:
Best PREDICTive FactOR of Overall Survival Among Geriatric Assessment Tools and Disease Related Factors in Elderly Patients With High Risk Myelodysplastic Syndromes.
NCT number | NCT02689622 |
Other study ID # | 14 7429 07 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | April 20, 2016 |
Est. completion date | January 2020 |
Verified date | July 2020 |
Source | University Hospital, Toulouse |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
No prospective study was conducted in elderly patients with cancer to assess the relative
value of disease-related and patient-related prognosis factors. Patient-related prognostic
factors have been highlighted in elderly patients with cancer resulting in the necessity of a
geriatric assessment. The impact on overall survival of all of these factors was recognized
in elderly people with cancer but remains unknown in High Risk Myelodysplastic Syndromes
(HR-MDS). Therefore this information could be crucial to better select geriatric assessment
domains relevant for the prediction and to recommend simplified tool after stratification of
geriatric assessment domains thanks to their predictive value.
The main hypothesis is that patient-related factors will have a better capacity to predict
survival and treatment tolerance than disease-related factors in HR-MDS aged 75 and over and
that the predictive value will be different among assessment tools which allows a selection
of reduced number of tools for clinical use.
To best knowledge estimation of predictive value of geriatric assessment tools remains
unknown and explains why no standardization of practice exists. In testing all tools at the
same cohort of patients allows to compare different tools and to define minimal and optimal
geriatric assessment for HR-MDS. To determine the best strategy of geriatric assessment will
allow in a second time to measure the impact of the use of this geriatric standardized
evaluation by comparing patients'care and prognosis according to the use or not by the
doctors of the new scores.
Research outcomes are various medical, economic and ethic. Medical because decision-making
will be improved with simplified geriatric assessment; economic because a better knowledge of
geriatric assessment will improve treatment toxicity prevention and decrease treatment costs.
Ethic will be associated with this project because a better knowledge of geriatric assessment
tools to predict survival and tolerance treatment could improve the choice of best supportive
care if prognosis markers are not favorable to active therapy. This project could induce
important modification of practice in this area to an improved personalized treatment and
simplification of geriatric assessment allowing a large diffusion in hospitals and clinics.
Status | Completed |
Enrollment | 157 |
Est. completion date | January 2020 |
Est. primary completion date | January 31, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 70 Years and older |
Eligibility |
inclusion criteria: - Diagnosis of HR-MDS inferior to 6 weeks, - No treatment received before inclusion, - IPSS superior to 1 (intermediate 2 and high risk IPSS categories), - Social system affiliation, - Informed consent signed. exclusion criteria: - Patient eligibility to stem cell transplantation, - IPSS inferior or egal 1 (low or intermediate 1 IPSS), - Concomitant investigational trial participation, which could interfere, - Patients under legal protection. |
Country | Name | City | State |
---|---|---|---|
France | Hôpital Sud | Amiens | |
France | Chu Angers | Angers | |
France | CH Annecy | Annecy | |
France | CH Henri Duffaut | Avignon | |
France | CH Blois | Blois | |
France | CH Boulogne sur mer | Boulogne Sur Mer | |
France | CH Sud Francillien | Corbeil Essonnes | |
France | CHU Henri Mondor | Creteil | |
France | CHU Albert Michallon | Grenoble | |
France | CH Versailles | Le Chesnay | |
France | CH du Mans | Le Mans | |
France | CH de Lens | Lens | |
France | Hôpital saint vincent de paul - Institut Catholique | Lille | |
France | CHU Limoges | Limoges | |
France | Ch Lyon Sud | Lyon | |
France | Institut Paoli Calmette | Marseille | |
France | CH de Meaux | Meaux | |
France | Chu Brabois | Nancy | |
France | Chu Hotel Dieu | Nantes | |
France | Hôpital de l'archet I | Nice | |
France | Hôpital COCHIN | Paris | |
France | Hôpital St Louis | Paris | |
France | CH Saint Jean | Perpignan | |
France | CHU Poitiers | Poitiers | |
France | CH René Dubos | Pontoise | |
France | Hôpital Pontchaillou | Rennes | |
France | Centre Henri Becquerel | Rouen | |
France | CH St Malo | Saint Malo | |
France | CHU Toulouse | Toulouse | |
France | Hôpital Bretonneau | Tours | |
Monaco | CH Princesse Grâce | Monaco |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Toulouse | National Cancer Institute, France |
France, Monaco,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | IPPS score | 1 year | ||
Secondary | percentage of patients who had adverse events grade 3 or higher or having a serious adverse event | 6 months | ||
Secondary | difference of geriatric assessment score between day 1 and 3 month | day 1 and 3 months |
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