Evidence map›Paper›PMID 33292804›Full record

ArticleTropical medicine and health2020

Prevalence and factors associated with neonatal hypoglycemia in Northern Uganda: a community-based cross-sectional study.

David Mukunya, Beatrice Odongkara, Thereza Piloya, Victoria Nankabirwa, Vincentina Achora, Charles Batte, James Ditai, Thorkild Tylleskar, Grace Ndeezi, Sarah Kiguli and 1 more

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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  5. Neonatal hypoglycaemia.BMJ medicine · 2024
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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

11 authors at 5 institutions in 2 countries.

David MukunyaSanyu Africa Research Institute, Mbale, Uganda. zebdaevid@gmail.com.ORCID http://orcid.org/0000-0002-3892-9777
Beatrice OdongkaraDepartment of Pediatrics, University of Gulu, Gulu, Uganda.
Thereza PiloyaDepartment of Pediatrics and Child Health, Makerere University, Kampala, Uganda.
Victoria NankabirwaCenter for Intervention Science in Maternal and Child Health (CISMAC), Center for International Health, University of Bergen, Bergen, Norway.
Vincentina AchoraDepartment of Obstetrics and Gynecology, University of Gulu, Gulu, Uganda.
Charles BatteLung Institute, Makerere University, Kampala, Uganda.
James DitaiSanyu Africa Research Institute, Mbale, Uganda.
Thorkild TylleskarCenter for Intervention Science in Maternal and Child Health (CISMAC), Center for International Health, University of Bergen, Bergen, Norway.
Grace NdeeziDepartment of Pediatrics and Child Health, Makerere University, Kampala, Uganda.
Sarah KiguliDepartment of Pediatrics and Child Health, Makerere University, Kampala, Uganda.
James K TumwineDepartment of Pediatrics and Child Health, Makerere University, Kampala, Uganda.
Makerere University · UGGulu University · UGUniversity of Bergen · NOBusitema University · UGSanyu Africa Research Institute · UG

Funding

Training in noncommunicable diseases epidemiological, data science and Implementation Science research to strengthen evidence-based interventions, policy and control in Uganda.D43TW011401 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI Charles Batte, William Checkley · 2019 to 2026
$1.8M
FIC NIH HHS D43 TW011401Fogarty International Center of the National Institutes of Health D43TW011401Survival Pluss project, funded by The Norwegian Program for Capacity Development in Higher Education and Research for Development (NORHED) under The Norwegian Agency for Development Cooperation (NORAD). UGA-13-0030
6 · The paper itself

Abstract

backgroundNeonatal hypoglycemia is the most common endocrine abnormality in children, which is associated with increased morbidity and mortality. The burden and risk factors of neonatal hypoglycemia in rural communities in sub-Saharan Africa are unknown.

objectiveTo determine the prevalence and risk factors for neonatal hypoglycemia in Lira District, Northern Uganda.

methodsThis was a community-based cross-sectional study, nested in a cluster randomized controlled trial designed to promote health facility births and newborn care practices in Lira District, Northern Uganda. This study recruited neonates born to mothers in the parent study. Random blood glucose was measured using an On Call® Plus glucometer (ACON Laboratories, Inc., 10125 Mesa Road, San Diego, CA, USA). We defined hypoglycemia as a blood glucose of < 47 mg/dl. To determine the factors associated with neonatal hypoglycemia, a multivariable linear regression mixed-effects model was used.

resultsWe examined 1416 participants of mean age 3.1 days (standard deviation (SD) 2.1) and mean weight of 3.2 kg (SD 0.5). The mean neonatal blood glucose level was 81.6 mg/dl (SD 16.8). The prevalence of a blood glucose concentration of < 47 mg/dl was 2.2% (31/1416): 95% CI 1.2%, 3.9%. The risk factors for neonatal hypoglycemia were delayed breastfeeding initiation [adjusted mean difference, - 2.6; 95% CI, - 4.4, - 0.79] and child age of 3 days or less [adjusted mean, - 12.2; 95% CI, - 14.0, - 10.4].

conclusionThe incidence of neonatal hypoglycemia was low in this community and was predicted by delay in initiating breastfeeding and a child age of 3 days or less. We therefore suggest targeted screening and management of neonatal hypoglycemia among neonates before 3 days of age and those who are delayed in the onset of breastfeeding.

Indexed as

BreastfeedingEndocrinologyHypoglycemiaNeonatal careNewborn care

Identifiers

PMID33292804
PMCPMC7640646
OpenAlexW3095713133

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.