Evidence map›Paper›PMID 36537899›Full record

ArticleRadiology2023

Data Partitioning and Statistical Considerations for Association of Radiomic Features to Biological Underpinnings: What Is Needed.

Michael A Jacobs

Abstract readEditorialComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 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

5 · Who and what money

Authors and funding

1 author.

Michael A JacobsFrom the Department of Diagnostic and Interventional Imaging, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), 6431 Fannin St, Room R172, Houston, TX 77030; and The Russell H. Morgan Department of Radiology and Radiological Science and Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University, Baltimore, Md.ORCID 0000-0002-1125-1644

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
Multi-Modality Quantitiative Imaging for Evaluation of Response to Cancer TherapyU01CA140204 · NCI · JOHNS HOPKINS UNIVERSITY · PI DU, YONG, SOLNES, LILJA · 2011 to 2022
$6.1M
MRI based phosphocreatine mapping method to assess patients with peripheral arterial disease.R01HL149742 · NHLBI · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Michael Schaer, JIadi Xu · 2020 to 2026
$2.5M
Clinical, Radiologic and Biochemical Factors Related to Diabetes Development after Acute PancreatitisU01DK127400 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Rita R Kalyani, ZHAOLI SUN · 2020 to 2026
$2.3M
NCI NIH HHS P30 CA006973NCI NIH HHS U01 CA140204NHLBI NIH HHS R01 HL149742NIDDK NIH HHS U01 DK127400
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Lung NeoplasmsHumansTomography, X-Ray Computed

Identifiers

PMID36537899
PMCPMC10068882

What OpenQuestion holds

Textmetadata
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.