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Enregistrement W2901542922 · doi:10.1111/1471-0528.15550

Prevention of early‐onset group B streptococcal disease: a pinch of probability is worth a pound of perhaps

2018· letter· en· W2901542922 sur OpenAlexaboutno aff
Mark Turrentine

Notice bibliographique

RevueBJOG An International Journal of Obstetrics & Gynaecology · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueNeonatal and Maternal Infections
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAntibiotic prophylaxisGroup BPopulationDiseaseIncidence (geometry)Observational studyRisk factorPediatricsObstetricsInternal medicineAntibioticsEnvironmental health

Résumé

récupéré en direct d'OpenAlex

An effective screening programme identifies risk factors that increase disease likelihood, and reduces disease development through risk modification or intervention strategies tailored to the population. No screening programme exemplifies this more than the prevention of newborn early-onset group B streptococcal (EOGBS) disease. From the 1990s, guidelines advocated either a risk-based or a screening approach for intrapartum antibiotic prophylaxis. Unfortunately, no randomised trials have evaluated risk factor-based intrapartum antibiotic prophylaxis versus universal screening approaches for the prevention of perinatal GBS infection. A 2002 Centers for Disease Control and Prevention retrospective cohort observational study of more than 600 000 liveborn US infants found a significantly lower risk of EOGBS disease among infants of screened women compared with women managed with the risk-based approach (adjusted risk ratio 0.46; 95% CI 0.36–0.60; Schrag et al NEJM 2002; 347:233–39). As a result, GBS screening guidelines in the USA, Canada, and Australia were revised, and universal culture-based screening of all pregnant women at 35–37 weeks of gestation was recommended. Group B Strep Support reports several medico-legal actions on behalf of infants with GBS disease, 40% of which were due to a failure of intrapartum prophylaxis in the presence of known GBS risk factors. Currently in the UK, routine antepartum screening for GBS is not recommended (Hughes et al. BJOG 2017;124:e280–e305). Despite the implementation of a risk-based prevention approach in 2003, the incidence of EOGBS disease has not changed (0.57/1000 in 2015 versus 0.48/1000 live births in 2000). This may in part result from the fact that only a small proportion of newborns with EOGBS disease will have risk factors that trigger intrapartum GBS prophylaxis (for example, 35% in the most recent survey from the UK; British Paediatric Surveillance Unit Annual Report 2015–2016;2016:10–12). Thus even the perfect implementation of a risk-based approach is not likely to lead to decreases in the incidence of disease as pronounced as those attained with universal screening. Thus, one might conclude that more widespread antibiotic prophylaxis leads to improved prevention of neonatal GBS infection. So why is universal screening not recommended in the UK? When contemplating a therapy to prevent disease burden, the potential adverse effects of an intervention and the number of individuals to be treated are important considerations. Maternal antibiotic reactions, the development of antibiotic-resistant bacteria, the impact on the infant microbiome, and healthcare expenditure must be viewed as balancing measures when choosing prevention strategies for EOGBS disease. The number needed to treat in order to prevent a disease is inversely proportional to the baseline risk of the disease in the target population: as disease prevalence increases, fewer individuals will need to be treated to prevent one case. Thus, in the UK (EOGBS rate 0.57/1000 live births) universal screening would require approximately 2200 women be treated to prevent one EOGBS case [The UK National Screening Committee (UK NSC) recommendation on Group B Streptococcus screening in pregnancy; 2017] versus 1200 women in Australia (EOGBS rate 0.84/1000 live births; Angstetra et al. Aust NZ J Obstet Gynaecol 2007;47:378–82). National policies must balance the benefits and consequences of preventive strategies for EOGBS disease and choose which strategy best suits particular populations. The current approach in the UK is not reducing the risk of EOGBS disease, so a decision must be made about what to do next. Paraphrasing the words of the author James Thurber, both society and the individual will have to weigh whether the pinch of probability is worth the pound of perhaps. None declared. Completed disclosure of interests form available to view online as supporting information. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,044
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,034
Tête enseignante GPT0,320
Écart entre enseignants0,287 · 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 tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2018
Routes d'admission1
Résumé présentoui

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