Special article
Evaluation and closure of the series on methodology in Intensive Care Medicine
Evaluación y cierre de la serie sobre metodología en Medicina Intensiva
J.L. García Garmendia
Unidad de Cuidados Intensivos, Servicio de Cuidados Críticos y Urgencias, Hospital San Juan de Dios del Aljarafe, Bormujos, Sevilla, Spain
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García Garmendia" "autores" => array:1 [ 0 => array:3 [ "nombre" => "J.L." "apellidos" => "García Garmendia" "email" => array:1 [ 0 => "joseluis.garciagarmendia@sjd.es" ] ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Unidad de Cuidados Intensivos, Servicio de Cuidados Críticos y Urgencias, Hospital San Juan de Dios del Aljarafe, Bormujos, Sevilla, Spain" "identificador" => "aff0005" ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Evaluación y cierre de la serie sobre metodología en Medicina Intensiva" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 934 "Ancho" => 1583 "Tamanyo" => 163761 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Evolution of the percentage of original articles published in <span class="elsevierStyleItalic">Medicina Intensiva</span> including more than 3 statistical tests in their methodology since 2016.</p> <p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Chi-square test for linear trend, <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.042.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">With this special paper we put an end to the series on methodology in Intensive Care Medicine that we initiated back in April 2018<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">1</span></a> and that included 8 papers that we hope stimulated your interest on statistical analysis when preparing articles to be published in our scientific journal.</p><p id="par0010" class="elsevierStylePara elsevierViewall">The series included 4 papers on general issues. The first one was about the importance of methodology in the clinical research of the critically ill patient,<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">2</span></a> including a description of the difficulties that are inherent to this type of patients when it comes to clinical research, and the disappointments that follow therapeutic failures – sometimes triggered by implementing wrong designs. Another paper exposed some of the key elements when it comes to interpreting statistical results,<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">3</span></a> such as facilitating the understanding of common concepts in methodology that are not always fully understood by healthcare providers or researchers. The third review discussed ethics in clinical research,<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">4</span></a> and clarified fundamental aspects of bioethical issues that need to be taken into account when conducting studies, which, by the way, today is a prerequisite of any clinical research. The fourth paper discussed common errors in the use of statistics<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">5</span></a> warning readers on the slips or even frauds that are sometimes found in researches published and that may affect the way these clinical researches are implemented in the routine clinical practice. All papers discussed all these issues from the perspective of critically ill patients, their peculiarities and determinant factors.</p><p id="par0015" class="elsevierStylePara elsevierViewall">On the other hand, we also discussed new statistical methodology tools. A review of new techniques in the management of causality in observational studies<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">6</span></a> presented us with different ways of analysis beyond conventional multivariate logistic regression analyses. Another review on alternative statistical methods<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">7</span></a> showed us options different from the usual techniques to be able to explore the truth behind the data. We also presented an introduction to this study by using big data,<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">8</span></a> the tool that will probably change our way to analyze health biological reality forever and, particularly, the way we analyze the critically ill patients’ biological reality, in whom the abundance and complexity of data open a huge field for the implementation of these techniques. Lastly, we included a great article on meta-analysis,<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">9</span></a> one of the main sources of evidence-based knowledge not only for our clinical practice but also for the detection of uncertainty to guide future researches.</p><p id="par0020" class="elsevierStylePara elsevierViewall">In the article that introduced the entire series, we analyzed the density of using statistical tools in the original articles we publish regularly on <span class="elsevierStyleItalic">Medicina Intensiva</span>, and compared it to that of the other two major journals in intensive care, <span class="elsevierStyleItalic">Intensive Care Medicine</span> and <span class="elsevierStyleItalic">Critical Care Medicine.</span><a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">1</span></a> We saw significant differences in the presence of multicenter studies, in the amount of tests used by the original paper and, especially, in the use of analysis of greater statistical complexity. Probably, higher quality during the research process facilitates the incorporation of more complex tests and even a larger amount tests which, in turn, facilitates publishing in higher impact journals.</p><p id="par0025" class="elsevierStylePara elsevierViewall">In order to improve all these indicators, the editorial committee intends to follow two parallel lines.<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">10</span></a> On the one hand, the intend to increase our impact factor by encouraging citing our journal by improving its accessibility and circulation (changes in the web, app), by having excellent researchers publishing with us, by facilitating publication in English, and by promoting the responsibility of Spanish-speaking intensivists in the publication of our journal. On the other hand, we understand that the editorial process needs to be demanding and constructive in order to improve the scientific quality of studies. The role of the reviewing team is essential here, will bring quality and complexity to the statistical analyses during the entire peer-review process, and give more consistency and credibility to the studies that we publish. We strongly believe this will bring more chances of external citations to our journal.</p><p id="par0030" class="elsevierStylePara elsevierViewall">In the follow-up we conducted on the methodological quality of the original papers published in our journal we can see a certain evolution during the last few years. <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows a new analysis that draws a comparison between the originals published in 2016 and 2017 and the originals published back in 2018 plus those published online (as of November 2018). We have to say that we basically publish observational studies, and have a low rate of multicenter studies, and a scarce estimate of sample sizes (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). We should also mention here that in this short period of time we saw a clear increase in the amount of unusual tests that were incorporated into our papers to the point that they appeared in almost 20% of all original papers. Also, during the last few years we have seen a significant increase in the percentage of studies that incorporate more than 3 statistical analyses (chi-square test for linear trend; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.042) (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). On the other hand, the number of systematic reviews and meta-analyses has gone up from 0 to 5 during the second period examined, and we have published two original papers based on big data. All this suggests a greater and better methodological elaboration in the original papers published. We understand that a greater statistical complexity does not guarantee the interest of readers on clinical research, but it is a prerequisite for its development as other scientific journals have proven in the past.<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">11</span></a></p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0035" class="elsevierStylePara elsevierViewall">In sum, we hope that this series on methodology has pleased all our readers. We hope it was useful to understand the different aspects of statistical design and interpretation and to present complex issues that may be difficult but essential for the future development of clinical research. And if we did not deliver, at least we take pride in the fact that it stimulated researchers to incorporate new tools to the arsenal of petitions to statisticians. If this helps increase the quality and the possibility of citations of the studies already published, then we can happily say mission accomplished.</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conflicts of interest</span><p id="par0040" class="elsevierStylePara elsevierViewall">The author declares no conflicts of interest whatsoever.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:6 [ 0 => array:3 [ "identificador" => "xres1161056" "titulo" => "Abstract" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abst0005" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1087401" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1161055" "titulo" => "Resumen" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abst0010" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1087402" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Conflicts of interest" ] 5 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2018-11-18" "fechaAceptado" => "2018-11-24" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1087401" "palabras" => array:5 [ 0 => "Critically ill patient" 1 => "Methodology" 2 => "Statistical analysis" 3 => "Statistical interpretation" 4 => "Methodological errors" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1087402" "palabras" => array:5 [ 0 => "Paciente crítico" 1 => "Metodología" 2 => "Análisis estadísticos" 3 => "Interpretación estadística" 4 => "Errores metodológicos" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The series of updates on methodology for research in critically ill patients has addressed the difficulties caused by the characteristics of patients of this kind, bioethics, the interpretation of results, and methodological error. New statistical methods for causality research, meta-analysis and big data analysis have also been described. The last update refers to the horizon for new research in the field of critical care. We close the series with the hope of having provided a global vision of the statistical methods oriented toward the future, with the aim of promoting statistical culture. In parallel, we have analyzed the evolution in complexity of the methodological analysis in the journal.</p></span>" ] "es" => array:2 [ "titulo" => "Resumen" "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">La serie de actualización en metodología para la investigación en el enfermo crítico ha tratado las dificultades inherentes a las características de este tipo de enfermo, la bioética, la interpretación de resultados y los errores metodológicos. Además, se han mostrado nuevas técnicas estadísticas para la investigación de la causalidad, se ha tratado el metaanálisis y se ha profundizado en el análisis de <span class="elsevierStyleItalic">big data</span>. Este último abordaje es hacia donde van las nuevas investigaciones en el campo del enfermo crítico. La serie que cerramos ha pretendido dar una visión de conjunto de los métodos estadísticos orientada hacia el futuro, con el fin de mejorar la cultura estadística. De manera paralela, hemos valorado la evolución de la complejidad de los análisis metodológicos en la revista.</p></span>" ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Please cite this article as: García Garmendia JL. Evaluación y cierre de la serie sobre metodología en Medicina Intensiva. Med Intensiva. 2019;43:121–123.</p>" ] ] "multimedia" => array:2 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 934 "Ancho" => 1583 "Tamanyo" => 163761 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Evolution of the percentage of original articles published in <span class="elsevierStyleItalic">Medicina Intensiva</span> including more than 3 statistical tests in their methodology since 2016.</p> <p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Chi-square test for linear trend, <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.042.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">2016–2017 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">2018, 2019 and in press \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>66) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>58) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Multicenter, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 (34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 (30) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Spanish authors, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56 (86) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">46 (81) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Analysis of mortality rate, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 (41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 (40) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Estimated sample size, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Type of study: observational, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">46 (71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">51 (88) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="3" align="left" valign="top"><span class="elsevierStyleItalic">Statistical analyses, n (%)</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Comparison of percentages \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">52 (80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43 (75) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Comparison of quantitative variables \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55 (85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">44 (77) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Comparison of repeated measurements \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (12) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Kaplan–Meier \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (17) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (11) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Simple regression model \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Multiple linear regression model \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Logistics regression model \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 (40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 (37) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cox regression model \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (11) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Propensity score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ROC curves \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (26) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Correlation analysis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (18) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Concordance analysis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (14) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Other tests<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (19)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="3" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Number of tests per original article, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.9 (1.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.3 (1.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1982035.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Chaid test, binomial analysis, Least Absolute Shrinkage and Selection Operator, Stochastic Gradient Boosting, matrix analysis, time series, mixed linear models.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0010"><span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.001.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Comparative analysis of the statistical methodology applied to original papers published in <span class="elsevierStyleItalic">Medicina Intensiva</span> in two consecutive periods of time.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:11 [ 0 => array:3 [ "identificador" => "bib0060" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Actualización en metodología en Medicina Intensiva" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "J.L. 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Peñuelas" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.medin.2018.01.002" "Revista" => array:6 [ "tituloSerie" => "Med Intensiva" "fecha" => "2018" "volumen" => "42" "paginaInicial" => "292" "paginaFinal" => "300" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29501284" "web" => "Medline" ] ] ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0090" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Métodos estadísticos alternativos y su aplicación a la investigación en cuidados intensivos" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "A. Gutiérrez-Pizarraya" 1 => "E. García-Cabrera" 2 => "E. 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Sánchez García" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.medin.2018.06.002" "Revista" => array:6 [ "tituloSerie" => "Med Intensiva" "fecha" => "2019" "volumen" => "43" "paginaInicial" => "52" "paginaFinal" => "57" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/30077427" "web" => "Medline" ] ] ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0100" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Systematic review and meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "M. Delgado-Rodríguez" 1 => "M. 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| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 8 | 11 | 19 |
| 2024 October | 43 | 53 | 96 |
| 2024 September | 53 | 34 | 87 |
| 2024 August | 53 | 55 | 108 |
| 2024 July | 81 | 33 | 114 |
| 2024 June | 42 | 51 | 93 |
| 2024 May | 34 | 39 | 73 |
| 2024 April | 39 | 37 | 76 |
| 2024 March | 32 | 31 | 63 |
| 2024 February | 51 | 38 | 89 |
| 2024 January | 37 | 33 | 70 |
| 2023 December | 34 | 39 | 73 |
| 2023 November | 42 | 36 | 78 |
| 2023 October | 35 | 29 | 64 |
| 2023 September | 22 | 32 | 54 |
| 2023 August | 17 | 15 | 32 |
| 2023 July | 33 | 26 | 59 |
| 2023 June | 21 | 25 | 46 |
| 2023 May | 33 | 46 | 79 |
| 2023 April | 20 | 23 | 43 |
| 2023 March | 52 | 27 | 79 |
| 2023 February | 28 | 30 | 58 |
| 2023 January | 19 | 17 | 36 |
| 2022 December | 58 | 32 | 90 |
| 2022 November | 46 | 39 | 85 |
| 2022 October | 54 | 52 | 106 |
| 2022 September | 32 | 41 | 73 |
| 2022 August | 27 | 49 | 76 |
| 2022 July | 30 | 54 | 84 |
| 2022 June | 27 | 30 | 57 |
| 2022 May | 38 | 31 | 69 |
| 2022 April | 34 | 47 | 81 |
| 2022 March | 34 | 62 | 96 |
| 2022 February | 32 | 51 | 83 |
| 2022 January | 32 | 47 | 79 |
| 2021 December | 43 | 43 | 86 |
| 2021 November | 28 | 33 | 61 |
| 2021 October | 51 | 70 | 121 |
| 2021 September | 31 | 34 | 65 |
| 2021 August | 23 | 28 | 51 |
| 2021 July | 18 | 27 | 45 |
| 2021 June | 23 | 33 | 56 |
| 2021 May | 40 | 46 | 86 |
| 2021 April | 91 | 86 | 177 |
| 2021 March | 87 | 45 | 132 |
| 2021 February | 63 | 26 | 89 |
| 2021 January | 30 | 27 | 57 |
| 2020 December | 33 | 15 | 48 |
| 2020 November | 30 | 19 | 49 |
| 2020 October | 29 | 23 | 52 |
| 2020 September | 39 | 17 | 56 |
| 2020 August | 12 | 16 | 28 |
| 2020 July | 30 | 15 | 45 |
| 2020 June | 40 | 12 | 52 |
| 2020 May | 29 | 16 | 45 |
| 2020 April | 23 | 17 | 40 |
| 2020 March | 15 | 14 | 29 |
| 2020 February | 32 | 26 | 58 |
| 2020 January | 33 | 20 | 53 |
| 2019 December | 28 | 22 | 50 |
| 2019 November | 24 | 25 | 49 |
| 2019 October | 29 | 17 | 46 |
| 2019 September | 28 | 27 | 55 |
| 2019 August | 48 | 18 | 66 |
| 2019 July | 31 | 24 | 55 |
| 2019 June | 28 | 11 | 39 |
| 2019 May | 0 | 3 | 3 |
| 2019 April | 0 | 6 | 6 |
| 2019 March | 1 | 8 | 9 |
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