Evidence map›Paper›PMID 33444346›Full record

ArticlePloS one2021

Burden of disease and risk factors for mortality amongst hospitalized newborns in Nigeria and Kenya.

Helen M Nabwera, Dingmei Wang, Olukemi O Tongo, Pauline E A Andang'o, Isa Abdulkadir, Chinyere V Ezeaka, Beatrice N Ezenwa, Iretiola B Fajolu, Zainab O Imam, Martha K Mwangome and 9 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
13.0field-weighted citation impact, top 1% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 10 institutions in 4 countries.

Helen M NabweraLiverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0003-1056-729X
Dingmei WangChildren's Hospital of Fudan University, Minhang District, Shanghai, China.
Olukemi O TongoUniversity College Hospital, Ibadan, Nigeria.
Pauline E A Andang'oMaseno University, Maseno, Kenya.
Isa AbdulkadirAhmadu Bello University Teaching Hospital, Shika, Zaria, Nigeria.
Chinyere V EzeakaLagos University Teaching Hospital, Idi-Araba, Lagos, Nigeria.
Beatrice N EzenwaLagos University Teaching Hospital, Idi-Araba, Lagos, Nigeria.ORCID 0000-0001-7437-3211
Iretiola B FajoluLagos University Teaching Hospital, Idi-Araba, Lagos, Nigeria.ORCID 0000-0003-3045-9616
Zainab O ImamMassey Street Children's Hospital, Lagos, Nigeria.
Martha K MwangomeKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Dominic D UmoruMaitama District Hospital, Maitama, Abuja, Nigeria.
Abimbola E AkindolireUniversity College Hospital, Ibadan, Nigeria.
Walter OtienoMaseno University, Maseno, Kenya.ORCID 0000-0001-5940-1077
Grace M NalwaMaseno University, Maseno, Kenya.
Alison W TalbertKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Ismaela AbubakarLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Nicholas D EmbletonNewcastle University, Newcastle upon Tyne, United Kingdom.
Stephen J AllenLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Neonatal Nutrition Network (NeoNuNet)
Lagos University Teaching Hospital · NGMaseno University · KEKenya Medical Research Institute · KEUniversity College Hospital, Ibadan · NGUniversity of Liverpool · GBAhmadu Bello University Teaching Hospital · NGChildren's Hospital of Fudan University · CNLagos State University Teaching Hospital · NGLiverpool School of Tropical Medicine · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GB

Funding

Medical Research Council MC_PC_MR/R019789/1Wellcome Trust
6 · The paper itself

Abstract

objectiveTo describe the patient population, priority diseases and outcomes in newborns admitted <48 hours old to neonatal units in both Kenya and Nigeria. STUDY

designIn a network of seven secondary and tertiary level neonatal units in Nigeria and Kenya, we captured anonymised data on all admissions <48 hours of age over a 6-month period.

results2280 newborns were admitted. Mean birthweight was 2.3 kg (SD 0.9); 57.0% (1214/2128) infants were low birthweight (LBW; <2.5kg) and 22.6% (480/2128) were very LBW (VLBW; <1.5 kg). Median gestation was 36 weeks (interquartile range 32, 39) and 21.6% (483/2236) infants were very preterm (gestation <32 weeks). The most common morbidities were jaundice (987/2262, 43.6%), suspected sepsis (955/2280, 41.9%), respiratory conditions (817/2280, 35.8%) and birth asphyxia (547/2280, 24.0%). 18.7% (423/2262) newborns died; mortality was very high amongst VLBW (222/472, 47%) and very preterm infants (197/483, 40.8%). Factors independently associated with mortality were gestation <28 weeks (adjusted odds ratio 11.58; 95% confidence interval 4.73-28.39), VLBW (6.92; 4.06-11.79), congenital anomaly (4.93; 2.42-10.05), abdominal condition (2.86; 1.40-5.83), birth asphyxia (2.44; 1.52-3.92), respiratory condition (1.46; 1.08-2.28) and maternal antibiotics within 24 hours before or after birth (1.91; 1.28-2.85). Mortality was reduced if mothers received a partial (0.51; 0.28-0.93) or full treatment course (0.44; 0.21-0.92) of dexamethasone before preterm delivery.

conclusionGreater efforts are needed to address the very high burden of illnesses and mortality in hospitalized newborns in sub-Saharan Africa. Interventions need to address priority issues during pregnancy and delivery as well as in the newborn.

Indexed as

Cost of IllnessAdolescentAdultAsphyxia NeonatorumBirth WeightFemaleGestational AgeHospitalizationHumansInfantInfant MortalityInfant, NewbornIntensive Care Units, NeonatalJaundiceKenyaMale

Identifiers

PMID33444346
PMCPMC7808658
OpenAlexW3120495970

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.