Evidence map›Paper›PMID 41942620›Full record

ArticleScientific reports2026

Measuring the added benefits of decentralized trial elements (SHASTA): impact on enrollment, demographics, and data completeness through a single sponsor.

Anna Yang, Elizabeth Mandel, Seema Asthana, Ben Trzaskoma, James Donohue, Rekha Shivapa, Rozanno Gonzales, Kimberly Barnholt

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Anna YangGenentech, A Member of the Roche Group, South San Francisco, CA, 94080, USA. yang.anna@gene.com.
Elizabeth MandelGenentech, A Member of the Roche Group, South San Francisco, CA, 94080, USA.
Seema AsthanaGenentech, A Member of the Roche Group, South San Francisco, CA, 94080, USA.
Ben TrzaskomaGenentech, A Member of the Roche Group, South San Francisco, CA, 94080, USA.
James DonohueGenentech, A Member of the Roche Group, South San Francisco, CA, 94080, USA.
Rekha ShivapaGenentech, A Member of the Roche Group, South San Francisco, CA, 94080, USA.
Rozanno GonzalesGenentech, A Member of the Roche Group, South San Francisco, CA, 94080, USA.
Kimberly BarnholtGenentech, A Member of the Roche Group, South San Francisco, CA, 94080, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper explores the impact of decentralized clinical trial (DCT) elements through a single Sponsor’s perspective, measuring outcomes such as enrollment rate, baseline demographics, and data quality. Analyzing data from six studies – including four interventional and two observational – provides insights into the efficacy and challenges of implementing DCTs. While decentralized approaches offer enhanced data completeness due to direct access to medical records and ancillary care, they also present significant data collection burden. For example, obtaining and abstracting relevant information from medical records is a substantial effort. The study highlights that while DCTs are promising, they are not a universal solution. Having more tangible metrics around benefits and limitations will help researchers design more fit-for-purpose approaches. Moreover, the skills and infrastructure developed for DCTs can pave the way for future decentralized healthcare. As patients become increasingly digitally savvy, the integration of technology into clinical trials is expected to enhance convenience and improve informed health decisions.

Indexed as

Clinical Trials as TopicData AccuracyDemographyHumans

Identifiers

PMID41942620
PMCPMC13062050

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.