Evidence map›Paper›PMID 31383692›Full record

Trial reportBMJ open2019

Relative importance of prenatal and postnatal determinants of stunting: data mining approaches to the MINIMat cohort, Bangladesh.

Pernilla Svefors, Oleg Sysoev, Eva-Charlotte Ekstrom, Lars Ake Persson, Shams E Arifeen, Ruchira T Naved, Anisur Rahman, Ashraful Islam Khan, Katarina Selling

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

9 authors at 4 institutions in 3 countries.

Pernilla SveforsWomen's and Children's Health, Uppsala Universitet, Uppsala, Sweden pernilla.svefors@kbh.uu.se.
Oleg SysoevDepartment of Computer and Information Sciences, Linkopings universitet, Linkoping, Sweden.
Eva-Charlotte EkstromWomen's and Children's Health, Uppsala Universitet, Uppsala, Sweden.
Lars Ake PerssonDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, UK.
Shams E ArifeenMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Ruchira T NavedHealth System and Population Studies Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Anisur RahmanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Ashraful Islam KhanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Katarina SellingWomen's and Children's Health, Uppsala Universitet, Uppsala, Sweden.
International Centre for Diarrhoeal Disease Research · BDUppsala University · SELinköping University · SELondon School of Hygiene & Tropical Medicine · GB

Funding

Medical Research Council
6 · The paper itself

Abstract

introductionWHO has set a goal to reduce the prevalence of stunted child growth by 40% by the year 2025. To reach this goal, it is imperative to establish the relative importance of risk factors for stunting to deliver appropriate interventions. Currently, most interventions take place in late infancy and early childhood. This study aimed to identify the most critical prenatal and postnatal determinants of linear growth 0-24 months and the risk factors for stunting at 2 years, and to identify subgroups with different growth trajectories and levels of stunting at 2 years.

methodsConditional inference tree-based methods were applied to the extensive Maternal and Infant Nutrition Interventions in Matlab trial database with 309 variables of 2723 children, their parents and living conditions, including socioeconomic, nutritional and other biological characteristics of the parents; maternal exposure to violence; household food security; breast and complementary feeding; and measurements of morbidity of the mothers during pregnancy and repeatedly of their children up to 24 months of age. Child anthropometry was measured monthly from birth to 12 months, thereafter quarterly to 24 months.

resultsBirth length and weight were the most critical factors for linear growth 0-24 months and stunting at 2 years, followed by maternal anthropometry and parental education. Conditions after birth, such as feeding practices and morbidity, were less strongly associated with linear growth trajectories and stunting at 2 years.

conclusionThe results of this study emphasise the benefit of interventions before conception and during pregnancy to reach a substantial reduction in stunting.

Indexed as

Rural PopulationAdultBangladeshBreast FeedingData MiningFemaleGrowth DisordersHumansIncidenceInfant, NewbornMothersPregnancyYoung Adultepidemiologynutritionpaediatricspublic health

Identifiers

PMID31383692
PMCPMC6687011
OpenAlexW2966462540

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.