Evidence map›Paper›PMID 31225983›Full record

ArticleJCO clinical cancer informatics2019

Conceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflow.

Neha M Jain, Alison Culley, Teresa Knoop, Christine Micheel, Travis Osterman, Mia Levy

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Principal Investigators' Perceptions on Factors Associated with Successful Recruitment in Clinical Trials.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review of Clinical Research Informatics.Yearbook of medical informatics · 2020
    Review
  17. The My Cancer Genome clinical trial data model and trial curation workflow.Journal of the American Medical Informatics Association : JAMIA · 2020
    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

6 authors.

Neha M JainVanderbilt University Medical Center, Nashville, TN.
Alison CulleyVanderbilt University Medical Center, Nashville, TN.
Teresa KnoopVanderbilt University Medical Center, Nashville, TN.
Christine MicheelVanderbilt University Medical Center, Nashville, TN.
Travis OstermanVanderbilt University Medical Center, Nashville, TN.
Mia LevyVanderbilt University Medical Center, Nashville, TN.

Funding

Integrated, Individualized, Intelligent Prescribing (I3P)U01HG007253 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LEVY, MIA A., PETERSON, JOSEPH F. · 2014 to 2018
$4.6M
NHGRI NIH HHS U01 HG007253
6 · The paper itself

Abstract

In this work, we present a conceptual framework to support clinical trial optimization and enrollment workflows and review the current state, limitations, and future trends in this space. This framework includes knowledge representation of clinical trials, clinical trial optimization, clinical trial design, enrollment workflows for prospective clinical trial matching, waitlist management, and, finally, evaluation strategies for assessing improvement.

Indexed as

Clinical Trials as TopicDecision Support Systems, ClinicalAlgorithmsDatabases, FactualHumansMedical InformaticsNatural Language ProcessingResearch DesignSoftwareWorkflow

Identifiers

PMID31225983
PMCPMC6873934

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.