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Enregistrement W2177844438 · doi:10.1213/ane.0000000000000878

Methodologic Concerns Regarding a Study Concluding That Epidural Labor Analgesia Is Associated with a Decreased Risk of Postpartum Depression

2015· letter· en· W2177844438 sur OpenAlexaffabout
Kathleen H. Chaput, Angela Vinturache

Notice bibliographique

RevueAnesthesia & Analgesia · 2015
Typeletter
Langueen
DomaineMedicine
ThématiqueMaternal Mental Health During Pregnancy and Postpartum
Établissements canadiensAlberta Children's HospitalUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésMedicineDepression (economics)Observational studyContraindicationPostpartum depressionMoodConfoundingIncidence (geometry)Intensive care unitNeonatal intensive care unitProspective cohort studyPregnancyPediatricsObstetricsPsychiatrySurgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

To the Editor We advance the following concerns with the observational study of epidural analgesia and postpartum depression (PPD) by Ding et al.1: Inadequately Addressed Bias Misclassification bias: Although defined as such, the study by Ding et al.1 does not meet the definition of a prospective cohort, because their sample was not depression-free at the time of exposure. The authors do not estimate the magnitude and direction of this misclassification bias on their findings. Given that the prevalence of depression is 20% among Chinese women, and that depressed women are less likely to advocate for pain control, the study results could be moderately biased toward a protective effect. Selection bias: Obese subjects were excluded without clear justification. Obesity is not a contraindication for epidural analgesia and is actually associated with an increased incidence of epidural and a greater risk of PPD.2–8 The study reports a negative association between epidural analgesia and PPD. Given the proportion of obese women who were excluded (35% of the final sample size), there may be substantial bias in the direction of a significant protective association between epidural analgesia and PPD. Second, the authors present a greater loss to follow-up among the epidural group than the nonepidural group (24 vs 13). The reasons cited for this differential loss include known risk factors for PPD, namely, “too tired after delivery” and “bad mood because infant in the neonatal intensive care unit.” Evidence shows that mothers of infants admitted to neonatal intensive care unit have greater-than-average rates of depression and anxiety.9–14 It is well established that patients with depression are more likely to be lost to follow-up. In Chinese society, the family makes medical decisions rather than the individual. Thus, the family’s refusal to continue with the study could reflect their concern for the mother’s mental health. We estimate that a greater proportion of depressed mothers were lost from the exposed group than the unexposed group, which further biases the study results, in the direction of a protective effect. Uncontrolled Confounding Appropriate confounding control is essential in observational studies.15 By definition, a confounder has a demonstrated association with both exposure and outcome.16,17 The forward elimination method used by the investigators identifies variables associated with the outcome only. This may lead to discarding important confounders and including variables that cannot confound. A backward elimination process is a more rigorous method because all potential confounders are included in the initial model and then eliminated on the basis of significant effects.18 It is possible that the author’s method has led to uncontrolled confounding, which may further affect the results.15,19 Ding et al.1 present their study as an initial step in assessing the association between epidural and PPD, calling for further research using larger samples. We would add to this insightful recommendation that a depression-free sample be recruited at delivery, that obese women not be excluded, and that a complete set of potential confounders be included in an analysis using appropriate methods.15,19 Given the potential impact of this study on clinical practice, its conclusions should be interpreted with caution. Kathleen H. Chaput, PhD Department of Paediatrics Alberta Children’s Hospital Research Institute for Child and Maternal Health Cumming School of Medicine University of Calgary Calgary, Alberta, Canada [email protected] Angela Vinturache, MD, PhD Department of Paediatrics Cumming School of Medicine University of Calgary Calgary, Alberta, Canada

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)0,211
score de la tête « metaresearch » (Gemma)0,611
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,789
Score d'incertitude au seuil0,972

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,2110,611
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0050,003
Bibliométrie0,0060,006
Études des sciences et des technologies0,0020,005
Communication savante0,0050,003
Science ouverte0,0070,002
Intégrité de la recherche0,0120,010
Charge utile insuffisante (le modèle a refusé de juger)0,0070,002

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 Opus0,085
Tête enseignante GPT0,342
Écart entre enseignants0,257 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
DomaineMéthodes
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

Citations6
Publié2015
Routes d'admission2
Résumé présentoui

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