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Article: A Dangerous Curve: Impact of the COVID-19 Pandemic on Brace Treatment in Adolescent Idiopathic Scoliosis.

Pereira Duarte, Matias / Joncas, Julie / Parent, Stefan / Duval, Mylène / Chémaly, Olivier / Brassard, Félix / Mac-Thiong, Jean-Marc / Barchi, Soraya / Labelle, Hubert

Global spine journal

2022 Volume 14, Issue 2, Page(s) 513–518

Abstract: Study design: Observational Cohort study.: Objectives: We aim to document the abandon and irregular compliance rate towards brace treatment during the COVID-19 pandemic and its impact on AIS progression.: Methods: We reviewed a database of AIS ... ...

Abstract	Study design: Observational Cohort study. Objectives: We aim to document the abandon and irregular compliance rate towards brace treatment during the COVID-19 pandemic and its impact on AIS progression. Methods: We reviewed a database of AIS patients recruited between March and September 2020. We included AIS patients under brace treatment according to SRS criteria. The patients were divided in 2 cohorts: those with self-reported Good-Compliance (GC) to treatment and those who had a Bad-Compliance (BC). Data analysis included biometric and radiographic data at first visit and last follow-up and percentage of progression. Unpaired student-t tests and Chi Results: 152 patients met inclusion criteria. 89 patients (age:12.1y.o.±1.4) reported good adherence to treatment, while 63 patients (age:12.7y.o.±1.8) were not compliant. Within the BC group, 18 patients reported irregular brace wear, while 45 had completely abandoned treatment (abandon rate of 29%). The GC cohort started treatment with a mean main thoracic (MT) curve of 26° and finished with 27°. The mean difference between measurements was +.65°±7.5; mean progression rate was - Conclusion: The abandon rate of brace treatment in AIS significantly increased during the first wave of COVID-19 pandemic. Patients who voluntarily discontinued treatment had significant increases in curve progression and surgical indication rates. Level of evidence: III.
Language	English
Publishing date	2022-07-11
Publishing country	England
Document type	Journal Article
ZDB-ID	2648287-3
ISSN	2192-5690 ; 2192-5682
ISSN (online)	2192-5690
ISSN	2192-5682
DOI	10.1177/21925682221113487
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Nightmare frequency, nightmare distress, and psychopathology in female victims of childhood maltreatment.

Duval, Mylène / McDuff, Pierre / Zadra, Antonio

The Journal of nervous and mental disease

2013 Volume 201, Issue 9, Page(s) 767–772

Abstract: This study investigated the relationships between a history of childhood maltreatment, the frequency of disturbing dreams, their associated distress, and the presence of psychopathology in 352 female undergraduate volunteers. Participants completed ... ...

Abstract	This study investigated the relationships between a history of childhood maltreatment, the frequency of disturbing dreams, their associated distress, and the presence of psychopathology in 352 female undergraduate volunteers. Participants completed questionnaires assessing dream recall, bad dream and nightmare frequency, nightmare distress, psychological well-being, and history of childhood trauma. Four groups were investigated based on the type and severity of childhood maltreatments experienced. Women reporting more severe forms of maltreatment reported higher frequencies of disturbing dreams, higher levels of nightmare distress, and greater psychopathology. Results showed that nightmare distress explains frequency of disturbed dreaming beyond the effect of psychopathology and childhood trauma. The results highlight the importance of assessing waking distress associated with disturbing dreams independently from their actual incidence.
MeSH term(s)	Adolescent ; Anxiety Disorders/diagnosis ; Anxiety Disorders/epidemiology ; Anxiety Disorders/psychology ; Child Abuse/diagnosis ; Child Abuse/psychology ; Child Abuse/statistics & numerical data ; Child Abuse, Sexual/diagnosis ; Child Abuse, Sexual/psychology ; Child Abuse, Sexual/statistics & numerical data ; Cross-Sectional Studies ; Depressive Disorder/diagnosis ; Depressive Disorder/epidemiology ; Depressive Disorder/psychology ; Dreams/psychology ; Female ; Humans ; Mental Recall ; Models, Psychological ; Psychopathology ; Statistics as Topic ; Surveys and Questionnaires ; Young Adult
Language	English
Publishing date	2013-09
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	3020-x
ISSN	1539-736X ; 0022-3018
ISSN (online)	1539-736X
ISSN	0022-3018
DOI	10.1097/NMD.0b013e3182a214a1
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Article ; Online: Analysis of a simulated microarray dataset

Genetics Selection Evolution, Vol 39, Iss 6, Pp 669-

Comparison of methods for data normalisation and detection of differential expression ( Open Access publication )

2007 Volume 683

Abstract: Abstract Microarrays allow researchers to measure the expression of thousands of genes in a single experiment. Before statistical comparisons can be made, the data must be assessed for quality and normalisation procedures must be applied, of which many ... ...

Abstract	Abstract Microarrays allow researchers to measure the expression of thousands of genes in a single experiment. Before statistical comparisons can be made, the data must be assessed for quality and normalisation procedures must be applied, of which many have been proposed. Methods of comparing the normalised data are also abundant, and no clear consensus has yet been reached. The purpose of this paper was to compare those methods used by the EADGENE network on a very noisy simulated data set. With the a priori knowledge of which genes are differentially expressed, it is possible to compare the success of each approach quantitatively. Use of an intensity-dependent normalisation procedure was common, as was correction for multiple testing. Most variety in performance resulted from differing approaches to data quality and the use of different statistical tests. Very few of the methods used any kind of background correction. A number of approaches achieved a success rate of 95% or above, with relatively small numbers of false positives and negatives. Applying stringent spot selection criteria and elimination of data did not improve the false positive rate and greatly increased the false negative rate. However, most approaches performed well, and it is encouraging that widely available techniques can achieve such good results on a very noisy data set.
Keywords	gene expression ; two colour microarray ; simulation ; statistical analysis ; Genetics ; QH426-470 ; Biology (General) ; QH301-705.5 ; Science ; Q ; DOAJ:Genetics ; DOAJ:Biology ; DOAJ:Biology and Life Sciences
Subject code	310
Language	English
Publishing date	2007-11-01T00:00:00Z
Publisher	BioMed Central
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Analysis of a simulated microarray dataset: comparison of methods for data normalisation and detection of differential expression (open access publication).

Genetics, selection, evolution : GSE

2007 Volume 39, Issue 6, Page(s) 669–683

Abstract: Microarrays allow researchers to measure the expression of thousands of genes in a single experiment. Before statistical comparisons can be made, the data must be assessed for quality and normalisation procedures must be applied, of which many have been ... ...

Abstract	Microarrays allow researchers to measure the expression of thousands of genes in a single experiment. Before statistical comparisons can be made, the data must be assessed for quality and normalisation procedures must be applied, of which many have been proposed. Methods of comparing the normalised data are also abundant, and no clear consensus has yet been reached. The purpose of this paper was to compare those methods used by the EADGENE network on a very noisy simulated data set. With the a priori knowledge of which genes are differentially expressed, it is possible to compare the success of each approach quantitatively. Use of an intensity-dependent normalisation procedure was common, as was correction for multiple testing. Most variety in performance resulted from differing approaches to data quality and the use of different statistical tests. Very few of the methods used any kind of background correction. A number of approaches achieved a success rate of 95% or above, with relatively small numbers of false positives and negatives. Applying stringent spot selection criteria and elimination of data did not improve the false positive rate and greatly increased the false negative rate. However, most approaches performed well, and it is encouraging that widely available techniques can achieve such good results on a very noisy data set.
MeSH term(s)	Animals ; Animals, Domestic/genetics ; Computer Simulation ; Data Interpretation, Statistical ; Databases, Genetic ; Europe ; Gene Expression Profiling/statistics & numerical data ; Oligonucleotide Array Sequence Analysis/statistics & numerical data ; Software
Language	English
Publishing date	2007-12-06
Publishing country	France
Document type	Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1005838-2
ISSN	0999-193X
ISSN	0999-193X
DOI	10.1186/1297-9686-39-6-669
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Analysis of the real EADGENE data set

Schuberth Hans-Joachim / van Schothorst Evert M / Lund Mogens / San Cristobal Magali / Robert-Granié Christèle / Pool Marco H / Petzl Wolfram / Nie Haisheng / Cao Kim-Anh / de Koning Dirk-Jan / Jiang Li / Jensen Kirsty / Hulsegge Ina / Jaffrézic Florence / Hornshøj Henrik / Hedegaard Jakob / Glass Liz / Duval Mylène / Delmas Céline /

Déjean Sébastien / Closset Rodrigue / Buitenhuis Bart / Bonnet Agnès / Sørensen Peter / Seyfert Hans-Martin / Tosser-Klopp Gwenola / Waddington David / Watson Michael / Yang Wei / Zerbe Holm

Genetics Selection Evolution, Vol 39, Iss 6, Pp 651-

Multivariate approaches and post analysis ( Open Access publication )

2007 Volume 668

Abstract: Abstract The aim of this paper was to describe, and when possible compare, the multivariate methods used by the participants in the EADGENE WP1.4 workshop. The first approach was for class discovery and class prediction using evidence from the data at ... ...

Abstract	Abstract The aim of this paper was to describe, and when possible compare, the multivariate methods used by the participants in the EADGENE WP1.4 workshop. The first approach was for class discovery and class prediction using evidence from the data at hand. Several teams used hierarchical clustering (HC) or principal component analysis (PCA) to identify groups of differentially expressed genes with a similar expression pattern over time points and infective agent ( E. coli or S. aureus ). The main result from these analyses was that HC and PCA were able to separate tissue samples taken at 24 h following E. coli infection from the other samples. The second approach identified groups of differentially co-expressed genes, by identifying clusters of genes highly correlated when animals were infected with E. coli but not correlated more than expected by chance when the infective pathogen was S. aureus . The third approach looked at differential expression of predefined gene sets. Gene sets were defined based on information retrieved from biological databases such as Gene Ontology. Based on these annotation sources the teams used either the GlobalTest or the Fisher exact test to identify differentially expressed gene sets. The main result from these analyses was that gene sets involved in immune defence responses were differentially expressed.
Keywords	bovine annotation ; bovine microarray ; gene set analysis ; mastitis ; multivariate approaches ; Genetics ; QH426-470 ; Biology (General) ; QH301-705.5 ; Science ; Q ; DOAJ:Genetics ; DOAJ:Biology ; DOAJ:Biology and Life Sciences
Subject code	570
Language	English
Publishing date	2007-11-01T00:00:00Z
Publisher	BioMed Central
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Analysis of the real EADGENE data set: multivariate approaches and post analysis (open access publication).

Sørensen, Peter / Bonnet, Agnès / Buitenhuis, Bart / Closset, Rodrigue / Déjean, Sébastien / Delmas, Céline / Duval, Mylène / Glass, Liz / Hedegaard, Jakob / Hornshøj, Henrik / Hulsegge, Ina / Jaffrézic, Florence / Jensen, Kirsty / Jiang, Li / de Koning, Dirk-Jan / Lê Cao, Kim-Anh / Nie, Haisheng / Petzl, Wolfram / Pool, Marco H /

Robert-Granié, Christèle / San Cristobal, Magali / Lund, Mogens Sandø / van Schothorst, Evert M / Schuberth, Hans-Joachim / Seyfert, Hans-Martin / Tosser-Klopp, Gwenola / Waddington, David / Watson, Michael / Yang, Wei / Zerbe, Holm

Genetics, selection, evolution : GSE

2007 Volume 39, Issue 6, Page(s) 651–668

Abstract: The aim of this paper was to describe, and when possible compare, the multivariate methods used by the participants in the EADGENE WP1.4 workshop. The first approach was for class discovery and class prediction using evidence from the data at hand. ... ...

Abstract	The aim of this paper was to describe, and when possible compare, the multivariate methods used by the participants in the EADGENE WP1.4 workshop. The first approach was for class discovery and class prediction using evidence from the data at hand. Several teams used hierarchical clustering (HC) or principal component analysis (PCA) to identify groups of differentially expressed genes with a similar expression pattern over time points and infective agent (E. coli or S. aureus). The main result from these analyses was that HC and PCA were able to separate tissue samples taken at 24 h following E. coli infection from the other samples. The second approach identified groups of differentially co-expressed genes, by identifying clusters of genes highly correlated when animals were infected with E. coli but not correlated more than expected by chance when the infective pathogen was S. aureus. The third approach looked at differential expression of predefined gene sets. Gene sets were defined based on information retrieved from biological databases such as Gene Ontology. Based on these annotation sources the teams used either the GlobalTest or the Fisher exact test to identify differentially expressed gene sets. The main result from these analyses was that gene sets involved in immune defence responses were differentially expressed.
MeSH term(s)	Animals ; Animals, Domestic/genetics ; Cattle/genetics ; Data Interpretation, Statistical ; Databases, Genetic ; Escherichia coli Infections/genetics ; Escherichia coli Infections/veterinary ; Europe ; Female ; Gene Expression Profiling/statistics & numerical data ; Host-Pathogen Interactions/genetics ; Mastitis, Bovine/genetics ; Multivariate Analysis ; Oligonucleotide Array Sequence Analysis/statistics & numerical data ; Staphylococcal Infections/genetics ; Staphylococcal Infections/veterinary
Language	English
Publishing date	2007-12-06
Publishing country	France
Document type	Comparative Study ; Congress ; Research Support, Non-U.S. Gov't
ZDB-ID	1005838-2
ISSN	0999-193X
ISSN	0999-193X
DOI	10.1186/1297-9686-39-6-651
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Bonn / Germany

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Article ; Online: Analysis of the real EADGENE data set

Sørensen Peter / Schuberth Hans-Joachim / van Schothorst Evert M / San Cristobal Magali / Robert-Granié Christèle / Pool Marco H / Petzl Wolfram / Nie Haisheng / Marot Guillemette / Malinverni Roberto / Lund Mogens / Cao Kim-Anh / Lavrič Miha / Jiang Li / Jensen Kirsty / Janss Luc / Hulsegge Ina / Hornshøj Henrik / Hedegaard Jakob /

Foulley Jean-Louis / Duval Mylène / Dovč Peter / Detilleux Johanne C / Delmas Céline / Déjean Sébastien / Closset Rodrigue / Buitenhuis Bart / Bonnet Agnès / Boettcher Paul J / de Koning Dirk-Jan / Jaffrézic Florence / Stella Alessandra / Tosser-Klopp Gwenola / Waddington David / Watson Michael / Yang Wei / Zerbe Holm / Seyfert Hans-Martin

Genetics Selection Evolution, Vol 39, Iss 6, Pp 633-

Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes ( Open Access publication )

2007 Volume 650

Abstract: Abstract A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for data ...

Abstract	Abstract A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for data quality control, normalisation and statistical methods for the detection of differentially expressed genes in order to provide some more general data analysis guidelines. All the workshop participants were given a real data set obtained in an EADGENE funded microarray study looking at the gene expression changes following artificial infection with two different mastitis causing bacteria: Escherichia coli and Staphylococcus aureus . It was reassuring to see that most of the teams found the same main biological results. In fact, most of the differentially expressed genes were found for infection by E. coli between uninfected and 24 h challenged udder quarters. Very little transcriptional variation was observed for the bacteria S. aureus . Lists of differentially expressed genes found by the different research teams were, however, quite dependent on the method used, especially concerning the data quality control step. These analyses also emphasised a biological problem of cross-talk between infected and uninfected quarters which will have to be dealt with for further microarray studies.
Keywords	quality control ; differentially expressed genes ; mastitis resistance ; microarray data ; normalisation ; Genetics ; QH426-470 ; Biology (General) ; QH301-705.5 ; Science ; Q ; DOAJ:Genetics ; DOAJ:Biology ; DOAJ:Biology and Life Sciences
Subject code	310
Language	English
Publishing date	2007-11-01T00:00:00Z
Publisher	BioMed Central
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

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Article: Analysis of the real EADGENE data set: comparison of methods and guidelines for data normalisation and selection of differentially expressed genes (open access publication).

Jaffrézic, Florence / de Koning, Dirk-Jan / Boettcher, Paul J / Bonnet, Agnès / Buitenhuis, Bart / Closset, Rodrigue / Déjean, Sébastien / Delmas, Céline / Detilleux, Johanne C / Dovc, Peter / Duval, Mylène / Foulley, Jean-Louis / Hedegaard, Jakob / Hornshøj, Henrik / Hulsegge, Ina / Janss, Luc / Jensen, Kirsty / Jiang, Li / Lavric, Miha /

Lê Cao, Kim-Anh / Lund, Mogens Sandø / Malinverni, Roberto / Marot, Guillemette / Nie, Haisheng / Petzl, Wolfram / Pool, Marco H / Robert-Granié, Christèle / San Cristobal, Magali / van Schothorst, Evert M / Schuberth, Hans-Joachim / Sørensen, Peter / Stella, Alessandra / Tosser-Klopp, Gwenola / Waddington, David / Watson, Michael / Yang, Wei / Zerbe, Holm / Seyfert, Hans-Martin

Genetics, selection, evolution : GSE

2007 Volume 39, Issue 6, Page(s) 633–650

Abstract: A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for data quality ... ...

Abstract	A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for data quality control, normalisation and statistical methods for the detection of differentially expressed genes in order to provide some more general data analysis guidelines. All the workshop participants were given a real data set obtained in an EADGENE funded microarray study looking at the gene expression changes following artificial infection with two different mastitis causing bacteria: Escherichia coli and Staphylococcus aureus. It was reassuring to see that most of the teams found the same main biological results. In fact, most of the differentially expressed genes were found for infection by E. coli between uninfected and 24 h challenged udder quarters. Very little transcriptional variation was observed for the bacteria S. aureus. Lists of differentially expressed genes found by the different research teams were, however, quite dependent on the method used, especially concerning the data quality control step. These analyses also emphasised a biological problem of cross-talk between infected and uninfected quarters which will have to be dealt with for further microarray studies.
MeSH term(s)	Analysis of Variance ; Animals ; Animals, Domestic/genetics ; Bias ; Cattle/genetics ; Data Interpretation, Statistical ; Databases, Genetic ; Escherichia coli Infections/genetics ; Escherichia coli Infections/veterinary ; Europe ; Female ; Gene Expression Profiling/standards ; Gene Expression Profiling/statistics & numerical data ; Guidelines as Topic ; Mastitis, Bovine/genetics ; Oligonucleotide Array Sequence Analysis/standards ; Oligonucleotide Array Sequence Analysis/statistics & numerical data ; Quality Control ; Software ; Staphylococcal Infections/genetics ; Staphylococcal Infections/veterinary
Language	English
Publishing date	2007-12-06
Publishing country	France
Document type	Comparative Study ; Congress ; Research Support, Non-U.S. Gov't
ZDB-ID	1005838-2
ISSN	0999-193X
ISSN	0999-193X
DOI	10.1186/1297-9686-39-6-633
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Analysis of a simulated microarray dataset : Comparison of methods for data normalisation and detection of differential expression

Genetics Selection Evolution 6 (39), 669-683. (2007)

Abstract	Microarrays allow researchers to measure the expression of thousands of genes in a single experiment. Before statistical comparisons can be made, the data must be assessed for quality and normalisation procedures must be applied, of which many have been proposed.Methods of comparing the normalised data are also abundant, and no clear consensus has yetbeen reached. The purpose of this paper was to compare those methods used by the EADGENE network on a very noisy simulated data set. With the a priori knowledge of which genes are differentially expressed, it is possible to compare the success of each approach quantitatively. Use of an intensity-dependent normalisation procedure was common, as was correction for multiple testing. Most variety in performance resulted from differing approaches to data quality and the use of different statistical tests. Very few of the methods used any kind of background correction. A number of approaches achieved a success rate of 95% or above, with relatively small numbers of false positives and negatives. Applying stringent spot selection criteria and elimination of data did not improve the false positive rate and greatly increased the false negative rate. However, most approaches performed well, and it is encouraging that widely available techniques can achieve such good results on a very noisy data set.
Language	English
Document type	Article
Database	AGRIS - International Information System for the Agricultural Sciences and Technology

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Article: Analysis of a simulated microarray dataset : Comparison of methods for data normalisation and detection of differential expression

Genetics Selection Evolution 6 (39), 669-683. (2007)

Abstract	Microarrays allow researchers to measure the expression of thousands of genes in a single experiment. Before statistical comparisons can be made, the data must be assessed for quality and normalisation procedures must be applied, of which many have been proposed.Methods of comparing the normalised data are also abundant, and no clear consensus has yetbeen reached. The purpose of this paper was to compare those methods used by the EADGENE network on a very noisy simulated data set. With the a priori knowledge of which genes are differentially expressed, it is possible to compare the success of each approach quantitatively. Use of an intensity-dependent normalisation procedure was common, as was correction for multiple testing. Most variety in performance resulted from differing approaches to data quality and the use of different statistical tests. Very few of the methods used any kind of background correction. A number of approaches achieved a success rate of 95% or above, with relatively small numbers of false positives and negatives. Applying stringent spot selection criteria and elimination of data did not improve the false positive rate and greatly increased the false negative rate. However, most approaches performed well, and it is encouraging that widely available techniques can achieve such good results on a very noisy data set.
Language	English
Document type	Article
Database	AGRIS - International Information System for the Agricultural Sciences and Technology

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