Opioid use, postoperative complications, and implant survival after unicompartmental versus total knee replacement: a population-based network study

Burn, Edward; Weaver, James; Moralès, Daniel; Prats-Uribe, Albert; Delmestri, Antonella; Strauss, Victoria Y; He, Ying; Robinson, Danielle E; Pinedo-Villanueva, Rafael; Kolovos, Spyros; Duarte‐Salles, Talita; Sproviero, William; Yu, Dahai; Speybroeck, Michel Van; Williams, Ross D.; John, Luis H; Hughes, Nigel; Sena, Anthony G.; Costello, Ruth; Birlie, Belay; Culliford, David; O’Leary, Caroline; Morgan, H. V.; Burkard, Theresa; Prieto‐Alhambra, Daniel; Ryan, Patrick B.

doi:10.1016/s2665-9913(19)30075-x

Cited by 21 publications

(31 citation statements)

References 31 publications

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“… 41 These data have been used extensively to assess health outcomes. 42 , 43 , 44 , 45 Data included member enrollment dates and inpatient and outpatient claims with service dates and diagnostic codes deterministically linked using a unique patient identifier. 41 We included individuals of all ages eligible for the insurance product for at least 1 month and residing in any US state or the District of Columbia (hereafter, states ).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of State Cannabis Laws and Rates of Self-harm and Assault

et al. 2021

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Key Points Question Are state cannabis legalization laws with varying degrees of commercialization associated with rates of self-harm or assault injuries? Findings In this cohort study based on health insurance claims data from 75 395 344 beneficiaries between 2003 and 2017, rates of self-harm injuries among males younger than 40 years increased more in states legalizing recreational cannabis dispensaries compared with states without cannabis legalization laws. For other age and sex groups and for more restrictive legalization approaches, no association with self-harm and assault was found. Meaning States with recreational cannabis may benefit from monitoring levels of self-harm as a potential consequence of legalization.

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Section: Methodsmentioning

confidence: 99%

Evaluation of State Cannabis Laws and Rates of Self-harm and Assault

et al. 2021

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“…It may also enable the extension of immature evidence on clinical outcomes from RCTs, allow exploration of heterogeneity, and support validation. The ability to produce reliable evidence at speed across a data network has been demonstrated in several applications, including in understanding the safety profile of hydroxychloroquine in the early stages of the COVID-19 pandemic [8,11,14,15].…”

Section: Methodsological Constraintsmentioning

confidence: 99%

“…They do this by imposing some level of standardisation on otherwise disparate data sources. Several open-source common data models are in use that differ in a number of important respects, including the extent of the standardisation, for instance, whether they standardise just the structure (FDA Sentinel) or also the semantic representation of data (OMOP); the coverage of the standardisation, whether only for selected types of clinical data (FDA Sentinel) or an attempt to be comprehensive, including all clinical and health system data (OMOP); and in their applications [9,[11][12][13][14]. These differences may impact on the timeliness with which high-quality multidatabase studies can be conducted, the transparency of analyses, and the adaptability of the analysis to specific research questions [4].…”

Section: What Is a Common Data Model?mentioning

confidence: 99%

“…Numerous studies have shown the value of the OMOP common data model in undertaking drug utilisation and characterisation studies [13] and in estimating comparative safety and even effectiveness [11,14,15], all of which are important components of HTA. We undertook an additional case study to further understand some of the additional challenges in the context of HTA.…”

Section: Types Of Evidence and Analytical Challengesmentioning

confidence: 99%

“…Several common data models are in widespread use [9], including the US FDA Sentinel, which is used predominantly for post-marketing drug safety surveillance but increasingly also for effectiveness research [4,10], and the open-source Observational and Medical Outcomes Partnerships (OMOP) common data model, which has been used to study treatment pathways, comparative effectiveness, safety, and patient-level prediction [8,[11][12][13][14][15]. The European Medicines Agency (EMA) will use the OMOP common data model to conduct multicentre cohort studies on the use of medicines in patients with coronavirus 2019 (COVID-19) [16].…”

Section: Introductionmentioning

confidence: 99%

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Common Problems, Common Data Model Solutions: Evidence Generation for Health Technology Assessment

et al. 2020

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Reporting of Observational Studies Explicitly Aiming to Emulate Randomized Trials

Hansford,

Cashin,

Jones

et al. 2023

JAMA Netw Open

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ImportanceObservational (nonexperimental) studies that aim to emulate a randomized trial (ie, the target trial) are increasingly informing medical and policy decision-making, but it is unclear how these studies are reported in the literature. Consistent reporting is essential for quality appraisal, evidence synthesis, and translation of evidence to policy and practice.ObjectiveTo assess the reporting of observational studies that explicitly aimed to emulate a target trial.Evidence ReviewWe searched Medline, Embase, PsycINFO, and Web of Science for observational studies published between March 2012 and October 2022 that explicitly aimed to emulate a target trial of a health or medical intervention. Two reviewers double-screened and -extracted data on study characteristics, key predefined components of the target trial protocol and its emulation (eligibility criteria, treatment strategies, treatment assignment, outcome[s], follow-up, causal contrast[s], and analysis plan), and other items related to the target trial emulation.FindingsA total of 200 studies that explicitly aimed to emulate a target trial were included. These studies included 26 subfields of medicine, and 168 (84%) were published from January 2020 to October 2022. The aim to emulate a target trial was explicit in 70 study titles (35%). Forty-three studies (22%) reported use of a published reporting guideline (eg, Strengthening the Reporting of Observational Studies in Epidemiology). Eighty-five studies (43%) did not describe all key items of how the target trial was emulated and 113 (57%) did not describe the protocol of the target trial and its emulation.Conclusion and RelevanceIn this systematic review of 200 studies that explicitly aimed to emulate a target trial, reporting of how the target trial was emulated was inconsistent. A reporting guideline for studies explicitly aiming to emulate a target trial may improve the reporting of the target trial protocols and other aspects of these emulation attempts.

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Opioid use, postoperative complications, and implant survival after unicompartmental versus total knee replacement: a population-based network study

Cited by 21 publications

References 31 publications

Evaluation of State Cannabis Laws and Rates of Self-harm and Assault

Evaluation of State Cannabis Laws and Rates of Self-harm and Assault

Common Problems, Common Data Model Solutions: Evidence Generation for Health Technology Assessment

Reporting of Observational Studies Explicitly Aiming to Emulate Randomized Trials

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