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Searching for the definition of macrosomia through an outcome-based approach in low- and middle-income countries: a secondary analysis of the WHO Global Survey in Africa, Asia and Latin America

Overview of attention for article published in BMC Pregnancy and Childbirth, December 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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1 policy source
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4 X users

Citations

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57 Dimensions

Readers on

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152 Mendeley
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Title
Searching for the definition of macrosomia through an outcome-based approach in low- and middle-income countries: a secondary analysis of the WHO Global Survey in Africa, Asia and Latin America
Published in
BMC Pregnancy and Childbirth, December 2015
DOI 10.1186/s12884-015-0765-z
Pubmed ID
Authors

Jiangfeng Ye, Maria Regina Torloni, Erika Ota, Kapila Jayaratne, Cynthia Pileggi-Castro, Eduardo Ortiz-Panozo, Pisake Lumbiganon, Naho Morisaki, Malinee Laopaiboon, Rintaro Mori, Özge Tunçalp, Fang Fang, Hongping Yu, João Paulo Souza, Joshua Peter Vogel, Jun Zhang

Abstract

No consensus definition of macrosomia currently exists among researchers and obstetricians. We aimed to identify a definition of macrosomia that is more predictive of maternal and perinatal mortality and morbidity in low- and middle-income countries. We conducted a secondary data analysis using WHO Global Survey on Maternal and Perinatal Health data on Africa and Latin America from 2004 to 2005 and Asia from 2007 to 2008. We compared adverse outcomes, which were assessed by the composite maternal mortality and morbidity index (MMMI) and perinatal mortality and morbidity index (PMMI) in subgroups with birthweight (3000-3499 g [reference group], 3500-3999 g, 4000-4099 g, 4100-4199 g, 4200-4299 g, 4300-4399 g, 4400-4499 g, 4500-4999 g) or country-specific birthweight percentile for gestational age (50(th)-74(th) percentile [reference group], 75(th)-89(th), 90(th)-94(th), 95(th)-96(th), and ≥97(th) percentile). Two-level logistic regression models were used to estimate odds ratios of MMMI and PMMI. A total of 246,659 singleton term births from 363 facilities in 23 low- and middle-income countries were included. Adjusted odds ratios (aORs) for intrapartum caesarean sections exceeded 2.0 when birthweight was greater than 4000 g (2 · 00 [95 % CI: 1 · 68, 2 · 39], 2 · 42 [95 % CI: 2 · 02, 2 · 89], 2 · 01 [95 % CI: 1 · 74, 2 · 33] in Africa, Asia and Latin America, respectively). aORs of MMMI reached 2.0 when birthweight was greater than 4000 g, 4500 g in Asia and Africa, respectively. aORs of PMMI approached to 2.0 (1 · 78 [95 % CI: 1 · 16, 2 · 74]) when birthweight was greater than 4500 g in Latin America. When birthweight was at the 90(th) percentile or higher, aORs of MMMI and PMMI increased, but none exceeded 2.0. The population-specific definition of macrosomia using birthweight cut-off points irrespective of gestational age (4500 g in Africa and Latin America, 4000 g in Asia) is more predictive of maternal and perinatal adverse outcomes, and simpler to apply compared to the definition based on birthweight percentile for a given gestational age.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 151 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 19%
Student > Ph. D. Student 13 9%
Researcher 12 8%
Student > Bachelor 9 6%
Student > Postgraduate 8 5%
Other 29 19%
Unknown 52 34%
Readers by discipline Count As %
Medicine and Dentistry 42 28%
Nursing and Health Professions 17 11%
Social Sciences 11 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Materials Science 3 2%
Other 16 11%
Unknown 59 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2016.
All research outputs
#5,609,740
of 22,834,308 outputs
Outputs from BMC Pregnancy and Childbirth
#1,426
of 4,191 outputs
Outputs of similar age
#86,815
of 387,656 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#16
of 69 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,191 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 387,656 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.