Evidence map›Paper›PMID 33229069›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2021

Principles and Reporting of Bayesian Trials.

J Jack Lee, Guosheng Yin

Abstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. 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

2 authors.

J Jack LeeDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: jjlee@mdanderson.org.
Guosheng YinDepartment of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Bayesian clinical trials are becoming popular owing to their adaptive, flexible, and versatile nature. Such trials typically require specification of the prior distribution and construction of the likelihood function; subsequently, inference is made on the basis of the posterior distribution. In comparison with frequentist trial designs, there are less established guidelines on how to report Bayesian trials. We provide a general overview on key components of the design, conduct, and analysis of Bayesian trials and elaborate on the reporting guidelines dos and don'ts.

Indexed as

Lung NeoplasmsResearch DesignBayes TheoremHumansBayesian designPosterior distributionPrior distributionsReportingStatistical inference

Identifiers

PMID33229069
PMCPMC10127518

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.