Evidence map›Paper›PMID 34755049›Full record

ArticleJAMIA open2021

Follow-up Interactive Long-Term Expert Ranking (FILTER): a crowdsourcing platform to adjudicate risk for survivorship care.

Alex C Cheng, Li Wen, Yanwei Li, Tatsuki Koyama, Lynne D Berry, Tuya Pal, Debra L Friedman, Travis J Osterman

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMIA open, 2021. 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, top 80% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 2 institutions in 1 country.

Alex C ChengDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-1787-691X
Li WenVanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Yanwei LiSchool of Engineering, Vanderbilt University, Nashville, Tennessee, USA.
Tatsuki KoyamaDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Lynne D BerryDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Tuya PalDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Debra L FriedmanDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Travis J OstermanDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
TrainingU54CA163072 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Karen Marie Winkfield · 2011 to 2026
$20.1M
Enhancing Cancer Care Of Rural Dwellers Through Telehealth and Engagement (ENCORE)R01CA240093 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FRIEDMAN, DEBRA L., PAL, TUYA · 2019 to 2023
$3.6M
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA240093NCI NIH HHS U54 CA163072
6 · The paper itself

Abstract

objectivesTo develop an online crowdsourcing platform where oncologists and other survivorship experts can adjudicate risk for complications in follow-up. MATERIALS AND

methodsThis platform, called Follow-up Interactive Long-Term Expert Ranking (FILTER), prompts participants to adjudicate risk between each of a series of pairs of synthetic cases. The Elo ranking algorithm is used to assign relative risk to each synthetic case.

resultsThe FILTER application is currently live and implemented as a web application deployed on the cloud. DISCUSSION: While guidelines for following cancer survivors exist, refinement of survivorship care based on risk for complications after active treatment could improve both allocation of resources and individual outcomes in long-term follow-up.

conclusionFILTER provides a means for a large number of experts to adjudicate risk for survivorship complications with a low barrier of entry.

Indexed as

cancer survivors (D000073116)crowdsourcing (D063045)expert systems (D005103)risk factors (D012307)

Identifiers

PMID34755049
PMCPMC8571913
OpenAlexW3213604669

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.