Jan Kehrmann Olivier Dauwalder, Stéphane Corvec
Multicentre Evaluation of Cepheid Xpert® Research-Use-Only Panel for Molecular Rapid Detection of Gastrointestinal Pathogens Article de journal
Dans: Microorganisms, vol. 14, ISS. 9, non. 2011, 2026, ISSN: 2076-2607.
Résumé | Liens | BibTeX | Étiquettes: biostatistics
@article{nokey,
title = {Multicentre Evaluation of Cepheid Xpert® Research-Use-Only Panel for Molecular Rapid Detection of Gastrointestinal Pathogens},
author = {Olivier Dauwalder, Jan Kehrmann, Stéphane Corvec, Maroussia Roelens, Tiphaine Roussel-Gaillard, Edoardo Bixio, Jan Buer, Elisa Baillemont, Martin Prodel, Valeria Cento},
url = {https://www.mdpi.com/2076-2607/14/9/2011},
doi = {10.3390/microorganisms14092011},
issn = {2076-2607},
year = {2026},
date = {2026-09-10},
journal = {Microorganisms},
volume = {14},
number = {2011},
issue = {9},
abstract = {Rapid and accurate identification of enteric pathogens is essential for the management of acute infectious diarrhoeal diseases. Multiplex PCR panels have emerged as first-line screening tools to conventional stool culture by providing broad pathogen coverage and shorter turnaround times. This study evaluated the diagnostic performance of the Cepheid Xpert gastrointestinal (GI) research-use-only (RUO) panel in routine clinical practice across multiple European centres. A multicentre study was conducted in four hospitals across France, Germany and Italy. Stool specimens collected as part of routine care were tested using local standard-of-care (SoC) methods, including conventional stool culture, BDMax® Enteric Panels, or BioFire FilmArray® GI Panel, and subsequently analysed using the Cepheid Xpert GI RUO panel. A total of 11 bacterial, viral and parasitic enteropathogens were targeted. Discordant results underwent additional testing, and a consensus result based on a two-out-of-three agreement rule was used as the reference standard. Diagnostic performance metrics, agreement with SoC methods, microbiological findings and turnaround times were assessed. Of 508 samples, 115 (22.6%) were identified as positive for at least one pathogen according to the consensus result, including 12 samples with co-detection of more than one pathogen (10.4% of positive samples), resulting in a total of 128 pathogens detected. The most frequently detected pathogens were Campylobacter spp. (37 specimens), Norovirus (26 specimens), and Salmonella spp. (25 specimens). Compared with the consensus reference standard, Xpert achieved an overall sensitivity of 98% (95% CI: 94–100%), specificity of 100% (95% CI: 100–100%), positive predictive value of 95% (95% CI: 90–98%), and negative predictive value of 100% (95% CI: 100–100%). Sensitivity was ≥95% and specificity ≥99% for all evaluable targets. Agreement with routine diagnostic methods was high, with overall positive and negative percent agreements exceeding 90% and a Cohen's kappa coefficient of 0.91. Median analytical turnaround time was 1 h 18 min for Xpert, compared with 3 h for BDMax, 1 h 15 min for BioFire and 48 h for conventional stool culture. The Cepheid Xpert GI (RUO) panel provided highly accurate detection of enteric pathogens across heterogeneous European diagnostic settings and reduced turnaround time by more than 95% compared with conventional stool culture. A future IVD version of this test could provide rapid and accurate detection of enteric pathogens for potential routine management of patients with suspected acute infectious gastroenteritis.},
keywords = {biostatistics},
pubstate = {published},
tppubtype = {article}
}
Perrot, Aurore; Raguideau, Fanny; Denis, Helene; Prodel, Martin; Javelot, Matthieu; Pierres, Marie; Touzeau, Cyrille
Survival, Years of Life Lost and Attrition Rates in Multiple Myeloma Patients in France Article de journal
Dans: Clinical Lymphoma Myeloma and Leukemia, 2025, ISSN: 2152-2650.
Résumé | Liens | BibTeX | Étiquettes: biostatistics, pathways
@article{PERROT2025,
title = {Survival, Years of Life Lost and Attrition Rates in Multiple Myeloma Patients in France},
author = {Aurore Perrot and Fanny Raguideau and Helene Denis and Martin Prodel and Matthieu Javelot and Marie Pierres and Cyrille Touzeau},
url = {https://www.sciencedirect.com/science/article/pii/S2152265025000801},
doi = {https://doi.org/10.1016/j.clml.2025.03.004},
issn = {2152-2650},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
journal = {Clinical Lymphoma Myeloma and Leukemia},
abstract = {Background
In a context of strong evolution of multiple myeloma (MM) treatment paradigm, real-world data allow a better understandingthe patients' medical needs.
Methods
The present analyses from the MYLORD study were designed to provide recent data on MM patients: characteristics, overall survival (OS), years of life lost (YLL) and attrition rates, using the French National Health Insurance Database (SNDS). It is based on a cohort of 33,032 MM patients who initiated a frontline therapy from 2014 to 2021 in France and who were followed until 2021.
Results
The 5-year OS rate is estimated at 51.9% (95% CI: 51.2–52.6). This rate is 78.3% (95% CI: 77.1–79.5) for patients with frontline autologous stem cell transplant (L1T) and 43.6% (95% CI: 42.8–44.4) for those without transplant (L1NT). The excess of mortality in MM patients is revealed by 12.3 YLL versus the matched general population and is higher in L1T patients than those L1NT (17 vs. 11 years). The attrition rate is important in MM patients with 38% of patients who did not benefit from at least 2 lines of treatment and is higher in L1NT patients than those in L1T (41% vs. 29%). Also, the majority of L1NT patients did not receive a L2 because of death, whereas it is because of stay in line status for L1T patients.
Conclusion
These results emphasize the urgency to treat MM patients with the best and tailored treatment strategy available, for all MM patients beneficiating or not from a transplant in frontline therapy. Further studies will be needed to assess the impact of new therapeutic options in real life.},
keywords = {biostatistics, pathways},
pubstate = {published},
tppubtype = {article}
}
In a context of strong evolution of multiple myeloma (MM) treatment paradigm, real-world data allow a better understandingthe patients' medical needs.
Methods
The present analyses from the MYLORD study were designed to provide recent data on MM patients: characteristics, overall survival (OS), years of life lost (YLL) and attrition rates, using the French National Health Insurance Database (SNDS). It is based on a cohort of 33,032 MM patients who initiated a frontline therapy from 2014 to 2021 in France and who were followed until 2021.
Results
The 5-year OS rate is estimated at 51.9% (95% CI: 51.2–52.6). This rate is 78.3% (95% CI: 77.1–79.5) for patients with frontline autologous stem cell transplant (L1T) and 43.6% (95% CI: 42.8–44.4) for those without transplant (L1NT). The excess of mortality in MM patients is revealed by 12.3 YLL versus the matched general population and is higher in L1T patients than those L1NT (17 vs. 11 years). The attrition rate is important in MM patients with 38% of patients who did not benefit from at least 2 lines of treatment and is higher in L1NT patients than those in L1T (41% vs. 29%). Also, the majority of L1NT patients did not receive a L2 because of death, whereas it is because of stay in line status for L1T patients.
Conclusion
These results emphasize the urgency to treat MM patients with the best and tailored treatment strategy available, for all MM patients beneficiating or not from a transplant in frontline therapy. Further studies will be needed to assess the impact of new therapeutic options in real life.
Denis, Hélène; Lemeille, Pauline; Prodel, Martin; Herquelot, Eleonore
Ignoring competing event in survival analyzes: The amplitude of the bias in Kaplan-Meier estimates assessed through simulations Proceedings Article
Dans: PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, p. 449–450, WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA 2022.
BibTeX | Étiquettes: biostatistics
@inproceedings{denis2022ignoring,
title = {Ignoring competing event in survival analyzes: The amplitude of the bias in Kaplan-Meier estimates assessed through simulations},
author = {Hélène Denis and Pauline Lemeille and Martin Prodel and Eleonore Herquelot},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {PHARMACOEPIDEMIOLOGY AND DRUG SAFETY},
volume = {31},
pages = {449–450},
organization = {WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA},
keywords = {biostatistics},
pubstate = {published},
tppubtype = {inproceedings}
}
Perrot, Aurore; Pierres, Marie; Javelot, Matthieu; Guilmet, Caroline; Prodel, Martin; Denis, Hélène; Lamarsalle, Ludovic; Laurent, Marie; Borget, Isabelle; Touzeau, Cyrille
Taux de passage entre les lignes de traitement et prise en charge des patients atteints d'un myélome multiple et ayant initié une première ligne de traitement en 2014 ou 2015. MYLORD, une étude en vie réelle à partir des données du SNDS Actes
2022.
BibTeX | Étiquettes: biostatistics, machine learning
@proceedings{mylord_taux,
title = {Taux de passage entre les lignes de traitement et prise en charge des patients atteints d'un myélome multiple et ayant initié une première ligne de traitement en 2014 ou 2015. MYLORD, une étude en vie réelle à partir des données du SNDS},
author = {Aurore Perrot and Marie Pierres and Matthieu Javelot and Caroline Guilmet and Martin Prodel and Hélène Denis and Ludovic Lamarsalle and Marie Laurent and Isabelle Borget and Cyrille Touzeau},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
keywords = {biostatistics, machine learning},
pubstate = {published},
tppubtype = {proceedings}
}
Touzeau, Cyrille; Augusto, Vincent; Pierres, Marie; Javelot, Matthieu; Guilmet, Caroline; Prodel, Martin; Lamarsalle, Ludovic; Laurent, Marie; Denis, Helene; Borget, Isabelle; others,
Evolution of Dara-based regimen use along treatment lines from 2016 to 2019: a real-life study based on the French national claim database Présentation
01.01.2021.
BibTeX | Étiquettes: biostatistics, machine learning
@misc{touzeau2021p,
title = {Evolution of Dara-based regimen use along treatment lines from 2016 to 2019: a real-life study based on the French national claim database},
author = {Cyrille Touzeau and Vincent Augusto and Marie Pierres and Matthieu Javelot and Caroline Guilmet and Martin Prodel and Ludovic Lamarsalle and Marie Laurent and Helene Denis and Isabelle Borget and others},
editor = {Clinical Lymphoma Myeloma and Leukemia},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Clinical Lymphoma Myeloma and Leukemia},
volume = {21},
pages = {S161–S162},
publisher = {Elsevier},
keywords = {biostatistics, machine learning},
pubstate = {published},
tppubtype = {presentation}
}
Perrot, Aurore; Augusto, Vincent; Pierres, Marie; Javelot, Matthieu; Guilmet, Caroline; Prodel, Martin; Lamarsalle, Ludovic; Laurent, Marie; Borget, Isabelle; Touzeau, Cyrille
Treatment pathways for patients with multiple myeloma: a real-life study based on the French National Claim database from 2014 to 2019 Présentation
01.01.2021.
BibTeX | Étiquettes: biostatistics, machine learning
@misc{perrot2021oab,
title = {Treatment pathways for patients with multiple myeloma: a real-life study based on the French National Claim database from 2014 to 2019},
author = {Aurore Perrot and Vincent Augusto and Marie Pierres and Matthieu Javelot and Caroline Guilmet and Martin Prodel and Ludovic Lamarsalle and Marie Laurent and Isabelle Borget and Cyrille Touzeau},
editor = {Clinical Lymphoma Myeloma and Leukemia},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Clinical Lymphoma Myeloma and Leukemia},
volume = {21},
pages = {S10–S11},
publisher = {Elsevier},
keywords = {biostatistics, machine learning},
pubstate = {published},
tppubtype = {presentation}
}
Laurent, Marie; Leotoing, Lucie; Prodel, Martin
Analyses des séquences de traitements à partir du SNIIRAM: cas d’étude des incidents 2013 du VIH Article de journal
Dans: Revue d'Épidémiologie et de Santé Publique, vol. 67, p. S177–S178, 2019.
BibTeX | Étiquettes: biostatistics, machine learning
@article{laurent2019analyses,
title = {Analyses des séquences de traitements à partir du SNIIRAM: cas d’étude des incidents 2013 du VIH},
author = {Marie Laurent and Lucie Leotoing and Martin Prodel},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
journal = {Revue d'Épidémiologie et de Santé Publique},
volume = {67},
pages = {S177–S178},
publisher = {Elsevier},
keywords = {biostatistics, machine learning},
pubstate = {published},
tppubtype = {article}
}
Lawton, Jean; Achit, Hamza; Pouillon, Lieven; Boschetti, Emmanuelle; Demore, Béatrice; Matton, Thierry; Tournier, Charlène; Prodel, Martin; Peyrin-Biroulet, Laurent; Guillemin, Francis
Cost-of-illness of inflammatory bowel disease patients treated with anti-tumour necrosis factor: A French large single-centre experience Article de journal
Dans: United European Gastroenterology Journal, vol. 7, non. 7, p. 908–913, 2019.
BibTeX | Étiquettes: biostatistics
@article{lawton2019cost,
title = {Cost-of-illness of inflammatory bowel disease patients treated with anti-tumour necrosis factor: A French large single-centre experience},
author = {Jean Lawton and Hamza Achit and Lieven Pouillon and Emmanuelle Boschetti and Béatrice Demore and Thierry Matton and Charlène Tournier and Martin Prodel and Laurent Peyrin-Biroulet and Francis Guillemin},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
journal = {United European Gastroenterology Journal},
volume = {7},
number = {7},
pages = {908–913},
publisher = {SAGE Publications Sage UK: London, England},
keywords = {biostatistics},
pubstate = {published},
tppubtype = {article}
}
Genreau, Marie; Prodel, Martin; Léotoing, Lucie; Finkielsztejn, Laurent; Nachbaur, Gaëlle; Roustand, Laetitia; Ghosn, Jade; Bonnet, Fabrice
Global annual costs of people living with HIV in France in 2013 from a national insurance claims database (Sniiram) Article de journal
Dans: Value in Health, vol. 22, p. S645–S646, 2019.
BibTeX | Étiquettes: biostatistics
@article{genreau2019pin35,
title = {Global annual costs of people living with HIV in France in 2013 from a national insurance claims database (Sniiram)},
author = {Marie Genreau and Martin Prodel and Lucie Léotoing and Laurent Finkielsztejn and Gaëlle Nachbaur and Laetitia Roustand and Jade Ghosn and Fabrice Bonnet},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
journal = {Value in Health},
volume = {22},
pages = {S645–S646},
publisher = {Elsevier},
keywords = {biostatistics},
pubstate = {published},
tppubtype = {article}
}
Prodel, Martin
Process discovery, analysis and simulation of clinical pathways using health-care data Thèse
Université de Lyon, 2017.
BibTeX | Étiquettes: biostatistics, machine learning, pathways, process mining, simulation
@phdthesis{prodel2017process,
title = {Process discovery, analysis and simulation of clinical pathways using health-care data},
author = {Martin Prodel},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
school = {Université de Lyon},
keywords = {biostatistics, machine learning, pathways, process mining, simulation},
pubstate = {published},
tppubtype = {phdthesis}
}
Bourgoin-Heck, Mélisande; Specq, Marie-Laure; Samson, Nathalie; Nadeau, Charlène; Prodel, Martin; Corbin, François; Praud, Jean-Paul
Effects of moderate hyperbilirubinemia on nutritive swallowing and swallowing-breathing coordination in preterm lambs Article de journal
Dans: Neonatology, vol. 108, non. 1, p. 42–48, 2015.
BibTeX | Étiquettes: biostatistics
@article{bourgoin2015effects,
title = {Effects of moderate hyperbilirubinemia on nutritive swallowing and swallowing-breathing coordination in preterm lambs},
author = {Mélisande Bourgoin-Heck and Marie-Laure Specq and Nathalie Samson and Charlène Nadeau and Martin Prodel and François Corbin and Jean-Paul Praud},
year = {2015},
date = {2015-01-01},
urldate = {2015-01-01},
journal = {Neonatology},
volume = {108},
number = {1},
pages = {42–48},
publisher = {S. Karger AG},
keywords = {biostatistics},
pubstate = {published},
tppubtype = {article}
}
Bourgoin-Heck, Mélisande; Specq, ML; Samson, N; Prodel, Martin; Nadeau, C; Corbin, François; Praud, JP
Effet d’une hyperbilirubinémie sur la déglutition et la coordination déglutition-respiration chez l’agneau prématuré Article de journal
Dans: Archives de Pédiatrie, vol. 21, non. 5, p. 645, 2014.
BibTeX | Étiquettes: biostatistics
@article{bourgoin2014sfp,
title = {Effet d’une hyperbilirubinémie sur la déglutition et la coordination déglutition-respiration chez l’agneau prématuré},
author = {Mélisande Bourgoin-Heck and ML Specq and N Samson and Martin Prodel and C Nadeau and François Corbin and JP Praud},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
journal = {Archives de Pédiatrie},
volume = {21},
number = {5},
pages = {645},
publisher = {Elsevier},
keywords = {biostatistics},
pubstate = {published},
tppubtype = {article}
}
Specq, Marie-Laure; Bourgoin-Heck, Mélisande; Samson, Nathalie; Prodel, Martin; Corbin, François; Nadeau, Charlène; Praud, Jean-Paul
Effect Of Moderate Hyperbilirubinemia On Cardiorespiratory Control In The Preterm Lamb Book Section
Dans: C110. PEDIATRIC SLEEP DISORDERED BREATHING AND VENTILATORY CONTROL, p. A5203–A5203, American Thoracic Society, 2013.
BibTeX | Étiquettes: biostatistics
@incollection{specq2013effect,
title = {Effect Of Moderate Hyperbilirubinemia On Cardiorespiratory Control In The Preterm Lamb},
author = {Marie-Laure Specq and Mélisande Bourgoin-Heck and Nathalie Samson and Martin Prodel and François Corbin and Charlène Nadeau and Jean-Paul Praud},
year = {2013},
date = {2013-01-01},
urldate = {2013-01-01},
booktitle = {C110. PEDIATRIC SLEEP DISORDERED BREATHING AND VENTILATORY CONTROL},
pages = {A5203–A5203},
publisher = {American Thoracic Society},
keywords = {biostatistics},
pubstate = {published},
tppubtype = {incollection}
}

