Evidence map›Paper›PMID 35182738›Full record

ArticleContemporary clinical trials2022

COVID-19 interventional trials: Analysis of data sharing intentions during a time of pandemic.

Kristina Larson, Ida Sim, Megan von Isenburg, Marcia Levenstein, Frank Rockhold, Stan Neumann, Catherine D'Arcy, Elizabeth Graham, David Zuckerman, Rebecca Li

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Kristina LarsonHarvard, Center for Bioethics, Boston, MA, USA.
Ida SimVivli, Cambridge, USA; University of California, San Francisco, CA, USA.
Megan von IsenburgDuke University, Durham, NC, USA.
Marcia LevensteinVivli, Cambridge, USA.
Frank RockholdDuke University, Durham, NC, USA.
Stan NeumannVivli, Cambridge, USA.
Catherine D'ArcyVivli, Cambridge, USA.
Elizabeth GrahamVivli, Cambridge, USA.
David ZuckermanNew York Medical College, Valhalla, NY, USA.
Rebecca LiVivli, Cambridge, USA; Harvard, Center for Bioethics, Boston, MA, USA. Electronic address: rli@vivli.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis survey of COVID-19 interventional studies encompasses, and expands upon, a previous publication [1] examining individual participant level data (IPD) sharing intentions for COVID-related trials and publications prior to June 30, 2020.

methodsReplicating our inclusion criteria from the original survey, we evaluated a larger dataset of 2759 trials and 281 publications in this follow-up survey for willingness to share IPD and studied if sharing sentiment has evolved since the beginning of the pandemic.

resultsWe found that 18 months into the pandemic, data sharing intentions remained static at 15% for trials registered through ClinicalTrials.gov (ClinicalTrials.gov is a digital registry of information about publicly and privately funded clinical studies in which human volunteers participate in interventional or observational scientific research) prior to September 19, 2021 compared to our initial survey. However, a comparison of declared intentions to share IPD at the time of publication revealed a noticeable shift: affirmative intentions grew from 21.4% (6/28) in our original publications survey to 57% (160/281) in this survey. Within the subset of studies published within journals affiliated with the International Committee of Medical Journal Editors (ICMJE), positive sharing intentions are even higher (65%).

conclusionsAlthough intent to share data at the time of registration has not changed from our prior study in June 2020, there is growing commitment to sharing data reflected in the increasing number of affirmative declarations at the time of publication. Actual sharing of data will accelerate new insights into COVID-19 through secondary re-use of data.

Indexed as

Clinical Trials as TopicCOVID-19Information DisseminationHumansIntentionPandemicsResearch DesignClinicalTrials.govCOVID-19Data sharingIPD

Identifiers

PMID35182738
PMCPMC8847110

What OpenQuestion holds

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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.