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Enregistrement W4206907691 · doi:10.22541/au.163500957.72085215/v1

Genital mycoplasma and preterm birth: a difficult puzzle to solve. Letter re: Genital mycoplasma infection and spontaneous preterm birth outcome: a prospective cohort study

2021· preprint· en· W4206907691 sur OpenAlexaffabout
Andrew Kotaska, Lesley Paulette

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineImmunology and Microbiology
ThématiqueReproductive tract infections research
Établissements canadiensUniversity of Manitoba
Organismes subventionnairesnon disponible
Mots-clésBacterial vaginosisUreaplasmaUreaplasma urealyticumMycoplasmaMedicineObstetricsProspective cohort studyMycoplasma hominisSex organMycoplasma genitaliumGynecologyCohortInternal medicineChlamydia trachomatisBiologyMicrobiology

Résumé

récupéré en direct d'OpenAlex

Genital mycoplasma and preterm birth: a difficult puzzle to solve. Letter re: Genital Mycoplasma infection and spontaneous preterm birth outcome: a prospective cohort studySir.In their recent paper, Cunha and colleagues analyzed data from a diverse group of 1349 Brazilian women who participated in a 2011 study evaluating etiological factors associated with preterm birth. 11Cunha GKP, Bastos LB, de Freitas SF, Cavalli RC, Quintana SM. Genital mycoplasma infection and spontaneous preterm birth outcome: a prospective cohort study. BJOG https://doi-org.uml.idm.oclc.org/10.1111/1471-0528.16949 Women were interviewed and examined at 20-25 weeks’ gestation, and cervicovaginal cultures were taken for mycoplasma, ureaplasma, and bacterial vaginosis. Women were followed until delivery, and clinical associations with preterm birth were evaluated. Positive associations were found for shortened cervix and a history of prior preterm birth. No association was found for infection with mycoplasma, ureaplasma, or bacterial vaginosis. They concluded that “genital mycoplasma infection was not a risk of spontaneous preterm birth, even with other abnormal vaginal microbiota conditions.”There is a flaw in their methodology and conclusion. In the original study, women with a positive culture for ureaplasma or mycoplasma were treated with azithromycin, and those with bacterial vaginosis were treated with oral metronidazole. Treatment would have reduced the presence of these pathogens, limiting their ability to cause preterm birth. Accordingly, this study shows that women with treated mycoplasma, ureaplasma or bacterial vaginosis do not have an increased incidence of preterm birth; however, no comment can be made on whether untreated infection causes preterm birth.Presumably the original investigators who performed the study treated women with genital infection because they believed it might prevent preterm birth; and there lies the rub. An observational study using vaginal culture results unavailable until after birth has shown an association between untreated mycoplasma infection and preterm birth.22Foxman B, Wen A, Srinivasan U, et al. Mycoplasma, bacterial vaginosis, associated bacteria BVAB3, race, and risk of preterm birth in a high-risk cohort. Am J Obstet Gynecol 2014;210:226.e1-7. However, in order to determine whether mycoplasma causes preterm birth and whether treatment prevents it, a randomized trial of treatment or placebo in infected women at elevated risk of preterm birth is needed. This may not be easily feasible. Ethically, investigators may be able to demonstrate research equipoise: that we do not yet know whether treatment reduces preterm birth associated with mycoplasma infection. However, women found to have genital mycoplasma who are at increased risk of preterm birth would need to believe that the benefits and harms of treating or not treating are equal. Given the relative safety of antibiotics and the high morbidity of preterm birth, practically, equipoise may be hard to find.In Northern Canada, with high rates of sexually transmitted infections including mycoplasma, we suspect a causal relationship with preterm birth and late miscarriage. Based on observational studies and anecdotal evidence, our practice is to screen women with a history of prior preterm birth, late miscarriage, or short cervix for ureaplasma, mycoplasma, and bacterial vaginosis in the second trimester and treat those who are positive.2,33Taylor-Robinson D, Lamont R. Mycoplasmas in pregnancy. BJOG 2011;118:164–174.,44Morency AM, Bujold E. The Effect of Second-Trimester Antibiotic Therapy on the Rate of Preterm Birth. J Obstet Gynaecol Can 2007;29(1):35–44 We also test women with threatened preterm labour remote from term and treat those who are positive, sometimes with marked reduction in symptoms. In keeping with Taylor-Robinson’s paper, treatment failures with azithromycin used for Mycoplasma hominis have prompted a switch to Clindamycin, whose activity against both mycoplasma and bacterial vaginosis may explain its better performance than metronidazole in the prevention of preterm birth.3,4 We await better evidence, but are not holding our breath.

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)0,007
score de la tête « metaresearch » (Gemma)0,038
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,039

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,038
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,001
Communication savante0,0020,003
Science ouverte0,0030,001
Intégrité de la recherche0,0110,009
Charge utile insuffisante (le modèle a refusé de juger)0,0040,002

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 Opus0,018
Tête enseignante GPT0,282
Écart entre enseignants0,264 · 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'étudeObservationnel
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

Citations0
Publié2021
Routes d'admission2
Résumé présentoui

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