Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis

John Allotey; Lucinda Archer; Kym IE Snell; Dyuti Coomar; Jacques Massé; Line Sletner; Hans Wolf; George Daskalakis; Shigeru Saito; Wessel Ganzevoort; Akihide Ohkuchi; Hema  Mistry; Diane Farrar; Fionnuala Mone; Jun Zhang; Paul T. Seed; Helena J. Teede; Fabricio da Silva Costa; Athena P. Souka; Melanie Smuk; Sergio Ferrazzani; Silvia  Salvi; Federico Prefumo; Rinat Gabbay-Benziv; Chie Nagata; Satoru Takeda; Evan Sequeira; Olav Lapaire; Jose Guilherme  Cecatti; Rachel Katherine  Morris; Ahmet A. Baschat; Kjell Salvesen; Luc Smits; Dewi  Anggraini; Alice R. Rumbold; Marleen van Gelder; Arri Coomarasamy; John Kingdom; Seppo Heinonen; Asma Khalil; François Goffinet; Sadia Haqnawaz; Javier Zamora; Richard D. Riley; Shakila Thangaratinam

doi:10.1136/bmjmed-2023-000784

Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis

John Allotey, Lucinda Archer, Kym IE Snell, Dyuti Coomar, Jacques Massé, Line Sletner, Hans Wolf, George Daskalakis, Shigeru Saito, Wessel Ganzevoort, Akihide Ohkuchi, Hema Mistry, Diane Farrar, Fionnuala Mone, Jun Zhang, Paul T. Seed, Helena J. Teede, Fabricio da Silva Costa, Athena P. Souka, Melanie SmukSergio Ferrazzani, Silvia Salvi, Federico Prefumo, Rinat Gabbay-Benziv, Chie Nagata, Satoru Takeda, Evan Sequeira, Olav Lapaire, Jose Guilherme Cecatti, Rachel Katherine Morris, Ahmet A. Baschat, Kjell Salvesen, Luc Smits, Dewi Anggraini, Alice R. Rumbold, Marleen van Gelder, Arri Coomarasamy, John Kingdom, Seppo Heinonen, Asma Khalil, François Goffinet, Sadia Haqnawaz, Javier Zamora, Richard D. Riley, Shakila Thangaratinam

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Article number	e000784
Journal	BMJ medicine
Volume	3
Issue number	1
Number of pages	14
ISSN	2754-0413
DOIs	https://doi.org/10.1136/bmjmed-2023-000784
Publication status	Published - 2024
MoE publication type	A1 Journal article-refereed

Fields of Science

3123 Gynaecology and paediatrics

Access to Document

10.1136/bmjmed-2023-000784

e000784.fullFinal published version, 930 KBLicence: CC BY-NC

Cite this

Allotey, J., Archer, L., Snell, K. IE., Coomar, D., Massé, J., Sletner, L., Wolf, H., Daskalakis, G., Saito, S., Ganzevoort, W., Ohkuchi, A., Mistry, H., Farrar, D., Mone, F., Zhang, J., Seed, P. T., Teede, H. J., da Silva Costa, F., Souka, A. P., ... Thangaratinam, S. (2024). Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis. BMJ medicine, 3(1), Article e000784. https://doi.org/10.1136/bmjmed-2023-000784

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title = "Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis",

keywords = "3123 Gynaecology and paediatrics",

author = "John Allotey and Lucinda Archer and Snell, {Kym IE} and Dyuti Coomar and Jacques Mass{\'e} and Line Sletner and Hans Wolf and George Daskalakis and Shigeru Saito and Wessel Ganzevoort and Akihide Ohkuchi and Hema Mistry and Diane Farrar and Fionnuala Mone and Jun Zhang and Seed, {Paul T.} and Teede, {Helena J.} and {da Silva Costa}, Fabricio and Souka, {Athena P.} and Melanie Smuk and Sergio Ferrazzani and Silvia Salvi and Federico Prefumo and Rinat Gabbay-Benziv and Chie Nagata and Satoru Takeda and Evan Sequeira and Olav Lapaire and Cecatti, {Jose Guilherme} and Morris, {Rachel Katherine} and Baschat, {Ahmet A.} and Kjell Salvesen and Luc Smits and Dewi Anggraini and Rumbold, {Alice R.} and {van Gelder}, Marleen and Arri Coomarasamy and John Kingdom and Seppo Heinonen and Asma Khalil and Fran{\c c}ois Goffinet and Sadia Haqnawaz and Javier Zamora and Riley, {Richard D.} and Shakila Thangaratinam",

year = "2024",

doi = "10.1136/bmjmed-2023-000784",

language = "English",

volume = "3",

journal = "BMJ medicine",

issn = "2754-0413",

publisher = "BMJ Publishing Group Ltd",

number = "1",

}

Allotey, J, Archer, L, Snell, KIE, Coomar, D, Massé, J, Sletner, L, Wolf, H, Daskalakis, G, Saito, S, Ganzevoort, W, Ohkuchi, A, Mistry, H, Farrar, D, Mone, F, Zhang, J, Seed, PT, Teede, HJ, da Silva Costa, F, Souka, AP, Smuk, M, Ferrazzani, S, Salvi, S, Prefumo, F, Gabbay-Benziv, R, Nagata, C, Takeda, S, Sequeira, E, Lapaire, O, Cecatti, JG, Morris, RK, Baschat, AA, Salvesen, K, Smits, L, Anggraini, D, Rumbold, AR, van Gelder, M, Coomarasamy, A, Kingdom, J, Heinonen, S, Khalil, A, Goffinet, F, Haqnawaz, S, Zamora, J, Riley, RD & Thangaratinam, S 2024, 'Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis', BMJ medicine, vol. 3, no. 1, e000784. https://doi.org/10.1136/bmjmed-2023-000784

TY - JOUR

T1 - Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis

AU - Allotey, John

AU - Archer, Lucinda

AU - Snell, Kym IE

AU - Coomar, Dyuti

AU - Massé, Jacques

AU - Sletner, Line

AU - Wolf, Hans

AU - Daskalakis, George

AU - Saito, Shigeru

AU - Ganzevoort, Wessel

AU - Ohkuchi, Akihide

AU - Mistry, Hema

AU - Farrar, Diane

AU - Mone, Fionnuala

AU - Zhang, Jun

AU - Seed, Paul T.

AU - Teede, Helena J.

AU - da Silva Costa, Fabricio

AU - Souka, Athena P.

AU - Smuk, Melanie

AU - Ferrazzani, Sergio

AU - Salvi, Silvia

AU - Prefumo, Federico

AU - Gabbay-Benziv, Rinat

AU - Nagata, Chie

AU - Takeda, Satoru

AU - Sequeira, Evan

AU - Lapaire, Olav

AU - Cecatti, Jose Guilherme

AU - Morris, Rachel Katherine

AU - Baschat, Ahmet A.

AU - Salvesen, Kjell

AU - Smits, Luc

AU - Anggraini, Dewi

AU - Rumbold, Alice R.

AU - van Gelder, Marleen

AU - Coomarasamy, Arri

AU - Kingdom, John

AU - Heinonen, Seppo

AU - Khalil, Asma

AU - Goffinet, François

AU - Haqnawaz, Sadia

AU - Zamora, Javier

AU - Riley, Richard D.

AU - Thangaratinam, Shakila

PY - 2024

Y1 - 2024

KW - 3123 Gynaecology and paediatrics

U2 - 10.1136/bmjmed-2023-000784

DO - 10.1136/bmjmed-2023-000784

M3 - Article

SN - 2754-0413

VL - 3

JO - BMJ medicine

JF - BMJ medicine

IS - 1

M1 - e000784

ER -