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Enregistrement W2743610259 · doi:10.1111/apa.13933

Identifying the true scale of perinatal deaths

2017· letter· en· W2743610259 sur OpenAlexaboutno aff
Mikael Norman

Notice bibliographique

RevueActa Paediatrica · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueNeonatal Respiratory Health Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineIntensive careNeonatal intensive care unitPsychological interventionPediatricsInfant mortalityEpidemiologyEmergency medicineIntensive care medicinePopulationEnvironmental healthNursing

Résumé

récupéré en direct d'OpenAlex

The survival of sick and preterm infants is an important outcome in many studies of neonatal intensive care 1-3. Infant survival rates are commonly compared to identify time-trends and to benchmark hospitals, regions and even countries 4. These statistics are also vital when evaluating the capacity and performance of the healthcare system 5, as well as primary outcomes in trials that look at the safety, effectiveness and efficacy of perinatal and neonatal interventions 6, 7. The problem is that a varying, and often unknown, proportion of perinatal and neonatal deaths occur outside the neonatal intensive care unit (NICU), which could make interpreting perinatal statistics more or less difficult. In this issue of Acta Paediatrica, Du Pont-Thibodeau et al. from Montreal present data on the timing and modes of perinatal deaths outside the NICU in a Canadian tertiary centre and over two, three-year periods between 2000 and 2010 8. The team reviewed 444 cases of perinatal deaths that took place at 22 or more weeks of gestation without a NICU admission. This showed that the total number of perinatal deaths outside the NICU increased, as did foeticides for congenital anomalies. However, there were also decreases in stillbirths after hospital admission and deaths following induced labour and comfort care for foetal anomalies. The authors concluded that paediatricians should be aware of the epidemiology of perinatal mortality in their own practice, as it has a direct impact on the denominator in NICU outcome studies. My view is that researchers should be equally aware of this. Although the authors acknowledged limitations in the generalisability of their findings to other settings, the paper by Du Pont-Thibodeau et al. is still important for the rest of us. It highlights denominator bias, namely the higher survival rates that are reported when only live infants admitted to the NICU form the denominator as opposed to when either all live births or all births are used 9. The magnitude of problem is well illustrated by the authors’ findings that an average of one or two perinatal deaths occurred every week outside the NICU in infants of 22 weeks of gestation or more. The majority (77%) of cases involved congenital malformations, of which an increasing proportion – 41% in the most recent study period – ended as foeticides and late terminations of pregnancies. As a Scandinavian, I note that the Canadian findings illustrate some legal and ethical disparities between countries. For example, late terminations are very rare in Sweden and foeticide is not permitted at 22 weeks of gestation or more. Likewise, termination and foeticide or induced labour because of an increased risk of prematurity, or induced labour for psychological reasons with comfort care at birth 8, would not be an option at 22 weeks of gestation or more. Therefore, it would be interesting to compare the rates of malformations among extremely preterm infants born alive. In the Extremely Preterm Infants in Sweden Study (EXPRESS), congenital anomalies were reported to affect 12% of live born infants 1, whereas the proportion of live born infants and their contributions to outcomes have been less clear in other studies 3. Other categories of perinatal deaths outside the NICU include neonatal deaths at home, after hospital discharge, and deaths occurring before or during transfers from peripheral hospitals. These cases seem to be unaccounted for in the paper by Du Pont-Thibodeau et al. In addition to deaths outside the NICU, the practice of withdrawing intensive care in the NICU is known to vary significantly between countries and regions, which may also contribute to variations in overall survival rates. EXPRESS researchers reported that 40% of deaths that occurred at least 24 hours after NICU admission involved a decision to withdraw intensive care on the basis of anticipated poor long-term prognosis 1. The present study by Du Pont-Thibodeau et al. sheds light on hidden and unknown perinatal deaths. In 2016, an expert panel published recommendations for future publications on how to improve reporting of survival after preterm birth and communicate outcomes more clearly 10. Please follow them!

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,024
score de la tête « metaresearch » (Gemma)0,133
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,129

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0240,133
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,005
Études des sciences et des technologies0,0010,002
Communication savante0,0030,005
Science ouverte0,0020,004
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,059
Tête enseignante GPT0,371
Écart entre enseignants0,312 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2017
Routes d'admission1
Résumé présentoui

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