Evidence map›Paper›PMID 29144161›Full record

ArticleThe British journal of radiology2018

Use of patient outcome endpoints to identify the best functional CT imaging parameters in metastatic renal cell carcinoma patients.

Jill Rachel Mains, Frede Donskov, Erik Morre Pedersen, Hans Henrik Torp Madsen, Jesper Thygesen, Kennet Thorup, Finn Rasmussen

Abstract read
In one paragraph

Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Jill Rachel Mains1 Department of Radiology, Aarhus University Hospital , Aarhus , Denmark.ORCID http://orcid.org/0000-0002-3185-7053
Frede Donskov2 Department of Oncology, Aarhus University Hospital , Aarhus , Denmark.
Erik Morre Pedersen1 Department of Radiology, Aarhus University Hospital , Aarhus , Denmark.
Hans Henrik Torp Madsen1 Department of Radiology, Aarhus University Hospital , Aarhus , Denmark.
Jesper Thygesen3 Department of Clinical Engineering, Aarhus University Hospital , Aarhus , Denmark.
Kennet Thorup1 Department of Radiology, Aarhus University Hospital , Aarhus , Denmark.
Finn Rasmussen1 Department of Radiology, Aarhus University Hospital , Aarhus , Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo use the patient outcome endpoints overall survival and progression-free survival to evaluate functional parameters derived from dynamic contrast-enhanced CT.

methods69 patients with metastatic renal cell carcinoma had dynamic contrast-enhanced CT scans at baseline and after 5 and 10 weeks of treatment. Blood volume, blood flow and standardized perfusion values were calculated using deconvolution (BV

resultsThe strongest associations were observed between patient outcome and medians and modes for BV

conclusionPatient outcome was used to identify the best functional imaging parameters in patients with metastatic renal cell carcinoma. Taking patient outcome and reproducibility into account, BV

Indexed as

Blood Flow VelocityBlood VolumeCarcinoma, Renal CellContrast MediaFour-Dimensional Computed TomographyHumansIohexolKidney NeoplasmsLinear ModelsModels, TheoreticalNeovascularization, PathologicRadiographic Image EnhancementTomography, X-Ray ComputedTriiodobenzoic AcidsContrast MediaiodixanolIohexolTriiodobenzoic Acids

Identifiers

PMID29144161
PMCPMC5965772

What OpenQuestion holds

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Registered trials

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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.