Evidence map›Paper›PMID 35156190›Full record

Trial reportActa obstetricia et gynecologica Scandinavica2022

Weight change during the first week of life and a new method for retrospective prediction of birthweight among exclusively breastfed newborns.

George Mtove, Omari Abdul, Fanny Kullberg, Samwel Gesase, Thomas Scheike, Frederik Mølkjaer Andersen, Mwayiwawo Madanitsa, Feiko O Ter Kuile, Michael Alifrangis, John P A Lusingu and 2 more

Registry-linked trialOpen access · diamondAbstract readRandomized Controlled TrialClinical Trial, Phase III
In one paragraph

Trial report in Acta obstetricia et gynecologica Scandinavica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03208179 (IPTp With Dihydroartemisinin-piperaquine and Azithromycin for Malaria, Sexually Transmitted and Reproductive Tract Infections in Pregnancy in High Sulphadoxine-pyrimethamine Resistance Areas in Kenya, Malawi and Tanzania), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 30% 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.

NCT03208179 phase3completednot on this map

IPTp With Dihydroartemisinin-piperaquine and Azithromycin for Malaria, Sexually Transmitted and Reproductive Tract Infections in Pregnancy in High Sulphadoxine-pyrimethamine Resistance Areas in Kenya, Malawi and Tanzania

TypeinterventionalSponsorLiverpool School of Tropical MedicineRan2018 to 2020Enrolled4,680ConditionsPregnancy, Malaria in Pregnancy, MalariaArmsdihydroartemisinin-piperaquine, sulphadoxine-pyrimethamine, dihydroartemisinin-piperaquine plus azithromycin
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Fetal growth and birth weight are independently reduced by malaria infection and curable sexually transmitted and reproductive tract infections in Kenya, Tanzania, and Malawi: A pregnancy cohort study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
    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

12 authors at 4 institutions in 4 countries.

George MtoveNational Institute for Medical Research, Tanga Medical Research Centre, Tanga, Tanzania.ORCID https://orcid.org/0000-0001-5173-0829
Omari AbdulNational Institute for Medical Research, Tanga Medical Research Centre, Tanga, Tanzania.
Fanny KullbergCentre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen and Department of Infectious Diseases, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark.
Samwel GesaseNational Institute for Medical Research, Tanga Medical Research Centre, Tanga, Tanzania.
Thomas ScheikeDepartment of Biostatistics, Institute of Public Health, University of Copenhagen, Copenhagen, Denmark.
Frederik Mølkjaer AndersenDepartment of Biostatistics, Institute of Public Health, University of Copenhagen, Copenhagen, Denmark.
Mwayiwawo MadanitsaMalawi University of Science and Technology, Thyolo, Malawi.
Feiko O Ter KuileDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Michael AlifrangisCentre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen and Department of Infectious Diseases, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark.
John P A LusinguNational Institute for Medical Research, Tanga Medical Research Centre, Tanga, Tanzania.
Daniel T R MinjaNational Institute for Medical Research, Tanga Medical Research Centre, Tanga, Tanzania.
Christentze SchmiegelowCentre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen and Department of Infectious Diseases, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-9360-9741
University of Copenhagen · DKNational Institute for Medical Research · TZLiverpool School of Tropical Medicine · GBMalawi University of Science and Technology · MW

Funding

Medical Research Council MC_PC_MR/P006914/1
6 · The paper itself

Abstract

introductionIdentification of low birthweight and small for gestational age is pivotal in clinical management and many research studies, but in low-income countries, birthweight is often unavailable within 24 h of birth. Newborn weights measured within days after birth and knowledge of the growth patterns in the first week of life can help estimate the weight at birth retrospectively. This study aimed to generate sex-specific prediction maps and weight reference charts for the retrospective estimation of birthweight for exclusively breastfed newborns in a low-resource setting. MATERIAL AND

methodsThis was a prospective cohort study nested in a clinical trial of intermittent preventive treatment in pregnancy for malaria with either dihydroartemisinin-piperaquine with/without azithromycin or sulfadoxine-pyrimethamine in Korogwe District, north-eastern Tanzania (Clinicaltrials.gov: NCT03208179). Newborns were weighed at birth or in the immediate hours after birth and then daily for 1 week. Reference charts, nadir, time to regain weight, and prediction maps were generated using nonlinear mixed-effects models fitted to the longitudinal data, incorporating interindividual variation as random effects. Predictions and prediction standard deviations were computed using a linear approximation approach.

resultsBetween March and December 2019, 513 live newborns with birthweights measured within 24 h of delivery were weighed daily for 1 week. Complete datasets were available from 476 exclusively breastfed newborns. There was a rapid decline in weight shortly after delivery. The average weight loss, time of nadir, and time to regain weight were 4.3% (95% confidence interval [CI] 3.8-4.9) at 27 h (95% CI 24-30) and 105 h (95% CI 91-120) in boys and 4.9% (95% CI 4.2-5.6) at 28 h (95% CI 23-33) and 114 h (95% CI 93-136) in girls, respectively. The data were used to generate prediction maps with 1-h time intervals and 0.05 kg weight increments showing the predicted birthweights and weight-for-age and weight-change-for-age reference charts depicting variation in weight loss from <1 to >10%.

conclusionsThe prediction maps and reference charts can be used by researchers in low-resource settings to retrospectively estimate birthweights using weights collected up to 168 h after delivery, thereby maximizing data utilization. Clinical practitioners can also use the prediction maps to retrospectively classify newborns as low birthweight or small for gestational age.

Indexed as

Breast FeedingFetal Growth RetardationBirth WeightFemaleHumansInfant, NewbornMalePregnancyProspective StudiesRetrospective StudiesWeight Lossexclusive breastfeedinggrowthinfantsNewbornweightweight loss

Identifiers

PMID35156190
PMCPMC9564450
OpenAlexW4213119153

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.