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Research design considerations for chronic pain prevention clinical trials: IMMPACT recommendations.

ABSTRACT: Although certain risk factors can identify individuals who are most likely to develop chronic pain, few interventions to prevent chronic pain have been identified. To facilitate the identification of preventive interventions, an IMMPACT meeting was convened to discuss research design considerations for clinical trials investigating the prevention of chronic pain. We present general design considerations for prevention trials in populations that are at relatively high risk for developing chronic pain. Specific design considerations included subject identification, timing and duration of treatment, outcomes, timing of assessment, and adjusting for risk factors in the analyses. We provide a detailed examination of 4 models of chronic pain prevention (ie, chronic postsurgical pain, postherpetic neuralgia, chronic low back pain, and painful chemotherapy-induced peripheral neuropathy). The issues discussed can, in many instances, be extrapolated to other chronic pain conditions. These examples were selected because they are representative models of primary and secondary prevention, reflect persistent pain resulting from multiple insults (ie, surgery, viral infection, injury, and toxic or noxious element exposure), and are chronically painful conditions that are treated with a range of interventions. Improvements in the design of chronic pain prevention trials could improve assay sensitivity and thus accelerate the identification of efficacious interventions. Such interventions would have the potential to reduce the prevalence of chronic pain in the population. Additionally, standardization of outcomes in prevention clinical trials will facilitate meta-analyses and systematic reviews and improve detection of preventive strategies emerging from clinical trials.

SUBMITTER: Gewandter JS

PROVIDER: S-EPMC5769693 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

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Project description:Acupuncture is one of the therapeutic resources used for the management of chronic pain. Variability in outcome measurements in randomized clinical trials of non-oncologic chronic pain (RCT-NOCP) generates inconsistencies in determining effects of treatments. The objective of this survey was to assess the adherence to the recommendations made by the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) in the measurement of RCT-NOCP of acupuncture. This methodological research made a systematic search for eligible studies from different sources of information. Eligible studies included those with number of patients ≥100, who randomized and allocated patients with chronic non-oncologic pain to be treated with acupuncture or with "sham" acupuncture, or non-acupuncture. This research included the recommendations for IMMPACT in the measurement of RCT-NOCP: presence of outcomes pain, physical function, emotional state and improvement perception of patient, the source of the outcome information pain and the tools used to measure such domains. From a total of 1,386 studies, 24 were included in this survey. Eleven studies presented low risk of bias. Pain outcome was measured in 23 studies, physical function in 22 studies, emotional state in 14 studies and improvement perception of patient in one study. As for the pain outcome, the patient was the information source in 50% of the studies. The measurement tools recommended for IMMPACT were included in eight studies (35%) that evaluated pain, one study that evaluated the emotional state (7%), and one study that evaluated the improvement perception and satisfaction of patient. It was observed that studies which did not adhere to the recommendations had more favorable results for acupuncture in the outcome pain. This study concludes that randomized clinical trials that used acupuncture to manage chronic pain failed to adhere to IMMPACT recommendations. Clinical societies and IMMPACT do not share the same recommendations. This fact reflects in the diversity of outcomes and instruments adopted in the studies, making it difficult to compare the results.

Project description:IntroductionPain is one of the most common and most debilitating complaints among patients. It affects the individual, their relationship with friends and family, their ability to function at work, and their sociability. Acupuncture is one of the therapeutic resources for managing chronic pain. Given the variability of outcome measures in controlled randomised clinical trials on non-oncologicchronic pain (CRCT-NOCP), the Initiative in Methods, Measurements and Pain Assessment in Clinical Trials (IMMPACT) recommends six domains to be covered in evaluating the effectiveness of treatments for chronic pain.ObjectiveTo check whether the methodological quality of outcome reporting in published trials has used IMMPACT recommendations in measuring CRCT-NOCP outcomes when acupuncture was used as a treatment.MethodThis is a methodological study. We will systematically search for eligible studies in specific databases with a defined strategy. We will use the MeSHterms of 'acupuncture', 'chronic pain' and similar terms, without restrictions on idiom. Eligible studies will include those which are randomised and chose NOCP patients to be treated with acupuncture or control (sham acupuncture or no acupuncture), recruited after September 2004, with ?100 patients. The measured outcomes are to be the presence of outcome domains recommended by IMMPACT, domains reported by the patient or clinician, tools used to measure such domains, as well as other features of the studies. We shall conduct a regression analysis to explore factors which can be associated with the presence of outcome domains according to IMMPACT recommendations.Ethics and disseminationThis survey will be submitted for presentation at congresses and for publication in a scientific journal. The findings obtained in this study will allow us to measure the quality of the evidence and provide greater transparency in decisions regarding the use of acupuncture as a viable alternative to managing chronic pain.

Project description:BACKGROUND/AIMS:Clinical trials for Alzheimer's disease have been aimed primarily at persons who have cognitive symptoms at enrollment. However, researchers are now recognizing that the pathophysiological process of Alzheimer's disease begins years, if not decades, prior to the onset of clinical symptoms. Successful intervention may require intervening early in the disease process. Critical issues arise in designing clinical trials for primary and secondary prevention of Alzheimer's disease including determination of sample sizes and follow-up duration. We address a number of these issues through application of a unifying multistate model for the preclinical course of Alzheimer's disease. A multistate model allows us to specify at which points during the long disease process the intervention exerts its effects. METHODS:We used a nonhomogeneous Markov multistate model for the progression of Alzheimer's disease through preclinical disease states defined by biomarkers, mild cognitive impairment and Alzheimer's disease dementia. We used transition probabilities based on several published cohort studies. Sample size methods were developed that account for factors including the initial preclinical disease state of trial participants, the primary endpoint, age-dependent transition and mortality rates and specifications of which transition rates are the targets of the intervention. RESULTS:We find that Alzheimer's disease prevention trials with a clinical primary endpoint of mild cognitive impairment or Alzheimer's disease dementia will require sample sizes of the order many thousands of individuals with at least 5 years of follow-up, which is larger than most Alzheimer's disease therapeutic trials conducted to date. The reasons for the large trial sizes include the long and variable preclinical period that spans decades, high rates of attrition among elderly populations due to mortality and losses to follow-up and potential selection effects, whereby healthier subjects enroll in prevention trials. A web application is available to perform sample size calculations using the methods reported here. CONCLUSION:Sample sizes based on multistate models can account for the points in the disease process when interventions exert their effects and may lead to more accurate sample size determinations. We will need innovative strategies to help design Alzheimer's disease prevention trials with feasible sample size requirements and durations of follow-up.

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Research design considerations for chronic pain prevention clinical trials: IMMPACT recommendations.

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