ReviewJournal of pain research2022
Study Design Characteristics and Endpoints for Enriched Enrollment Randomized Withdrawal Trials for Chronic Pain Patients: A Systematic Review.
Review in Journal of pain research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Physical exercise improved muscle strength and pain on neck and shoulder in military pilots.Frontiers in physiology · 2022Pooled it
- The Analgesic Efficacy and Safety of Intramuscular Hydromorphone Versus Butorphanol for Acute Pain in the Emergency Department: A Randomized Trial.Pain research & management · 2026Trial
- Methodological considerations for analyzing enriched enrolment randomized withdrawal trials.Clinics (Sao Paulo, Brazil) · 2026Article
- Clinical and electromyographic signals analysis about the effect of space-adjustment splint on overerupted maxillary molars.BMC oral health · 2024Article
- Efficacy and safety of vixotrigine in idiopathic or diabetes-associated painful small fibre neuropathy (CONVEY): a phase 2 placebo-controlled enriched-enrolment randomised withdrawal study.EClinicalMedicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Enriched enrollment randomized withdrawal (EERW) pain trials are designed to include only responders with considerable pain relief without unacceptable side effects into the randomized phase. There are no recommendations for primary endpoints in such trials. Our objective was to propose recommendations based on assessment of trial characteristics, endpoints and effect sizes in EERW pain trials. We conducted a systematic review by searching electronic databases up to June 2020 for EERW trials comparing an analgesic with a placebo in adults suffering from chronic pain. A total of 28 trials met our criteria, involving 13662 patients in the open or single-blind phase and 7937 patients in the double-blind phase. As primary endpoint 18 trials used pain intensity measured with the visual analogue scale (VAS) or the 11-point numerical rating scale (NRS); 1 trial used a 4-point NRS. Loss of therapeutic response (LTR) was used in 1 trial and time to LTR was used in 8 trials as primary endpoint. Definitions of time to LTR differed considerably between trials. Only 2 out of 8 trials using time to LTR as primary endpoint reported the percentage of patients experiencing a minimum pain relief of 50%, compared to 14 out of 18 trials using NRS or VAS. Due to the complexity and diversity of time to LTR in EERW pain trials, we propose to use the NRS as primary endpoint with conservative imputation methods, and to use time to LTR as secondary endpoint.
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.