Evidence map›Paper›PMID 39410044›Full record

ArticleCancers2024

Multiomics-Based Outcome Prediction in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR).

Haozhao Zhang, Michael Dohopolski, Strahinja Stojadinovic, Luiza Giuliani Schmitt, Soummitra Anand, Heejung Kim, Arnold Pompos, Andrew Godley, Steve Jiang, Tu Dan and 3 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

13 authors.

Haozhao ZhangDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-0666-5404
Michael DohopolskiDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Strahinja StojadinovicDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-6840-5747
Luiza Giuliani SchmittDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-3156-6379
Soummitra AnandDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Heejung KimDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0003-2676-1097
Arnold PomposDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Andrew GodleyDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Steve JiangDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Tu DanDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Zabi WardakDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Robert TimmermanDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Hao PengDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0001-7018-8617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

brain metastasesdecision-makingmultiomicsoutcome predictionPULSAR

Identifiers

PMID39410044
PMCPMC11475788

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.