Evidence map›Paper›PMID 35095270›Full record

ArticleCancer informatics2022

Accelerating Cancer Patient Recruitment Through a Mobile Application (Clinical Trial Finder).

Dinesh Pal Mudaranthakam, Alexander M Alsup, Vinay Murakonda, Tara Lin, Jeffrey Thompson, Byron Gajewski, Matthew S Mayo

Abstract read
In one paragraph

Article in Cancer informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

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

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

7 authors.

Dinesh Pal MudaranthakamDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.ORCID https://orcid.org/0000-0001-9767-1158
Alexander M AlsupDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Vinay MurakondaDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Tara LinThe University of Kansas Cancer Center, Kansas City, KS, USA.
Jeffrey ThompsonDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Byron GajewskiDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Matthew S MayoDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
NCI NIH HHS P30 CA168524
6 · The paper itself

Abstract

objectiveParticipant recruitment is a challenge for any clinical trial but is especially complex in cancer specifically due to the need to initiate treatment urgently. Most participants enrolled in oncology clinical trials are identified as potential participants by the oncologist or other referring provider. Optimal clinical care for patients with cancer includes consideration of participation in a clinical trial. However, the process of finding a clinical trial that is appropriate the patient can be cumbersome and time consuming. MATERIAL AND

methodsThe University of Kansas Cancer Center has developed a mobile application (app) which streamlines the clinical trial search process for physicians, patients, and caregivers by cohesively integrating all clinical trials currently recruiting in the center and making them easy to browse.

resultsKey aspects of the app include simple filtering options, the ability to search for trials by name, easily accessible assistance, and in-app referral by phone or email. Initial feedback on the app has been very positive, with several suggestions already being implemented in future development. The app was designed to be used both by physicians to find trials, as well as patients in collaboration with their physicians.

conclusionWhile long-term results will be crucial to understanding how the app can best serve our patient population, our initial results suggest that health system specific clinical trial apps can address a currently unmet need in the clinical trial recruitment process.

Indexed as

clinical trialsPatient recruitmentpatient referralscreening

Identifiers

PMID35095270
PMCPMC8793431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.