Evidence map›Paper›PMID 38269982›Full record

ArticleStudies in health technology and informatics2024

Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow.

Nhan V Do, Danne C Elbers, Nathanael R Fillmore, Samuel Ajjarapu, Steven J Bergstrom, John Bihn, June K Corrigan, Rupali Dhond, Svitlana Dipietro, Arkadiy Dolgin and 22 more

Open access · hybridAbstract read
In one paragraph

Article in Studies in health technology and informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 97% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
  4. Article
  5. 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

32 authors at 4 institutions in 1 country.

Nhan V DoVA Boston Healthcare System, Boston MA, USA.
Danne C ElbersVA Boston Healthcare System, Boston MA, USA.
Nathanael R FillmoreVA Boston Healthcare System, Boston MA, USA.
Samuel AjjarapuVA Boston Healthcare System, Boston MA, USA.
Steven J BergstromVA Boston Healthcare System, Boston MA, USA.
John BihnVA Boston Healthcare System, Boston MA, USA.
June K CorriganVA Boston Healthcare System, Boston MA, USA.
Rupali DhondVA Boston Healthcare System, Boston MA, USA.
Svitlana DipietroVA Boston Healthcare System, Boston MA, USA.
Arkadiy DolginVA Boston Healthcare System, Boston MA, USA.
Theodore C FeldmanVA Boston Healthcare System, Boston MA, USA.
Sergey D GoryachevVA Boston Healthcare System, Boston MA, USA.
Linden B HuhmannVA Boston Healthcare System, Boston MA, USA.
Jennifer LaVA Boston Healthcare System, Boston MA, USA.
Paul A MarcantonioVA Boston Healthcare System, Boston MA, USA.
Kyle M McGrathVA Boston Healthcare System, Boston MA, USA.
Stephen J MillerVA Boston Healthcare System, Boston MA, USA.
Vinh Q NguyenVA Boston Healthcare System, Boston MA, USA.
George R SchneelochVA Boston Healthcare System, Boston MA, USA.
Feng-Chi SungVA Boston Healthcare System, Boston MA, USA.
Kaitlin N SwinnertonVA Boston Healthcare System, Boston MA, USA.
Amelia H TarrenVA Boston Healthcare System, Boston MA, USA.
Hannah M TosiVA Boston Healthcare System, Boston MA, USA.
Danielle ValleyVA Boston Healthcare System, Boston MA, USA.
Austin D VoVA Boston Healthcare System, Boston MA, USA.
Cenk YildirimVA Boston Healthcare System, Boston MA, USA.
Chunlei ZhengVA Boston Healthcare System, Boston MA, USA.
Robert ZwolinskiVA Boston Healthcare System, Boston MA, USA.
Gisele A SarosyNational Cancer Institute, Bethesda MD, USA.
David LooseNational Cancer Institute, Bethesda MD, USA.
Colleen ShannonVA Boston Healthcare System, Boston MA, USA.
Mary T BrophyVA Boston Healthcare System, Boston MA, USA.
VA Boston Healthcare System · USBoston University · USHarvard University · USNational Cancer Institute · US

Funding

Intramural VA VA999999
6 · The paper itself

Abstract

Clinical trial enrollment is impeded by the significant time burden placed on research coordinators screening eligible patients. With 50,000 new cancer cases every year, the Veterans Health Administration (VHA) has made increased access for Veterans to high-quality clinical trials a priority. To aid in this effort, we worked with research coordinators to build the MPACT (Matching Patients to Accelerate Clinical Trials) platform with a goal of improving efficiency in the screening process. MPACT supports both a trial prescreening workflow and a screening workflow, employing Natural Language Processing and Data Science methods to produce reliable phenotypes of trial eligibility criteria. MPACT also has a functionality to track a patient's eligibility status over time. Qualitative feedback has been promising with users reporting a reduction in time spent on identifying eligible patients.

Indexed as

NeoplasmsTechnologyData ScienceEligibility DeterminationHumansWorkflowClinical trialsNLPworkflow

Identifiers

PMID38269982
PMCPMC11128308
OpenAlexW4391224160

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.