Effect of preconception antibiotics exposure on female reproductive health and pregnancy outcomes: a systematic review and meta-analysis
Notice bibliographique
Résumé
Background The preconception period is a window of opportunity to influence maternal and pregnancy outcomes. Inappropriate use of antibiotics results in gut dysbiosis and may affect host reproductive health through multiple dimensions. Animal studies demonstrate that antibiotic treatment profoundly affects ovarian functions and the estrous cycle, and it has a direct implication for infertility. Infertility was defined as the inability to conceive after 12 months of unprotected intercourse. However, whether antibiotic exposure in the preconception period influences female fertility, miscarriage, and congenital malformation remains obscure and controversial. Methods A systematic review and meta-analysis until April 20, 2024, was conducted by searching PubMed, Web of Science, Scopus, and Science Direct without restrictions to designs and language. The risk of bias was assessed by two independent reviewers using the Newcastle Ottawa Scale (NOS) and the Risk of Bias 2 (RoB-2) tools. The report followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relative risks (RR), odds ratios (OR), and fecundability ratios (FR) with a 95% confidence interval (CI) were effect size measures determined with a random effect model. Heterogeneity across included studies was assessed using I 2 , T2, and H 2 . The review protocol is registered in PROSPERO, CRD42024515680. Findings Fifteen studies with a total of 1,206,583 participants were included. Preconception exposure to macrolides reduced the FR by 35% (FR: 0.65, 95% CI: 0.48, 0.88, P < 0.001). Sulfonamide users were also at 2.35 times (OR:2.35, 95% CI: 1.86, 2.97; P < 0.001) more risk of developing infertility. Using beta-lactams other than penicillin G reduced the odds of infertility by 64% (OR: 0.36, 95% CI: 0.26,0.50; P < 0.001). The possibility of infertility among quinolone users was 13% lower (OR: 0.87, 95% CI: 0.77, 0.99; P = 0.03) than non-users. Preconception antibiotics exposure increased the risk of spontaneous miscarriage by 34% (RR: 1.34, 95% CI: 1.16, 1.53; P < 0.001). Moreover, trimethoprim intake also increased the odds of congenital malformations by 85% (OR:1.85, 95% CI: 1.54, 2.23; P < 0.001). Interpretation Preconception antibiotics exposure in females increases the risk of infertility, miscarriage, and congenital anomalies. Macrolides, sulfonamides, and trimethoprim increase the risk of infertility, spontaneous miscarriage, and congenital malformation while beta-lactams and quinolones reduce the risk. Clinicians, pregnancy planners, and health care policymakers should be warranted for pregnancy needs and success. Further clinical and mechanistic studies are required to illustrate their specific functions and cause effects. Funding Funded by Leading Discipline Development Fund (No. 403947), The Second Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine; and The Hong Kong Obstetrical and Gynaecological Trust Fund.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,020 | 0,002 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».