Evidence map›Paper›PMID 33641878›Full record

ReviewHematology/oncology clinics of North America2021

Advancing Effective Clinical Trial Designs for Myelofibrosis.

Heidi E Kosiorek, Amylou C Dueck

Open access · greenAbstract readReview
In one paragraph

Review in Hematology/oncology clinics of North America, 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
0.3field-weighted citation impact, top 45% 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, 2 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

2 authors at 1 institution in 1 country.

Heidi E KosiorekDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Johnson Research Building, 13400 East Shea Boulevard, Scottsdale, AZ 85259, USA.
Amylou C DueckDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Johnson Research Building, 13400 East Shea Boulevard, Scottsdale, AZ 85259, USA. Electronic address: dueck.amylou@mayo.edu.
Mayo Clinic in Arizona · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Tissue BankP01CA108671 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Ronald Hoffman · 2006 to 2026
$82.0M
Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
NCATS NIH HHS UL1 TR002377NCI NIH HHS P01 CA108671NCI NIH HHS P30 CA015083
6 · The paper itself

Abstract

Design features of phase I, II, and III clinical trials of pharmaceutical interventions in myelofibrosis (MF) are discussed. Model-assisted and model-based designs for phase I trials are useful for maximizing therapeutic benefit and include novel approaches to dose escalation. Trials in MF have shifted to accommodate new challenges following approval of JAK inhibitor therapies. Standardized response criteria exist; however, alternative measures of response when evaluating newer agents may be needed. Noninferiority and other adaptive designs can be used to incorporate design changes over time. Patient-reported outcomes, including quality-of-life and symptom assessment, should be included as outcome measures.

Indexed as

Clinical Trials as TopicPrimary MyelofibrosisHumansJanus KinasesPatient Reported Outcome MeasuresQuality of LifeResearch DesignJanus KinasesAdaptive designsBiostatisticsClinical trialsEndpointsMyelofibrosisPhase I designQuality of lifeSymptoms

Identifiers

PMID33641878
PMCPMC8687046
OpenAlexW3133872935

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.