Cited by 15Statistical Methods in Clinical TrialsMeta-analysis and systematic reviewsAdvanced Causal Inference Techniques

The Randomized Registry Trial: Two Birds, One Stone

Liu, Jason B., D’Angelica, Michael I., Ko, Clifford Y.·2017·Annals of Surgery

Abstract

Because healthcare in the United States has become more value-based, patients, providers, and other stakeholders urgently need more high-quality clinical evidence. 1 Such evidence can inform clinical decisions, guide healthcare policies, evaluate care quality, and, ultimately, provide and assess value. Randomized clinical trials (RCTs) represent a criterion standard for evidence because of their ability to remove systematic biases and enhance insights into causality. Their complexity, need for scale, difficulties in patient and provider accrual, and immense costs, however, hamper their performance and completion. To overcome some of the challenges facing RCTs, trialists have recently begun to seek other ways to attain evidence. One such strategy is to leverage the abundance of clinical registries as data platforms for clinical trials. The registry-based randomized trial, or randomized registry trial (RRT), aims to approach the statistical rigor of randomization, whereas expediting and enhancing patient enrollment, minimizing cost, and addressing the generalizability of findings (Table 1). 2–5 TABLE 1: Comparison of Study DesignsThe first published RRT was conducted in Sweden. 3 In less than 3 years, 7244 patients across 3 countries in more than 30 sites were randomized. The trial was estimated to have costed only $50 per patient. 2,3,5 The first RRT in the United States was the Study of Access Site for Enhancement of Percutaneous Coronary Intervention (SAFE-PCI) for Women Tri…

Integrity signals

Registry

Crossref · 10.1097/sla.0000000000002166

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Liu, J. B., D’Angelica, M. I., & Ko, C. Y.
Affiliations
  • Memorial Sloan Kettering Cancer Center (US)
  • University of California, Los Angeles (US)
Corresponding author
  • Liu, Jason B.
  • Ko, Clifford Y.
Venue
Annals of Surgery
Published
2017-06
Volume
265
Issue
6
Pages
1064-1065
ISSN
0003-4932 (ISSN-L)
OpenAlex
W2581710837
Cited by
15
References
7
Citations by year
2025: 2 · 2023: 2 · 2022: 3 · 2020: 3 · 2018: 4 · 2017: 1
FWCI
1.52
Type
journal article
Language
en
Open access
closed
Locations
  • Annals of Surgery (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords
clinical registries, trial accrual, trial cost reduction, generalizability, patient safety monitoring, National Cardiovascular Data Registry, National Surgical Quality Improvement Program, percutaneous coronary intervention, women's health, surgical quality improvement, value-based care, evidence generation, trial design comparison
MeSH terms
Humans, Registries, Randomized Controlled Trials as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review