Evidence map›Paper›PMID 31438410›Full record

ArticleStudies in health technology and informatics2019

Improving Patient Participation in Cancer Clinical Trials: A Qualitative Analysis of HSRProj & RePORTER.

Lynette Hammond Gerido, Zhe He

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Lynette Hammond GeridoSchool of Information, Florida State University, Tallahassee, Florida, 32306 USA.
Zhe HeSchool of Information, Florida State University, Tallahassee, Florida, 32306 USA.

Funding

Systematic Analysis of Clinical Study Generalizability Assessment Methods with InformaticsR21AG061431 · NIA · FLORIDA STATE UNIVERSITY · PI BIAN, JIANG, HE, ZHE · 2019 to 2020
$793k
NIA NIH HHS R21 AG061431
6 · The paper itself

Abstract

Enrollment and representativeness, in cancer trials, have been a problem resulting in studies with poor generalizability to the real-world population. This study uses qualitative analysis of two publicly available datasets (HSRProj and RePORTER) to explore funded research projects, which employ strategies at the macro, meso, and micro levels. Our research shows that although the number of projects designed to increase participation in cancer clinical trials peaked in the 2000s, most employ a single level strategy.

Indexed as

NeoplasmsPatient ParticipationClinical Trials as TopicHumansPatient SelectionClinical TrialPatient SelectionQualitative Research

Identifiers

PMID31438410
PMCPMC6773468

What OpenQuestion holds

Textmetadata
LicenceTDM
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.