Evidence map›Paper›PMID 34158752›Full record

ArticleEthiopian journal of health sciences2021

Neonatal Hyperbilirubinemia treatment by Locally Made Low-Cost Phototherapy Units.

Netsanet Workneh Gidi, Matthias Siebeck

Open access · diamondAbstract read
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Article in Ethiopian journal of health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 2 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Netsanet Workneh GidiJimma University, Jimma, Ethiopia.
Matthias SiebeckMedical Center of the University of Munich (LMU), Germany.
Jimma University · ETLMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperbilirubinemia is a very common finding in neonates and may occasionally cause severe morbidity and even mortality. Severe hyperbilirubinemia is typically treated, either with phototherapy or exchange transfusions. This study assessed the effectiveness of a locally manufactured phototherapy device for reducing serum bilirubin in neonates with severe hyperbilirubinemia.

methodsRetrospective chart review was carried out to assess the outcome of 32 infants who were treated for neonatal hyperbilirubinemia at Jimma Medical Center (JMC) from May, 2017 to April, 2018.

resultsOut of 75 charts reviewed, only 32 had subsequent bilirubin level determination, 18(56.3%) of them were males. The age at which jaundice was noticed and confirmed with plasma bilirubin level was 4 ± 2.7 days (mean±SD). Sepsis was thought to be the cause of hyperbilirubinemia in 13(40.5%) of the cases, while hemolysis from ABO incompatibility or RH incompatibility contributed in 5(15.6%) and 3(9.4) of the infants respectively. The mean (minimum, maximum) level of baseline TSB was 21.4(14, 55) mg/dL. Five infants (15.6%) had exchange transfusions because of extreme hyperbilirubinemia. The duration of phototherapy and decline in TSB were 5.34 ±2.8 days and 2.2±1.5mg/dl/day (mean±SD) respectively. The levels of TSB before and at the end of phototherapy were significantly different (p<0.001).

conclusionAcceptable reduction of TSB was achieved by using locally manufactured PT devices. Benefits included better accessibility and lower price and maintenance costs. High mean baseline TSB was observed, and duration of phototherapy is prolonged which could indicate late diagnosis compared to similar studies.

Indexed as

BilirubinHyperbilirubinemia, NeonatalHumansInfantInfant, NewbornMalePhototherapyRetrospective StudiesBilirubin

Identifiers

PMID34158752
PMCPMC8188098
OpenAlexW3129888088

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Registered trials

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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.