Evidence map›Paper›PMID 26634821›Full record

ArticleBMC pregnancy and childbirth2015

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.

Jiangfeng Ye, Maria Regina Torloni, Erika Ota, Kapila Jayaratne, Cynthia Pileggi-Castro, Eduardo Ortiz-Panozo, Pisake Lumbiganon, Naho Morisaki, Malinee Laopaiboon, Rintaro Mori and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 6 countries.

Jiangfeng YeMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. jiangfeng_ye@hotmail.com.
Maria Regina TorloniDepartment of Internal Medicine, Post Graduate program of Evidence Based Healthcare, São Paulo Federal University, São Paulo, SP, Brazil. ginecologia@terra.com.br.
Erika OtaDepartment of Health Policy, National Center for Child Health and Development, Tokyo, Japan. otaerika@gmail.com.
Kapila JayaratneFamily Health Bureau, Ministry of Health, 231, De Saram Place, Colombo 10, Sri Lanka. kapjay613@gmail.com.
Cynthia Pileggi-CastroDepartment of Pediatrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil. cynthiapileggi@gmail.com.
Eduardo Ortiz-PanozoCenter for Population Health Research, National Institute of Public Health, Cuernavaca, Mexico. eduardo.ortiz@insp.mx.
Pisake LumbiganonDepartment of Obstetrics & Gynaecology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand. pisake@kku.ac.th.
Naho MorisakiDivision of Lifecourse Epidemiology, Department of Social Medicine, National Center for Child Health and Development, Tokyo, Japan. morisaki-n@ncchd.go.jp.
Malinee LaopaiboonDepartment of Biostatistics & Demography, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand. laopaiboonmalinee@yahoo.co.uk.
Rintaro MoriDepartment of Health Policy, National Center for Child Health and Development, Tokyo, Japan. rintaromori@gmail.com.
Özge TunçalpUNDP • UNFPA • UNICEF • WHO • World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland. tuncalpo@who.int.
Fang FangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. fangfang19881106@163.com.
Hongping YuSchool of Public Health, Guilin Medical College, Guangxi, China. yhp268@163.com.
João Paulo SouzaDepartment of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil. jpsouza@fmrp.usp.br.
Joshua Peter VogelUNDP • UNFPA • UNICEF • WHO • World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland. vogeljo@who.int.
Jun ZhangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. junjimzhang@gmail.com.
National Center For Child Health and Development · JPShanghai Jiao Tong University · CNKhon Kaen University · THUniversidade de São Paulo · BRWorld Health Organization · CHInstituto Nacional de Salud Pública · MXUniversidade Federal de São Paulo · BR

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundNo 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.

methodsWe 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.

resultsA 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.

conclusionsThe 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.

Indexed as

Maternal MortalityPerinatal MortalityPoverty AreasAdultAfricaAsiaDatabases, FactualFemaleFetal MacrosomiaGestational AgeHumansInfantInfant, NewbornLatin AmericaLogistic ModelsMorbidity

Identifiers

PMID26634821
PMCPMC4669645
OpenAlexW2182978823

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.