Pallas Alonso, 2008, Nuevos aspectos en torno a la prematuridad, Evid Pediatr, 4, 26
INE. Available from: http://www.ine.es/jaxi/Datos.htm?path=/t20/e301/nacim/a2008/l0/&file=01011.px [accessed 22.12.18].
INE. Available from: http://www.ine.es/jaxi/Datos.htm?path=/t20/e301/nacim/a2017/l0/&file=01011.px [accessed 22.12.18].
Boland, 2016, What are we telling the parents of extremely preterm babies?, Aust N Z J Obstet Gynaecol, 56, 274, 10.1111/ajo.12448
Debray, 2017, A guide to systematic review and meta-analysis of prediction model performance, BMJ, 356, 1
Croft, 2015, The science of clinical practice: disease diagnosis or patient prognosis? Evidence about “what is likely to happen” should shape clinical practice, BMC Med, 13, 20, 10.1186/s12916-014-0265-4
Seaton, 2016, Modelling neonatal care pathways for babies born preterm: an application of multistate modelling, PLOS ONE, 11, e0165202, 10.1371/journal.pone.0165202
Medlock, 2011, Prediction of mortality in very premature infants: a systematic review of prediction models, PLOS ONE, 6, 1, 10.1371/journal.pone.0023441
Geersing, 2012, Search filters for finding prognostic and diagnostic prediction studies in Medicine to enhance systematic reviews, PLOS ONE, 7, e32844, 10.1371/journal.pone.0032844
Shah, 2012, Canadian Neonatal Network Prediction of survival without morbidity for infants born at under 33 weeks gestational age: a user-friendly graphical tool, Arch Dis Child Fetal Neonatal Ed, 97, F110, 10.1136/archdischild-2011-300143
Ambalavanan, 2012, Outcome trajectories in extremely preterm infants, Pediatrics, 130, e115, 10.1542/peds.2011-3693
Ge, 2013, Prediction of neonatal outcomes in extremely preterm neonates, Pediatrics, 132, e876, 10.1542/peds.2013-0702
Ravelli, 2014, Antenatal prediction of neonatal mortality in very premature infants, Eur J Obstet Gynecol Reprod Biol, 176, 126, 10.1016/j.ejogrb.2014.02.030
Márquez-González, 2015, Development and validation of the neonatal mortality score-9 Mexico to predict mortality in critically ill neonates, Arch Argent Pediatr, 113, 213
Schmidt, 2015, Prediction of late death or disability at age 5 years using a count of 3 neonatal morbidities in very low birth weight infants, J Pediatr, 167, 982, 10.1016/j.jpeds.2015.07.067
King, 2016, Online calculator to improve counseling of short term neonatal neonatal morbidity and mortality outcomes at extremely low gestational age (23–28 weeks), Am J Perinatol, 33, 910, 10.1055/s-0036-1581131
Podda, 2018, A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor, Sci Rep, 8, 12743, 10.1038/s41598-018-31920-6
Andrews, 2016, A comparison of prenatal and postnatal models to predict outcomes at the border of viability, J Pediatr, 173, 96, 10.1016/j.jpeds.2016.02.042
Cockburn, 1993, The CRIB (clinical risk index for babies) score: a tool for assessing initial neonatal risk and comparing performance of neonatal intensive care units, Lancet, 342, 193, 10.1016/0140-6736(93)92296-6
Draper, 1999, Prediction of survival for preterm births by weight and gestational age: retrospective population-based study, BMJ, 319, 1093, 10.1136/bmj.319.7217.1093
Rosenberg, 2008, Simplified age-weight mortality risk classification for very low birth weight infants in low-resource settings, J Pediatr, 153, 519, 10.1016/j.jpeds.2008.04.051
Tyson, 2008, Neonatal Research Network Intensive care for extreme prematurity – moving beyond gestational age, N Engl J Med, 358, 1672, 10.1056/NEJMoa073059
Morse, 2000, Estimation of neonatal outcome and perinatal therapy use, Pediatrics, 105, 1046, 10.1542/peds.105.5.1046
Moons, 2014, Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS Checklist, PLoS Med, 11, e1001744, 10.1371/journal.pmed.1001744
Wolff, 2019, PROBAST: a tool to assess the risk of bias and applicability of prediction model studies, Ann Intern Med, 170, 51, 10.7326/M18-1376
Bell, 2018, What parents want to know after preterm birth, J Pediatr, 200, 10, 10.1016/j.jpeds.2018.04.025
Richardson, 2001, SNAP-II and SNAPPE-II: simplified newborn illness severity and mortality risk scores, J Pediatr, 138, 92, 10.1067/mpd.2001.109608
Janota, 2001, Characterization of multiple organ dysfunction syndrome in very low birth weight infants: a new sequential scoring system, Shock, 15, 348, 10.1097/00024382-200115050-00003
Parry, 2003, CRIB-II: an update of the clinical risk index for babies score, Lancet, 361, 1789, 10.1016/S0140-6736(03)13397-1
Marshall, 2005, A new score for predicting neonatal very low birth weight mortality risk in the Neocosur South American Network, J Perinatol, 25, 577, 10.1038/sj.jp.7211362
Cole, 2010, The PREM score: a graphical tool for predicting survival in very preterm births, Arch Dis Child Fetal Neonatal Ed, 95, F14, 10.1136/adc.2009.164533
Moro, 2008, SEN1500: diseño y desarrollo del registro de niños de menos de 1.500g al nacer en España, An Pediatr (Barc), 68, 181, 10.1157/13116235
Moro, 2007, Mortality for newborns of birthweight less than 1500g in Spanish neonatal units (2002–2005), Am J Perinatol, 24, 593, 10.1055/s-2007-992175
Shah, 2016, Neonatal outcomes of very low birth weight and very preterm neonates: an international comparison, J Pediatr, 177, 144, 10.1016/j.jpeds.2016.04.083
García, 2013, Seguimiento a los 2 años de edad corregida de una cohorte de recién nacidos con peso inferior o igual a 1.500g de los hospitales pertenecientes a la red neonatal SEN1500, An Pediatr (Barc), 79, 279, 10.1016/j.anpedi.2013.03.017
García-Muñóz, 2014, Morbimortalidad en recién nacidos al límite de la viabilidad en España: estudio de base poblacional, An Pediatr, 80, 348, 10.1016/j.anpedi.2013.12.012
García-Muñóz, 2015, Changes in perinatal care and outcomes in newborns at the limit of viability in Spain. The EPI-SEN Study, Neonatology, 107, 120, 10.1159/000368881
Figueras, 2005, Antenatal glucocorticoid treatment decreases mortality and chronic lung disease in survivors among 23–28 w gestational age preterm infants, Am J Perinatol, 22, 441, 10.1055/s-2005-916332