ArticleTrials2019
Non-concealed placebo treatment for menopausal hot flushes: Study protocol of a randomized-controlled trial.
Article in Trials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Non-concealed Placebo Treatment for Menopausal Hot Flushes
Combined N-of-1 Trials to Assess Open-Label Placebo Treatment for Antidepressant Discontinuation Symptoms
Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Trial
- Open-label placebos for menopausal hot flushes: a randomized controlled trial.Scientific reports · 2020Trial
- Article
- The menopause after cancer study (MACS) - A multimodal technology assisted intervention for the management of menopausal symptoms after cancer - Trial protocol of a phase II study.Contemporary clinical trials communications · 2021Article
- [Appearances are not deceptive: clinical evidence and new research approaches to open-label placebo].Der Nervenarzt · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundBeneficial effects of placebos are high in double-blind hot flush trials. Studies in various conditions suggest that honestly prescribed placebos may elicit symptom improvement.
objectiveTo determine whether open label placebo (OLP) treatment is efficacious in alleviating hot flushes among peri- and postmenopausal women. METHODS/
designIn this assessor-blinded, randomized-controlled trial, n = 100 women experiencing five or more daily hot flushes of at least moderate severity and bothersomeness are assigned 1:1 to a 4-week OLP treatment or no treatment. To explore the duration and maintenance of placebo effects, the OLP group is randomized a second time to either discontinue or continue the OLP treatment for another 4 weeks. All participants receive a briefing about placebo effects and study visits at baseline, post-treatment (4 weeks), and follow-up (8 weeks, OLP group only). Qualitative interviews about subjective experiences with the OLP treatment are conducted. Primary outcomes are differences between the OLP and the no-treatment group in the hot flush composite score (frequency × severity), and bothersomeness of hot flushes as assessed with the Hot Flush Rating Scale at post-treatment. Secondary outcomes include hot flush frequency, health-related quality of life, global improvement, and the number of responders at post-treatment. Data are analyzed by fitting (generalized) linear mixed models. An exploratory analysis of maintenance and duration is performed including follow-up data. DISCUSSION: This trial will contribute to the evaluation of OLP treatments in clinical practice and further our understanding about the magnitude of placebo effects in hot flush treatments.
trial registrationClinicaltrials.gov, NCT03838523 . Retrospectively registered on February 12th, 2019. The first patient was enrolled on October 10th, 2018.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.