biostudies-literatureAllotey JNational Institute for Health Research (NIHR)e000784https://www.ebi.ac.uk/biostudies/studies/S-EPMC11344865biostudies-literatureUnknown3(1)<h4>Objective</h4>To predict birth weight at various potential gestational ages of delivery based on data routinely available at the first antenatal visit.<h4>Design</h4>Individual participant data meta-analysis.<h4>Data sources</h4>Individual participant data of four cohorts (237 228 pregnancies) from the International Prediction of Pregnancy Complications (IPPIC) network dataset.<h4>Eligibility criteria for selecting studies</h4>Studies in the IPPIC network were identified by searching major databases for studies reporting risk factors for adverse pregnancy outcomes, such as pre-eclampsia, fetal growth restriction, and stillbirth, from database inception to August 2019. Data of four IPPIC cohorts (237 228 pregnancies) from the US (National Institute of Child Health and Human Development,BMJ medicineDevelopment and validation of a prognostic model to predict birth weight: individual participant data meta-analysis.PMC1134486514/158/02Saito SHaddad BGGibson RSalvesen KWest JZimmerman PAUiterwaal CSKleinrouweler ECZhang Jvan Gelder MKlipstein-Grobusch KHaavaldsen CSequeira EPoston LFerrazzani SGalindo ALaivuori HThilaganathan BThangaratinam SCrovetto FPilalis AYeo SStaff ACCoomar DRamirez JADa Silva Costa FSletner LRumbold AHawkins LASmits LCecatti JGFarrar DFerrazzi ENorman JEForest JCFacchinetti FTrogstad LGiguere YSeed PTMbah ALykke JARiddell CCarroli GVilla PMVelauthar LHerraiz ICrowther CAJorgensen JSMacleod MMakrides MKingdom JSalim ROlive ELJenum AKBetran APSouza RTSmuk MBaschat AAAnggraini DChappell LAskie LMGoffinet FMone FVerlohren SEero KPajkrt EFigueiro-Filho EAOlsen JHuang TAllen REHolzman CAllotey JMcAuliffe FMOdibo AOMcCowan LSkrastad RBVinter CAArcher LSmith GGSFigueras Fvan Kuijk SMJAudibert FNagata CLangenveld JVollebregt KCSteegers EAPDekker GOhkuchi AKwong AConde-Agudelo ASalvi SMistry HEisensee IAdank ACoomarasamy AMeschino WSRoberts CTMyers JCarbillon LSavitri AISnell KIELeCarpentier EKhalil AIllanes SEvan Oostwaard MZavaleta NGanzevoort WLapaire OWidmer MWolf HFrusca TVergani PTakeda SRedman CDaskalakis GHeinonen SBhattacharya SMagnus PMLumbiganon PRiley RDAndersen LBPrefumo FMasse JEskild ASouka APMorris RKKenny LCHaqnawaz SBrown MZamora JBrowne JLInternational Prediction of Pregnancy Complications collaborative networkMol BWvan de Post JTemmerman MGroen HGabbay-Benziv RTeede HfalseDevelopment and validation of a prognostic model to predict birth weight: individual participant data meta-analysis.<h4>Objective</h4>To predict birth weight at various potential gestational ages of delivery based on data routinely available at the first antenatal visit.<h4>Design</h4>Individual participant data meta-analysis.<h4>Data sources</h4>Individual participant data of four cohorts (237 228 pregnancies) from the International Prediction of Pregnancy Complications (IPPIC) network dataset.<h4>Eligibility criteria for selecting studies</h4>Studies in the IPPIC network were identified by searching major databases for studies reporting risk factors for adverse pregnancy outcomes, such as pre-eclampsia, fetal growth restriction, and stillbirth, from database inception to August 2019. Data of four IPPIC cohorts (237 228 pregnancies) from the US (National Institute of Child Health and Human Development,2024-01-01T00:00:00Z20242026-04-29T23:58:50.072Z2026-04-07T15:37:18.113ZS-EPMC113448653918456610.1136/bmjmed-2023-000784