Evidence map›Paper›PMID 36203212›Full record

ArticleTrials2022

Update on the clinical trial landscape: analysis of ClinicalTrials.gov registration data, 2000-2020.

Gillian Gresham, Jill L Meinert, Arthur G Gresham, Steven Piantadosi, Curtis L Meinert

Abstract read
In one paragraph

Article in Trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

5 authors.

Gillian GreshamDepartment of Medicine, Cedars-Sinai Medical Center, 700 N. San Vincente Blvd, Los Angeles, CA, 90048, USA. gillian.gresham@cshs.org.ORCID http://orcid.org/0000-0001-7142-1230
Jill L MeinertCenter for Clinical Trials and Evidence Synthesis, Johns Hopkins University, Baltimore, USA.
Arthur G Gresham, Ottawa, Canada.
Steven PiantadosiBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Curtis L MeinertCenter for Clinical Trials and Evidence Synthesis, Johns Hopkins University, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical trial landscape has evolved over the last two decades, shaped by advances in therapeutics and drug development and innovation in trial design and methods. The tracking of such changes became possible with trial registration, providing the public with a window into the massive clinical research enterprise. The ClinicalTrials.gov website was launched in 2000 by the NIH National Library of Medicine and is the largest clinical trial registry worldwide. The purpose of this analysis is to describe the composition and methodologic features of clinical trials as registered on ClinicalTrials.gov and to identify trends over time.

methodsWe analyzed data from the publicly available Clinical Trials Transformation Initiative Aggregate Analysis of ClinicalTrials.gov (AACT) database, focusing on trials (interventional studies) started between 1 January 2000 through 31 December 2020. Characteristics of design (e.g., phase, randomization, use of masking, number of treatment groups, sample size), eligibility criteria (age groups, gender), interventions, conditions, and funders (primary sponsor) were tabulated over time, by year trial started.

resultsThere were 274,043 registered interventional studies (trials) included in the analysis. Most trials were reported as randomized (65%); single site (60%); parallel-group (56%); funded by other sources (e.g., individuals, universities, and community-based organizations) (65%); and involving drug interventions (55%). Notable trends include an increase in the proportion of registered trials without FDA-defined phases ("Phase N/A") over time, a decrease in proportion of trials that involve drugs or report treatment as a primary purpose, declining sample size and time to complete trials, and an increase in proportion of trials reporting results among completed trials. The proportion of missing registration fields has also decreased over time and more trials make protocols and other documents available. There is a current need to expand the registration fields in ClinicalTrials.gov to adapt to the evolving trial designs and reduce the number of trials categorized as "other." Observed trends may be explained by changes in trial regulations as well as expanding and evolving trial designs, interventions, and outcome types.

conclusionsClinical trial registration has transformed how trial information is accessed, disseminated, and used. As clinical trials evolve and regulations change, trial registries, including ClinicalTrials.gov, will continue to provide a means to access and follow trials over time, thus informing future trial design and highlighting the value of this tremendous resource.

Indexed as

Databases, FactualClinical Trial Protocols as TopicHumansRegistriesSample Size

Identifiers

PMID36203212
PMCPMC9540299

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.