Evidence map›Paper›PMID 34460846›Full record

Observational studyPloS one2021

"Assessing Today for a Better Tomorrow": An observational cohort study about quality of care, mortality and morbidity among newborn infants admitted to neonatal intensive care in Guinea.

Maria Bea Merscher Alves, N'Fanly Conté, Boubacar Diallo, Moustapha Mamadou, Albert Delamou, Oliver John, Stefanie von Felten, Ibrahima Sory Diallo, Matthias Roth-Kleiner

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 87% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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 2 institutions in 1 country.

Maria Bea Merscher AlvesPediatric and Neonatal Intensive Care Unit, Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-6953-4225
N'Fanly ContéClinic of Neonatology, Institute of Nutrition and Child Health, Conakry, Guinea.
Boubacar DialloClinic of Neonatology, Institute of Nutrition and Child Health, Conakry, Guinea.
Moustapha MamadouClinic of Neonatology, Institute of Nutrition and Child Health, Conakry, Guinea.
Albert DelamouClinic of Neonatology, Institute of Nutrition and Child Health, Conakry, Guinea.
Oliver JohnMaster Program in Biostatistics, University of Zurich, Zurich, Switzerland.
Stefanie von FeltenDepartment of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-5264-6394
Ibrahima Sory DialloClinic of Neonatology, Institute of Nutrition and Child Health, Conakry, Guinea.
Matthias Roth-KleinerDepartment Woman-Mother-Child, Clinic of Neonatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
University of Zurich · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeonatal mortality in Guinea accounts for about 30% of all fatalities in children younger than five years. Countrywide, specialized neonatal intensive care is provided in one single clinic with markedly limited resources. To implement targeted measures, prospective data on patient characteristics and factors of neonatal death are needed.

objectiveTo determine the rates of morbidity and mortality, to describe clinical characteristics of admitted newborns requiring intensive care, to assess the quality of disease management, and to identify factors contributing to neonatal mortality.

methodsProspective observational cohort study of newborns admitted to the hospital between mid-February and mid-March 2019 after birth in other institutions. Data were collected on maternal/prenatal history, delivery, and in-hospital care via convenience sampling. Associations of patient characteristics with in-hospital death were assessed using cause-specific Cox proportional-hazards models.

resultsHalf of the 168 admitted newborns underwent postnatal cardiopulmonary resuscitation. Reasons for admission included respiratory distress (49.4%), poor postnatal adaptation (45.8%), prematurity (46.2%), and infections (37.1%). 101 newborns (61.2%) arrived in serious/critical general condition; 90 children (53.9%) showed clinical signs of neurological damage. Quality of care was poor: Only 59.4% of the 64 newborns admitted with hypothermia were externally heated; likewise, 57.1% of 45 jaundiced infants did not receive phototherapy. Death occurred in 56 children (33.3%) due to birth asphyxia (42.9%), prematurity (33.9%), and sepsis (12.5%). Newborns in serious/critical general condition at admission had about a fivefold higher hazard to die than those admitted in good condition (HR 5.21 95%-CI 2.42-11.25, p = <0.0001). Hypothermia at admission was also associated with a higher hazard of death (HR 2.00, 95%-CI 1.10-3.65, p = 0.023).

conclusionNeonatal mortality was strikingly high. Birth asphyxia, prematurity, and infection accounted for 89.3% of death, aggravated by poor quality of in-hospital care. Children with serious general condition at admission had poor chances of survival. The whole concept of perinatal care in Guinea requires reconsideration.

Indexed as

HospitalizationInfant MortalityCohort StudiesDelivery, ObstetricFemaleGeographyGuineaHealth Status IndicatorsHumansIncidenceInfantInfant, NewbornIntensive Care Units, NeonatalMaternal HealthMorbidityProportional Hazards Models

Identifiers

PMID34460846
PMCPMC8405010
OpenAlexW3196545411

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.