Notice bibliographique
Résumé
Sir, We would like to thank Drs. Caroline H.G. Bastiaenen, Rob A. de Bie and Gerard G.M. Essed for their interest in our work. Bastiaenen et al. comment on our assertion that Dutch data on prevalence of pregnancy-related pelvic girdle pain (PPGP) are lacking. They give an outline of their study in which they examined treatment of pregnancy-related pelvic girdle and/or low back pain. As they stated in their article (1) multiparity plays an important role in etiology and prognosis of pregnancy-related pelvic girdle pain. In their cohort, only 42.3% of included women were pregnant with their first child. Their data were not analysed separately for first and consecutive pregnancies. Participants were recruited both through midwives and gynecologists. In the Netherlands pregnancy and delivery are considered physiological events. Therefore, healthy pregnant women are monitored by midwives or general practitioners. If prior to or during pregnancy or parturition a medical problem occurs, the woman is referred to a gynecologist/obstetrician. In our study we choose to use a clinical model which theoretically generates the least amount of bias, by including only women pregnant with their first child and by recruiting these women through midwifery practices to ensure participation of healthy women. Bastiaenen et al. used in their study a very broad definition on PPGP; pain in the lower back, buttocks, symphysis, groins and/or radiation into the legs. Because there is no consensus on definition nor etiology, and clinical criteria are lacking, this was a good choice. We congratulate the authors on their research in a very large cohort. However, in the present study, we were particularly interested in the prevalence of self reported and so-called “pelvic instability”. As depicted in the introduction of the article, the term pelvic instability is not supported by our group, but was and still is used so extensively in Dutch media and among lay people that we aimed to examine how many women thought of themselves as suffering from this specific problem. As Bastiaenen et al. correctly suggested, this group of women seems to be a selective group within the pregnancy-related pelvic girdle pain group as illustrated by excessive sick leave and loss of mobility compared to women only suffering from back pain. Finally, Bastiaenen et al. mention the use of the Pregnancy Mobility Index (PMI). This mobility scale has been shown to be a reliable and valid questionnaire specifically designed for use during and after pregnancy (2). The PMI was not validated with the Roland Disability Questionnaire, which is a questionnaire designed to measure mobility in a non-pregnant population suffering from back pain. This questionnaire was used, together with the Quebec Back Pain Disability Scale by Bastiaenen et al. (1). Neither questionnaire has been validated in a pregnant population, and consequently had to be adjusted by adding “not applicable” to the answer possibilities and by changing “because of my back pain” to “because of my back and/or pelvic pain”. We agree that in retrospect it would have been interesting to compare all three questionnaires.
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 | 0,004 | 0,041 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,004 | 0,006 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,016 | 0,029 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 0,024 |
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 ».