A systematic review of neonatal treatment intensity scores and their potential application in low-resource setting hospitals for predicting mortality, morbidity and estimating resource use

[1]  J. McAuley,et al.  Understanding the usefulness of prognostic models in clinical decision-making. , 2017, Journal of physiotherapy.

[2]  G. Collins,et al.  Statistical Inefficiencies in the Development of a Prediction Model. , 2017, Anesthesia and analgesia.

[3]  Yvonne Vergouwe,et al.  A calibration hierarchy for risk models was defined: from utopia to empirical data. , 2016, Journal of clinical epidemiology.

[4]  G. Collins,et al.  Prediction models for cardiovascular disease risk in the general population: systematic review , 2016, British Medical Journal.

[5]  Ewout W Steyerberg,et al.  Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests , 2016, British Medical Journal.

[6]  Gary S Collins,et al.  Sample size considerations for the external validation of a multivariable prognostic model: a resampling study , 2015, Statistics in medicine.

[7]  Pei-Ling Wu,et al.  Predictive power of serial neonatal therapeutic intervention scoring system scores for short-term mortality in very-low-birth-weight infants. , 2015, Pediatrics and neonatology.

[8]  Shoo K. Lee,et al.  Association of unit size, resource utilization and occupancy with outcomes of preterm infants , 2015, Journal of Perinatology.

[9]  G. Collins,et al.  Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist , 2014, PLoS medicine.

[10]  Kristin L. Sainani Explanatory Versus Predictive Modeling , 2014, PM & R : the journal of injury, function, and rehabilitation.

[11]  M. English,et al.  Assessment of neonatal care in clinical training facilities in Kenya , 2014, Archives of Disease in Childhood.

[12]  L. Huicho,et al.  Every Newborn: health-systems bottlenecks and strategies to accelerate scale-up in countries , 2014, The Lancet.

[13]  Yvonne Vergouwe,et al.  Towards better clinical prediction models: seven steps for development and an ABCD for validation. , 2014, European heart journal.

[14]  Patrick M M Bossuyt,et al.  Applying Grading of Recommendations Assessment, Development and Evaluation (GRADE) to diagnostic tests was challenging but doable. , 2014, Journal of clinical epidemiology.

[15]  Jai K Das,et al.  Can available interventions end preventable deaths in mothers, newborn babies, and stillbirths, and at what cost? , 2014, The Lancet.

[16]  G. Collins,et al.  External validation of multivariable prediction models: a systematic review of methodological conduct and reporting , 2014, BMC Medical Research Methodology.

[17]  K. Moons,et al.  Diagnostic and prognostic prediction models , 2013, Journal of thrombosis and haemostasis : JTH.

[18]  Gary S Collins,et al.  A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods. , 2013, Journal of clinical epidemiology.

[19]  Matthew M Davis,et al.  Methods of Mortality Risk Adjustment in the NICU: A 20-Year Review , 2013, Pediatrics.

[20]  Richard D Riley,et al.  Prognosis research strategy (PROGRESS) 4: Stratified medicine research , 2013, BMJ : British Medical Journal.

[21]  E. Steyerberg,et al.  Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research , 2013, PLoS medicine.

[22]  Shoo K. Lee,et al.  Transport Risk Index of Physiologic Stability, Version II (TRIPS-II): A Simple and Practical Neonatal Illness Severity Score , 2012, American Journal of Perinatology.

[23]  O. Saka,et al.  Risk prediction using a neonatal therapeutic intervention scoring system in VLBW and ELBW preterm infants , 2012, Pediatrics International.

[24]  E. Steyerberg,et al.  Reporting and Methods in Clinical Prediction Research: A Systematic Review , 2012, PLoS medicine.

[25]  M. Leeflang,et al.  Search Filters for Finding Prognostic and Diagnostic Prediction Studies in Medline to Enhance Systematic Reviews , 2012, PloS one.

[26]  A. Abu-Hanna,et al.  Prediction of Mortality in Very Premature Infants: A Systematic Review of Prediction Models , 2011, PloS one.

[27]  G. Collins,et al.  Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting , 2011, BMC medicine.

[28]  J. G. Rojas,et al.  Herramienta para el cálculo de personal de cuidado intensivo neonatal , 2011 .

[29]  J. G. Rojas,et al.  A Tool for Calculating the Nursing Staff at Neonatal Intensive Care Units , 2011 .

[30]  G. Guyatt,et al.  GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. , 2011, Journal of clinical epidemiology.

[31]  Patrick Royston,et al.  Reporting methods in studies developing prognostic models in cancer: a review , 2010, BMC medicine.

[32]  J. Vincent,et al.  Clinical review: Scoring systems in the critically ill , 2010, Critical care.

[33]  G H Guyatt,et al.  Grading quality of evidence and strength of recommendations in clinical practice guidelines: Part 2 of 3. The GRADE approach to grading quality of evidence about diagnostic tests and strategies , 2009, Allergy.

[34]  D. Moher,et al.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement , 2009, BMJ : British Medical Journal.

[35]  C.J.H. Mann,et al.  Clinical Prediction Models: A Practical Approach to Development, Validation and Updating , 2009 .

[36]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: validating a prognostic model , 2009, BMJ : British Medical Journal.

[37]  A. Horvath,et al.  Grading quality of evidence and strength of recommendations for diagnostic tests and strategies. , 2009, Clinical chemistry.

[38]  J. Katz,et al.  Simplified age-weight mortality risk classification for very low birth weight infants in low-resource settings. , 2008, The Journal of pediatrics.

[39]  G. Guyatt,et al.  GRADE: an emerging consensus on rating quality of evidence and strength of recommendations , 2008, BMJ : British Medical Journal.

[40]  D. Field,et al.  Value and validity of neonatal disease severity scoring systems , 2007, Archives of Disease in Childhood Fetal and Neonatal Edition.

[41]  R. D. Almeida,et al.  Uso da tecnologia como ferramenta de avaliação no cuidado clínico de recém-nascidos prematuros , 2006 .

[42]  M. Moreira,et al.  Use of technology as an evaluation tool of clinical care in preterm newborns. , 2006, Jornal de pediatria.

[43]  W. Tarnow-Mordi What is the role of neonatal organ dysfunction and illness severity scores in therapeutic studies in sepsis? , 2005, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[44]  Yvonne Vergouwe,et al.  Substantial effective sample sizes were required for external validation studies of predictive logistic regression models. , 2005, Journal of clinical epidemiology.

[45]  D. Field,et al.  Neonatal disease severity scoring systems , 2004, Archives of Disease in Childhood - Fetal and Neonatal Edition.

[46]  G. Parry,et al.  CRIB II: an update of the clinical risk index for babies score , 2003, The Lancet.

[47]  J. Zupancic,et al.  Characterization of Neonatal Personnel Time Inputs and Prediction From Clinical Variables — A Time and Motion Study , 2002, Journal of Perinatology.

[48]  L. Bodin,et al.  Can severity‐of‐illness indices for neonatal intensive care predict outcome at 4 years of age? , 2002, Acta paediatrica.

[49]  J. Marcin,et al.  Review of the methodologies and applications of scoring systems in neonatal and pediatric intensive care , 2000, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[50]  M. Pollack,et al.  A comparison of neonatal mortality risk prediction models in very low birth weight infants. , 2000, Pediatrics.

[51]  D G Altman,et al.  What do we mean by validating a prognostic model? , 2000, Statistics in medicine.

[52]  K. Covinsky,et al.  Assessing the Generalizability of Prognostic Information , 1999, Annals of Internal Medicine.

[53]  B. Fleisher,et al.  Neonatal Severity of Illness Scorinng Systems: A Comparison , 1997, Clinical pediatrics.

[54]  M. R. Q. Davies,et al.  The need for a universal method of quantifying severity of illness to allow accurate analysis of the results of treatment in neonatal surgical cases , 1995, Pediatric Surgery International.

[55]  R. Gemke,et al.  Patient characteristics and resource utilisation in paediatric intensive care. , 1994, Archives of disease in childhood.

[56]  A. Zaslavsky,et al.  Intermediate TISS: A new Therapeutic Intervention Scoring System for non‐ICU patients , 1994, Critical care medicine.

[57]  D. Richardson,et al.  Neonatal therapeutic intervention scoring system: a therapy-based severity-of-illness index. , 1992, Pediatrics.

[58]  D. Cullen,et al.  Therapeutic Intervention Scoring System: Update 1983 , 1983, Critical care medicine.

[59]  J. Civetta,et al.  Therapeutic intervention scoring system: a method for quantitative comparison of patient care , 1974, Critical care medicine.

[60]  Gary S Collins,et al.  Prognostic models in obstetrics: available, but far from applicable. , 2016, American journal of obstetrics and gynecology.

[61]  Jose H. Salazar,et al.  Use of risk stratification indices to predict mortality in critically ill children , 2013, European Journal of Pediatrics.

[62]  G. Guyatt,et al.  Clinical Prediction Rules , 2004 .

[63]  G. Escobar,et al.  SNAP-II and SNAPPE-II: Simplified newborn illness severity and mortality risk scores. , 2001, The Journal of pediatrics.

[64]  W. Schaufeli,et al.  Simplified Therapeutic Intervention Scoring System: the TISS-28 items--results from a multicenter study. , 1996 .

[65]  M. Georgieff,et al.  Validation of two scoring systems which assess the degree of physiologic instability in critically ill newborn infants. , 1989, Critical care medicine.

[66]  © Institute of Mathematical Statistics, 2010 To Explain or to Predict? , 2022 .