Evidence map›Paper›PMID 36621117›Full record

Trial reportEuropean journal of cancer (Oxford, England : 1990)2023

Prospectively shared control data across concurrent randomised clinical trials.

Gopal Kotecha, Steffen Ventz, Lorenzo Trippa

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in European journal of cancer (Oxford, England : 1990), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Comment: Advancing Clinical Trials with Novel Designs and Implementations.Statistical science : a review journal of the Institute of Mathematical Statistics · 2023
    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

3 authors.

Gopal KotechaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. Electronic address: gkotecha@g.harvard.edu.
Steffen VentzDivision of Biostatistics, School of Public Health, University of Minnesota, MN, USA.
Lorenzo TrippaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.

Funding

Training Grant in Quantitative Sciences for Cancer ResearchT32CA009337 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QUACKENBUSH, JOHN, TRIPPA, LORENZO · 1986 to 2025
$12.3M
Statistical Methods and Validation Analyses for the Integration of External Data in Clinical TrialsR01LM013352 · NLM · DANA-FARBER CANCER INST · PI TRIPPA, LORENZO · 2021 to 2024
$1.5M
NCI NIH HHS T32 CA009337NLM NIH HHS R01 LM013352
6 · The paper itself

Abstract

Sharing data from control groups across concurrent randomised clinical trials with identical enrolment criteria and the same control therapy can translate into efficiencies for the drug development process. We discuss potential benefits and risks of prospective data-sharing plans for concurrent randomised trials.

Indexed as

Prospective StudiesHumansData sharingTrial design

Identifiers

PMID36621117
PMCPMC9925400

What OpenQuestion holds

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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.