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Enregistrement W7074147010

Re-evaluation of link between interpregnancy interval and adverse birth outcomes: Retrospective cohort study matching 2 intervals per mother

2014· other· en· W7074147010 sur OpenAlexaff

Notice bibliographique

RevueUWA Profiles and Research Repository (UWA) · 2014
Typeother
Langueen
DomaineMedicine
ThématiqueGestational Trophoblastic Disease Studies
Établissements canadiensCentre for Global Health Research
Organismes subventionnairesnon disponible
Mots-clésRetrospective cohort studyInterval (graph theory)Matching (statistics)Confidence intervalCohort studyAdverse effect
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The time interval between pregnancies is a modifiable risk factor of adverse birth outcomes, including preterm birth, small for gestational age (SGA), and low birth weight. Variations in birth outcomes might be explained by risk factors that vary greatly among women but tend to persist between pregnancies (eg, genetics, lifestyle, or social conditions). Among women who have had 3 births, each mother can be her own control for risk factors that affect outcomes. This retrospective cohort study was performed to examine the effect of interpregnancy interval after adjusting for maternal factors by using within-mother analyses. The association between interpregnancy interval and the incidence of preterm birth, SGA, and low birth weight among the second and third births was determined using data from a population-wide database. Among 84,151 mothers, 40,441 all had their first 3 births as live singletons during 1980 to 2010. Outcome variables were preterm birth (<37 weeks), SGA, and low birth weight (<2500 g). Interpregnancy intervals (in months) were 0 to 5, 6 to 11, 12 to 17, 18 to 23 (reference category), 24 to 59, 60 to 119, and 120 or longer. A maternally matched design was used to model the odds of preterm birth, SGA, and low birth weight as a function of interpregnancy interval. Conditional logistic regression was used to measure this association for an individual woman, which allowed inferences based only on within-mother effects. Confounding factors that can vary between births and affect interpregnancy interval were maternal age, parity, birth year, ethnicity, socioeconomic status, and outcome of the previous birth. The terms matched and unmatched referred to the within-mother design based on conditional and unconditional logistic regression, respectively. Among the 40,441 pairs of second and third births, matched by mother, the mean incidence rates for preterm birth, SGA, and low birth weight for second births were 5.3%, 7.4%, and 3.5%, respectively. For third births, the rates were 5.8%, 6.3%, and 3.6%, respectively. Unconditional logistic regression suggested a strong effect of short interpregnancy interval on the incidence of preterm birth and low birth weight but not SGA, after adjustment for confounders. Among interpregnancy intervals of less than 18 to 23 months, the highest odds ratios (ORs) for preterm birth (adjusted OR [aOR], 1.41; 95% confidence interval [CI], 1.31–1.51) and low birth weight (aOR, 1.26; 95% CI, 1.15–1.37) were for intervals of 0 to 5 months. The incidence of SGA birth was similar across 0 to 23 months, with ORs ranging from 0.98 to 1.03. Among interpregnancy intervals of more than 18 to 23 months, the highest OR of preterm birth (aOR, 1.35; 95% CI, 1.26–1.45) was 60 to 119 months; the highest ORs of low birth weight (aOR, 1.67; 95% CI, 1.42–1.97) and SGA (aOR, 1.98; 95% CI, 1.74–2.24) were for intervals of more than 119 months. In the matched model, among intervals of less than 18 to 23 months, the highest ORs of preterm birth (aOR, 1.07; 95% CI, 0.86–1.34) and low birth weight (aOR, 1.03; 95% CI, 0.79–1.34) were for 0 to 5 months. The OR for SGA was estimated at 1.08 for all 3 categories of interpregnancy intervals of less than 18 months. For preterm birth at intervals of more than 23 months, ORs ranged from 1.01 (0.86–1.18) for 24 to 59 months to 0.88 (0.54–1.46) for more than 119 months. For intervals of more than 23 months, ORs for low birth weight ranged from 1.07 (0.88–1.30) for 24 to 59 months to 1.58 (0.82–3.06) for more than 119 months. Odds ratios for SGA ranged from 1.11 (0.96–1.28) for 24 to 59 months to 1.72 (1.04–2.85) for intervals of more than 119 months. These results do not support the concept of a causal effect of short interpregnancy interval on adverse birth outcomes. However, short interpregnancy interval remains a strong predictor of the risk for adverse birth outcomes, but correlated maternal risk factors must be considered. Clinicians should treat a short interpregnancy interval as a possible risk of adverse birth outcomes but remain aware of other maternal risk factors.

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)0,008
score de la tête « metaresearch » (Gemma)0,027
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,058

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,027
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0020,004
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,042
Tête enseignante GPT0,375
Écart entre enseignants0,333 · 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
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

Citations0
Publié2014
Routes d'admission1
Résumé présentnon

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