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The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

BACKGROUND: The prevalence of small for gestational age (SGA) may vary depending on the chosen weight-for-gestational-age reference chart. An individual participant data meta-analysis was conducted to assess the implications of using a local reference (STOPPAM) instead of a universal reference (Inte...

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Autores principales: Mtove, George, Minja, Daniel T. R., Abdul, Omari, Gesase, Samwel, Maleta, Kenneth, Divala, Titus H., Patson, Noel, Ashorn, Ulla, Laufer, Miriam K., Madanitsa, Mwayiwawo, Ashorn, Per, Mathanga, Don, Chinkhumba, Jobiba, Gutman, Julie R., ter Kuile, Feiko O., Møller, Sofie Lykke, Bygbjerg, Ib C., Alifrangis, Michael, Theander, Thor, Lusingu, John P. A., Schmiegelow, Christentze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559842/
https://www.ncbi.nlm.nih.gov/pubmed/36224585
http://dx.doi.org/10.1186/s12936-022-04307-2
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author Mtove, George
Minja, Daniel T. R.
Abdul, Omari
Gesase, Samwel
Maleta, Kenneth
Divala, Titus H.
Patson, Noel
Ashorn, Ulla
Laufer, Miriam K.
Madanitsa, Mwayiwawo
Ashorn, Per
Mathanga, Don
Chinkhumba, Jobiba
Gutman, Julie R.
ter Kuile, Feiko O.
Møller, Sofie Lykke
Bygbjerg, Ib C.
Alifrangis, Michael
Theander, Thor
Lusingu, John P. A.
Schmiegelow, Christentze
author_facet Mtove, George
Minja, Daniel T. R.
Abdul, Omari
Gesase, Samwel
Maleta, Kenneth
Divala, Titus H.
Patson, Noel
Ashorn, Ulla
Laufer, Miriam K.
Madanitsa, Mwayiwawo
Ashorn, Per
Mathanga, Don
Chinkhumba, Jobiba
Gutman, Julie R.
ter Kuile, Feiko O.
Møller, Sofie Lykke
Bygbjerg, Ib C.
Alifrangis, Michael
Theander, Thor
Lusingu, John P. A.
Schmiegelow, Christentze
author_sort Mtove, George
collection PubMed
description BACKGROUND: The prevalence of small for gestational age (SGA) may vary depending on the chosen weight-for-gestational-age reference chart. An individual participant data meta-analysis was conducted to assess the implications of using a local reference (STOPPAM) instead of a universal reference (Intergrowth-21) on the association between malaria in pregnancy and SGA. METHODS: Individual participant data of 6,236 newborns were pooled from seven conveniently identified studies conducted in Tanzania and Malawi from 2003–2018 with data on malaria in pregnancy, birthweight, and ultrasound estimated gestational age. Mixed-effects regression models were used to compare the association between malaria in pregnancy and SGA when using the STOPPAM and the Intergrowth-21 references, respectively. RESULTS: The 10th percentile for birthweights-for-gestational age was lower for STOPPAM than for Intergrowth-21, leading to a prevalence of SGA(STOPPAM) of 14.2% and SGA(IG21) of 18.0%, p < 0.001. The association between malaria in pregnancy and SGA was stronger for STOPPAM (adjusted odds ratio (aOR) 1.30 [1.09–1.56], p < 0.01) than for Intergrowth-21 (aOR 1.19 [1.00–1.40], p = 0.04), particularly among paucigravidae (SGA(STOPPAM) aOR 1.36 [1.09–1.71], p < 0.01 vs SGA(IG21) aOR 1.21 [0.97–1.50], p = 0.08). CONCLUSIONS: The prevalence of SGA may be overestimated and the impact of malaria in pregnancy underestimated when using Intergrowth-21. Comparing local reference charts to global references when assessing and interpreting the impact of malaria in pregnancy may be appropriate. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-022-04307-2.
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spelling pubmed-95598422022-10-14 The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart Mtove, George Minja, Daniel T. R. Abdul, Omari Gesase, Samwel Maleta, Kenneth Divala, Titus H. Patson, Noel Ashorn, Ulla Laufer, Miriam K. Madanitsa, Mwayiwawo Ashorn, Per Mathanga, Don Chinkhumba, Jobiba Gutman, Julie R. ter Kuile, Feiko O. Møller, Sofie Lykke Bygbjerg, Ib C. Alifrangis, Michael Theander, Thor Lusingu, John P. A. Schmiegelow, Christentze Malar J Research BACKGROUND: The prevalence of small for gestational age (SGA) may vary depending on the chosen weight-for-gestational-age reference chart. An individual participant data meta-analysis was conducted to assess the implications of using a local reference (STOPPAM) instead of a universal reference (Intergrowth-21) on the association between malaria in pregnancy and SGA. METHODS: Individual participant data of 6,236 newborns were pooled from seven conveniently identified studies conducted in Tanzania and Malawi from 2003–2018 with data on malaria in pregnancy, birthweight, and ultrasound estimated gestational age. Mixed-effects regression models were used to compare the association between malaria in pregnancy and SGA when using the STOPPAM and the Intergrowth-21 references, respectively. RESULTS: The 10th percentile for birthweights-for-gestational age was lower for STOPPAM than for Intergrowth-21, leading to a prevalence of SGA(STOPPAM) of 14.2% and SGA(IG21) of 18.0%, p < 0.001. The association between malaria in pregnancy and SGA was stronger for STOPPAM (adjusted odds ratio (aOR) 1.30 [1.09–1.56], p < 0.01) than for Intergrowth-21 (aOR 1.19 [1.00–1.40], p = 0.04), particularly among paucigravidae (SGA(STOPPAM) aOR 1.36 [1.09–1.71], p < 0.01 vs SGA(IG21) aOR 1.21 [0.97–1.50], p = 0.08). CONCLUSIONS: The prevalence of SGA may be overestimated and the impact of malaria in pregnancy underestimated when using Intergrowth-21. Comparing local reference charts to global references when assessing and interpreting the impact of malaria in pregnancy may be appropriate. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-022-04307-2. BioMed Central 2022-10-12 /pmc/articles/PMC9559842/ /pubmed/36224585 http://dx.doi.org/10.1186/s12936-022-04307-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mtove, George
Minja, Daniel T. R.
Abdul, Omari
Gesase, Samwel
Maleta, Kenneth
Divala, Titus H.
Patson, Noel
Ashorn, Ulla
Laufer, Miriam K.
Madanitsa, Mwayiwawo
Ashorn, Per
Mathanga, Don
Chinkhumba, Jobiba
Gutman, Julie R.
ter Kuile, Feiko O.
Møller, Sofie Lykke
Bygbjerg, Ib C.
Alifrangis, Michael
Theander, Thor
Lusingu, John P. A.
Schmiegelow, Christentze
The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
title The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
title_full The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
title_fullStr The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
title_full_unstemmed The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
title_short The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
title_sort choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the intergrowth-21 with a tanzanian birthweight chart
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559842/
https://www.ncbi.nlm.nih.gov/pubmed/36224585
http://dx.doi.org/10.1186/s12936-022-04307-2
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