Evidence map›Paper›PMID 35970489›Full record

ArticleJournal of pain and symptom management2023

A Visual Tool to Help Develop a Statistical Analysis Plan for Randomized Trials in Palliative Care.

Gregory Samsa, Kathryn Colborn, Maren Olsen, Gina-Maria Pomann, Steven Grambow, Megan Neely, Jesse Troy

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pain and symptom management, 2023. 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
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.

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

7 authors.

Gregory SamsaDepartment of Biostatistics and Bioinformatics (G.S., M.O., G.M.P., S.G., M.N., J.T.), Duke University School of Medicine, Durham NC. Electronic address: greg.samsa@duke.edu.
Kathryn ColbornDepartment of Surgery (K.C.), University of Colorado School of Medicine, Denver, CO.
Maren OlsenDepartment of Biostatistics and Bioinformatics (G.S., M.O., G.M.P., S.G., M.N., J.T.), Duke University School of Medicine, Durham NC.
Gina-Maria PomannDepartment of Biostatistics and Bioinformatics (G.S., M.O., G.M.P., S.G., M.N., J.T.), Duke University School of Medicine, Durham NC.
Steven GrambowDepartment of Biostatistics and Bioinformatics (G.S., M.O., G.M.P., S.G., M.N., J.T.), Duke University School of Medicine, Durham NC.
Megan NeelyDepartment of Biostatistics and Bioinformatics (G.S., M.O., G.M.P., S.G., M.N., J.T.), Duke University School of Medicine, Durham NC.
Jesse TroyDepartment of Biostatistics and Bioinformatics (G.S., M.O., G.M.P., S.G., M.N., J.T.), Duke University School of Medicine, Durham NC.

Funding

Refinement and Expansion of the Palliative Care Research Cooperative Group (PCRC)U24NR014637 · NINR · DUKE UNIVERSITY · PI KUTNER, JEAN S, POLLAK, KATHRYN I · 2013 to 2017
$9.6M
Palliative Care Research Cooperative Group (PCRC): Refinement and ExpansionU2CNR014637 · NINR · UNIVERSITY OF COLORADO DENVER · PI COLBORN, KATHRYN LOUISE · 2018 to 2022
$8.6M
NINR NIH HHS U24 NR014637NINR NIH HHS U2C NR014637
6 · The paper itself

Abstract

Collaboration with a statistician about the design of a statistical analysis plan can be enhanced by illustrating how statisticians conceptualize their task. This conceptualization can be represented by a directed acyclic graph (DAG), which illustrates the statistician's approach and also provides an actionable tool to assist in the development of the plan.

Indexed as

Hospice and Palliative Care NursingResearch DesignHumansPalliative CareRandomized Controlled Trials as TopicResearch PersonnelConstructivismRandomized trialsStatistical analysis planStatistical consultation

Identifiers

PMID35970489
PMCPMC9790025

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.