Interventions to Prevent and Manage Infections in Pregnancy
Notice bibliographique
Résumé
BACKGROUND: Care interventions aimed at preventing and treating maternal infections during the gestational period are of paramount importance. Timely immunizations, screening strategies, and management of maternal infections reduce the risk of complications for the developing fetus and play a pivotal role in improving neonatal outcomes. SUMMARY: We aim to summarize evidence for a total of thirteen interventions, pertaining to the prevention and treatment of maternal infections during the antenatal period, from Every Newborn Series published in The Lancet 2014. We identified the most recent systematic reviews, extracted data from each review, and conducted a sub-group meta-analysis for low-income countries and lower-middle-income countries (LMICs) for outcomes relevant to neonatal health. Findings from our papers indicate limited evidence from LMICs, highlighting the pressing need for coordinated efforts to close this gap and strengthen the body of inclusive evidence on prevention and treatment of maternal infections during pregnancy. KEY MESSAGES: Evidence from LMICs suggests that influenza virus vaccination had no effect on stillbirth, preterm birth, small for gestational age, or low birthweight (LBW). Insecticide-treated bed nets in pregnancy reduced the risk of fetal loss and improved the babies' birthweight. Changing a two-dose intermittent preventive treatment (IPTp) regimen to more frequent IPTp dosing decreased the risk of LBW and significantly improved babies' birthweight. Addition of antibacterial antibiotic to the IPTp regimen significantly reduced the risk of LBW. Antibiotic treatments for syphilis and chlamydia had a significant effect on LBW. Treatment of documented periodontal disease during pregnancy reduced the risk of LBW. BACKGROUND: Care interventions aimed at preventing and treating maternal infections during the gestational period are of paramount importance. Timely immunizations, screening strategies, and management of maternal infections reduce the risk of complications for the developing fetus and play a pivotal role in improving neonatal outcomes. SUMMARY: We aim to summarize evidence for a total of thirteen interventions, pertaining to the prevention and treatment of maternal infections during the antenatal period, from Every Newborn Series published in The Lancet 2014. We identified the most recent systematic reviews, extracted data from each review, and conducted a sub-group meta-analysis for low-income countries and lower-middle-income countries (LMICs) for outcomes relevant to neonatal health. Findings from our papers indicate limited evidence from LMICs, highlighting the pressing need for coordinated efforts to close this gap and strengthen the body of inclusive evidence on prevention and treatment of maternal infections during pregnancy. KEY MESSAGES: Evidence from LMICs suggests that influenza virus vaccination had no effect on stillbirth, preterm birth, small for gestational age, or low birthweight (LBW). Insecticide-treated bed nets in pregnancy reduced the risk of fetal loss and improved the babies' birthweight. Changing a two-dose intermittent preventive treatment (IPTp) regimen to more frequent IPTp dosing decreased the risk of LBW and significantly improved babies' birthweight. Addition of antibacterial antibiotic to the IPTp regimen significantly reduced the risk of LBW. Antibiotic treatments for syphilis and chlamydia had a significant effect on LBW. Treatment of documented periodontal disease during pregnancy reduced the risk of LBW.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,049 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».