Evidence map›Paper›PMID 29121787›Full record

ArticleClinical trials (London, England)2018

Factors associated with reporting results for pulmonary clinical trials in ClinicalTrials.gov.

Isaretta L Riley, L Ebony Boulware, Jie-Lena Sun, Karen Chiswell, Loretta G Que, Monica Kraft, Jamie L Todd, Scott M Palmer, Monique L Anderson

Abstract read
In one paragraph

Article in Clinical trials (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Retracted publications in pharmacy systematic reviews.Journal of the Medical Library Association : JMLA · 2022
    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

9 authors.

Isaretta L Riley1 Department of Pulmonary, Allergy and Critical Care Medicine, Duke University School of Medicine, Durham, NC, USA.
L Ebony Boulware2 Department of General Internal Medicine, Duke University School of Medicine, Durham, NC, USA.
Jie-Lena Sun4 Duke Clinical Research Institute, Durham, NC, USA.
Karen Chiswell4 Duke Clinical Research Institute, Durham, NC, USA.
Loretta G Que1 Department of Pulmonary, Allergy and Critical Care Medicine, Duke University School of Medicine, Durham, NC, USA.
Monica Kraft5 Department of Medicine, University of Arizona College of Medicine, Tucson, AZ, USA.
Jamie L Todd1 Department of Pulmonary, Allergy and Critical Care Medicine, Duke University School of Medicine, Durham, NC, USA.
Scott M Palmer1 Department of Pulmonary, Allergy and Critical Care Medicine, Duke University School of Medicine, Durham, NC, USA.
Monique L Anderson4 Duke Clinical Research Institute, Durham, NC, USA.

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
Health Care Systems Research Collaboratory SupplementU54AT007748 · NCCIH · DUKE UNIVERSITY · PI CURTIS, LESLEY H, HERNANDEZ, ADRIAN · 2012 to 2017
$15.1M
NCCIH NIH HHS U54 AT007748NIEHS NIH HHS P30 ES006694
6 · The paper itself

Abstract

Background/aims The Food and Drug Administration Amendments Act mandates that applicable clinical trials report basic summary results to the ClinicalTrials.gov database within 1 year of trial completion or termination. We aimed to determine the proportion of pulmonary trials reporting basic summary results to ClinicalTrials.gov and assess factors associated with reporting. Methods We identified pulmonary clinical trials subject to the Food and Drug Administration Amendments Act (called highly likely applicable clinical trials) that were completed or terminated between 2008 and 2012 and reported results by September 2013. We estimated the cumulative percentage of applicable clinical trials reporting results by pulmonary disease category. Multivariable Cox regression modeling identified characteristics independently associated with results reporting. Results Of 1450 pulmonary highly likely applicable clinical trials, 380 (26%) examined respiratory neoplasms, 238 (16%) asthma, 175 (12%) chronic obstructive pulmonary disease, and 657 (45%) other respiratory diseases. Most (75%) were pharmaceutical highly likely applicable clinical trials and 71% were industry-funded. Approximately 15% of highly likely applicable clinical trials reported results within 1 year of trial completion, while 55% reported results over the 5-year study period. Earlier phase highly likely applicable clinical trials were less likely to report results compared to phase 4 highly likely applicable clinical trials (phases 1/2 and 2 (adjusted hazard ratio 0.41 (95% confidence interval: 0.31-0.54)), phases 2/3 and 3 (adjusted hazard ratio 0.55 (95% confidence interval: 0.42-0.72)) and phase not applicable (adjusted hazard ratio 0.43 (95% confidence interval: 0.29-0.63)). Pulmonary highly likely applicable clinical trials without Food and Drug Administration oversight were less likely to report results compared with those with oversight (adjusted hazard ratio 0.65 (95% confidence interval: 0.51-0.83)). Conclusion A total of 15% of pulmonary clinical highly likely applicable clinical trials report basic summary results to ClinicalTrials.gov within 1 year of trial completion. Strategies to improve reporting are needed within the pulmonary community.

Indexed as

AlgorithmsClinical Trials as TopicDatabases, FactualDocumentationFinancing, OrganizedHumansRegression AnalysisRespiratory Tract DiseasesUnited StatesUnited States Food and Drug Administrationasthmacancerchronic obstructive pulmonary diseaseclinical trialsClinicalTrials.govcomplianceFood and Drug Administration Amendments ActPolicypulmonarytransparency

Identifiers

PMID29121787
PMCPMC6007020

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.