Evidence map›Paper›PMID 39330748›Full record

ArticleTomography (Ann Arbor, Mich.)2024

Ur Metser, Andres Kohan, Catherine O'Brien, Rebecca K S Wong, Claudia Ortega, Patrick Veit-Haibach, Brandon Driscoll, Ivan Yeung, Adam Farag

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2024. 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

9 authors.

Ur MetserUniversity Medical Imaging Toronto, University Health Network, Sinai Health Systems, Women's College Hospital, University of Toronto, Toronto, ON M5G 2N2, Canada.ORCID 0000-0003-3726-8994
Andres KohanUniversity Medical Imaging Toronto, University Health Network, Sinai Health Systems, Women's College Hospital, University of Toronto, Toronto, ON M5G 2N2, Canada.ORCID 0000-0003-3592-3000
Catherine O'BrienDepartment of Surgery, University Health Network, Toronto, ON M5G 2C4, Canada.
Rebecca K S WongRadiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
Claudia OrtegaUniversity Medical Imaging Toronto, University Health Network, Sinai Health Systems, Women's College Hospital, University of Toronto, Toronto, ON M5G 2N2, Canada.
Patrick Veit-HaibachUniversity Medical Imaging Toronto, University Health Network, Sinai Health Systems, Women's College Hospital, University of Toronto, Toronto, ON M5G 2N2, Canada.
Brandon DriscollQuantitative Imaging for Personalized Cancer Medicine, Techna Institute, University Health Network, Toronto, ON M5G 2C4, Canada.
Ivan YeungRadiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
Adam FaragUniversity Medical Imaging Toronto, University Health Network, Sinai Health Systems, Women's College Hospital, University of Toronto, Toronto, ON M5G 2N2, Canada.ORCID 0000-0002-8439-9498

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor hypoxia is a negative prognostic factor in many tumors and is predictive of metastatic spread and poor responsiveness to both chemotherapy and radiotherapy.

Indexed as

NitroimidazolesPositron-Emission TomographyRectal NeoplasmsTumor HypoxiaAdultAgedChemoradiotherapyFeasibility StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingNeoadjuvant TherapyPilot Projectsfluoroazomycin arabinosideNitroimidazolesRadiopharmaceuticals18F-FAZAhypoxiaPET/MRIrectal cancer

Identifiers

PMID39330748
PMCPMC11435673

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.