Evidence map›Paper›PMID 35902386›Full record

ReviewDiabetologia2022

Registry-based randomised clinical trials: a remedy for evidence-based diabetes care?

Jan W Eriksson, Björn Eliasson, Louise Bennet, Johan Sundström

Open access · hybridAbstract readReview
In one paragraph

Review in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Jan W ErikssonDepartment of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden. jan.eriksson@medsci.uu.se.ORCID 0000-0002-2639-9481
Björn EliassonDepartment of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
Louise BennetDepartment of Clinical Sciences in Malmö, Lund University, Lund, Sweden.
Johan SundströmDepartment of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden.
Uppsala University · SELund University · SESahlgrenska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This narrative review describes a new approach to navigation in a challenging landscape of clinical drug development in diabetes. Successful outcome studies in recent years have led to new indications and guidelines in type 2 diabetes, yet the number of clinical trials in diabetes is now declining. This is due to many environmental factors acting in concert, including the prioritisation of funding for other diseases, high costs of large randomised clinical trials, increase in regulatory requirements and limited entry of novel candidate drugs. There is a need for novel and cost-effective paradigms of clinical development to meet these and other challenges. The concept of registry-based randomised clinical trials (RRCTs) is an attractive option. In this review we focus on type 2 diabetes and the prevention of cardiovascular and microvascular comorbidities and mortality, using the Swedish SMARTEST trial as an example of an RRCT. We also give some examples from other disease areas. The RRCT concept is a novel, cost-effective and scientifically sound approach for conducting large-scale diabetes trials in a real-world setting.

Indexed as

Diabetes Mellitus, Type 2HumansHypoglycemic AgentsRegistriesHypoglycemic AgentsClinical outcomesFirst-line treatmentGlucose-lowering drugsHealthcare registryMacrovascular complicationsMicrovascular complicationsMortalityRandomised trialReviewType 2 diabetes

Identifiers

PMID35902386
PMCPMC9334551
OpenAlexW4288692019

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.