Evidence map›Paper›PMID 28447664›Full record

ReviewNature reviews. Cardiology2017

Efficient design of clinical trials and epidemiological research: is it possible?

Michael S Lauer, David Gordon, Gina Wei, Gail Pearson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Long-term health outcomes for patients with obstructive sleep apnea: placing the Agency for Healthcare Research and Quality report in context-a multisociety commentary.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. When Can We Trust Real-World Data To Evaluate New Medical Treatments?Clinical pharmacology and therapeutics · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Novel Trial Design: CHIEF-HF.Circulation. Heart failure · 2021
    Article
  18. Article
  19. With great power comes great… reliability.European journal of heart failure · 2020
    Article
  20. Review
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.

Michael S LauerNational Institutes of Health Office of Extramural Research, One Center Drive, Building 1, Room 144, Bethesda, Maryland 20892, USA.
David GordonDivision of Cardiovascular Sciences of the National Heart, Lung, and Blood Institute, 6701 Rockledge Drive, 8th Floor, Bethesda, Maryland 20892, USA.
Gina WeiDivision of Cardiovascular Sciences of the National Heart, Lung, and Blood Institute, 6701 Rockledge Drive, 8th Floor, Bethesda, Maryland 20892, USA.
Gail PearsonDivision of Cardiovascular Sciences of the National Heart, Lung, and Blood Institute, 6701 Rockledge Drive, 8th Floor, Bethesda, Maryland 20892, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomized clinical trials and large-scale, cohort studies continue to have a critical role in generating evidence in cardiovascular medicine; however, the increasing concern is that ballooning costs threaten the clinical trial enterprise. In this Perspectives article, we discuss the changing landscape of clinical research, and clinical trials in particular, focusing on reasons for the increasing costs and inefficiencies. These reasons include excessively complex design, overly restrictive inclusion and exclusion criteria, burdensome regulations, excessive source-data verification, and concerns about the effect of clinical research conduct on workflow. Thought leaders have called on the clinical research community to consider alternative, transformative business models, including those models that focus on simplicity and leveraging of digital resources. We present some examples of innovative approaches by which some investigators have successfully conducted large-scale, clinical trials at relatively low cost. These examples include randomized registry trials, cluster-randomized trials, adaptive trials, and trials that are fully embedded within digital clinical care or administrative platforms.

Indexed as

Cardiovascular DiseasesClinical Trials as TopicCost-Benefit AnalysisCosts and Cost AnalysisEpidemiologic StudiesHumansRandomized Controlled Trials as TopicResearch Design

Identifiers

What OpenQuestion holds

Textmetadata
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.