Evidence map›Paper›PMID 28466569›Full record

Trial reportMaternal & child nutrition2018

Energy and nutrient intake increased by 47-67% when amylase was added to fortified blended foods-a study among 12- to 35-month-old Burkinabe children.

Nynke A Kampstra, Nguyen Van Hoan, Damiet J P C Koenders, Rotraut Schoop, Britt C Broersen, Claire Mouquet-Rivier, Tahirou Traoré, Maaike J Bruins, Saskia de Pee

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Maternal & child nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. 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 4 countries.

Nynke A KampstraWorld Food Programme, Rome, Italy.ORCID 0000-0001-8789-3291
Nguyen Van HoanWorld Food Programme, Rome, Italy.
Damiet J P C KoendersDSM Biotechnology Center, Delft, The Netherlands.
Rotraut SchoopDSM Nutritional Products, Kaiseraugst, Switzerland.
Britt C BroersenWorld Food Programme, Rome, Italy.
Claire Mouquet-RivierInstitut de Recherche pour le Développement, Montpellier, France.
Tahirou TraoréProfessionnels du développement solidaire, Ouagadougou, Burkina Faso.
Maaike J BruinsDSM Biotechnology Center, Delft, The Netherlands.
Saskia de PeeWorld Food Programme, Rome, Italy.
World Food Programme · ITDSM (Netherlands) · NLDSM (Switzerland) · CHInstitut de Recherche pour le Développement · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adding amylase to fortified blended foods can improve energy density, and increase child's energy and nutrient intake. The efficacy of this strategy is unknown for the World Food Programme's Super Cereal Plus (SC+) and Super Cereal (SC) blends. The primary goal of this study was to investigate the increased energy intake from amylase-containing SC+ and SC compared to control porridges in Burkinabe children. Secondly, energy intake from amylase-containing porridges compared to CERELAC

Indexed as

Energy IntakeFood, FortifiedAmylasesBurkina FasoCaregiversChild, PreschoolCross-Over StudiesDouble-Blind MethodEatingEdible GrainFood AssistanceFood PreferencesHumansInfantInfant FoodInfant Nutritional Physiological PhenomenaAmylasesamylasecomplementary feedingenergy intakefortified blended foodsinfant and child nutritionSuper CerealSuper Cereal Plus

Identifiers

PMID28466569
PMCPMC5763388
OpenAlexW2610396887

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.