Development of a core outcome set for treatment studies for provoked vestibulodynia.

BACKGROUND: There is an inconsistency in treatment outcomes used in clinical trials for provoked vestibulodynia (PVD), which makes it impossible to compare the effects of different interventions. AIM: In this study, we completed the first step in creating a core outcome set (COS), defining what outcomes should be measured in clinical trials for PVD. METHODS: Identification of outcomes used in studies was done by extracting data from clinical trials in a recently published systematic review and via review of clinical trials for PVD registered on ClinicalTrials.gov. The COS process consisted of 2 rounds of Delphi surveys and a consensus meeting, during which the final COS was decided through a modified nominal group technique. OUTCOMES: Consensus on what outcomes to include in a COS for PVD. RESULTS: Forty scientific articles and 92 study protocols were reviewed for outcomes. Of those, 36 articles and 25 protocols were eligible, resulting in 402 outcomes, which were then categorized into 63 unique outcomes. Participants consisted of patients, relatives/partners of patients, health care professionals, and researchers. Out of 463 who registered for participation, 319 and 213 responded to the first and second surveys, respectively. The consensus meeting consisted of 18 members and resulted in 6 outcomes for the COS to be measured in all treatment trials regardless of intervention: insertional pain (nonsexual), insertional pain (sexual), provoked vulvar pain by pressure/contact, pain-related interference on one's life, pain interference on sexual life, and sexual function. CLINICAL IMPLICATIONS: Critical outcomes to be measured in clinical trials will allow for accurate comparison of outcomes across treatment interventions and provide solid treatment recommendations. STRENGTHS AND LIMITATIONS: The major strengths of the study are the adherence to methodological recommendations and the intentional focus on aspects of diversity of participating stakeholders (eg, status such as patients with lived experience and researchers, inclusiveness with respect to sexual identity), the latter of which will allow for broader application and relevance of the COS. Among the limitations of the study are the low rate of participants outside North America and Europe and the lower response rate (about 50%) for the second Delphi survey. CONCLUSION: In this international project, patients, health care professionals, and researchers have decided what critical outcomes are to be used in future clinical trials for PVD. Before the COS can be fully implemented, there is also a need to decide on how and preferably when the outcomes should be measured.

New insights on labor progression: a systematic review.

The past 20 years witnessed an invigoration of research on labor progression and a change of thinking regarding normal labor. New evidence is emerging, and more advanced statistical methods are applied to labor progression analyses. Given the wide variations in the onset of active labor and the pattern of labor progression, there is an emerging consensus that the definition of abnormal labor may not be related to an idealized or average labor curve. Alternative approaches to guide labor management have been proposed; for example, using an upper limit of a distribution of labor duration to define abnormally slow labor. Nonetheless, the methods of labor assessment are still primitive and subject to error; more objective measures and more advanced instruments are needed to identify the onset of active labor, monitor labor progression, and define when labor duration is associated with maternal/child risk. Cervical dilation alone may be insufficient to define active labor, and incorporating more physical and biochemical measures may improve accuracy of diagnosing active labor onset and progression. Because the association between duration of labor and perinatal outcomes is rather complex and influenced by various underlying and iatrogenic conditions, future research must carefully explore how to integrate statistical cut-points with clinical outcomes to reach a practical definition of labor abnormalities. Finally, research regarding the complex labor process may benefit from new approaches, such as machine learning technologies and artificial intelligence to improve the predictability of successful vaginal delivery with normal perinatal outcomes.