Evidence map›Paper›PMID 28932577›Full record

ArticleJournal of thoracic disease2017

How to design a randomized clinical trial: tips and tricks for conduct a successful study in thoracic disease domain.

Francesco Guerrera, Stéphane Renaud, Fabrizio Tabbò, Pier Luigi Filosso

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Chest drain and thoracotomy for chest trauma.Journal of thoracic disease · 2019
    Review
  5. Article
  6. Review
  7. How to create a surgical database?Journal of thoracic disease · 2018
    Article
  8. Article
  9. Article
  10. Neuroendocrine tumors of the thymus.Journal of thoracic disease · 2017
    Review
  11. Unless I see, I will not believe.Journal of thoracic disease · 2017
    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.

Francesco GuerreraDepartment of Thoracic Surgery, University of Torino, Torino, Italy.
Stéphane RenaudDepartment of Thoracic Surgery, Nancy University Hospital, Nancy, France.
Fabrizio TabbòDepartment of Oncology, University of Torino, Torino, Italy.
Pier Luigi FilossoDepartment of Thoracic Surgery, University of Torino, Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomized controlled trials (RCTs) are considered one of the highest level of evidence in clinical practice, due to their strong confidence and robustness in producing data. The "randomization" (e.g., allocating patients randomly in each group of the study) allows eliminating many pre-analytical differences that might bias the entire study. Nevertheless, RCTs aren't free of internal pitfalls that might make them not easy to be developed or utilized. Our objective is to explain RCT management difficulties and suggest certain tips useful for the design of a RCT in thoracic disease domain. In particular have a realistic timeline, define a clear objective and precise endpoints, balance the study with a correct randomization and focus on the right equilibrium between strict selection criteria and more heterogeneous parameters are key elements that help researchers assuring a strong scientific validity.

Indexed as

clinical researchRandomized controlled trial (RCT)study designthoracic disease

Identifiers

PMID28932577
PMCPMC5594116

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.