Evidence map›Paper›PMID 28798016›Full record

SynthesisCirculation. Cardiovascular quality and outcomes2017

Bayesian Analysis: A Practical Approach to Interpret Clinical Trials and Create Clinical Practice Guidelines.

John A Bittl, Yulei He

Open access · bronzeAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Circulation. Cardiovascular quality and outcomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Bayesian Methods for Meta-Analyses of Binary Outcomes: Implementations, Examples, and Impact of Priors.International journal of environmental research and public health · 2021
    Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Genotype-Guided P2YCirculation. Genomic and precision medicine · 2021
    Trial
  8. Trial
  9. Trial
  10. Mortality Benefit of Alirocumab: A Bayesian Perspective.Journal of the American Heart Association · 2019
    Trial
  11. Article
  12. Article
  13. Article
  14. Rethinking Probability of Success as Bayes Utility.Biometrical journal. Biometrische Zeitschrift · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

John A BittlFrom the Munroe Regional Medical Center, Ocala, FL (J.A.B.); and Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD (Y.H.). jabittl@mac.com.
Yulei HeFrom the Munroe Regional Medical Center, Ocala, FL (J.A.B.); and Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD (Y.H.).
Munroe Regional Medical Center · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Bayesian analysis is firmly grounded in the science of probability and has been increasingly supplementing or replacing traditional approaches based on

Indexed as

Bayes TheoremModels, StatisticalPractice Guidelines as TopicCoronary Artery BypassCoronary Artery DiseaseData Interpretation, StatisticalDiabetes MellitusDrug-Eluting StentsEvidence-Based MedicineHumansObservational Studies as TopicOdds RatioPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsRandomized Controlled Trials as TopicResearch DesignPlatelet Aggregation InhibitorsBayes theoremdiabetes mellitusprobabilitystatistical distributionsstatistics

Identifiers

PMID28798016
PMCPMC6421843
OpenAlexW2742983507

What OpenQuestion holds

Textmetadata
LicenceTDM
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.