Evidence map›Paper›PMID 34608226›Full record

ArticleScientific reports2021

Blood Volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma.

Aska Drljevic-Nielsen, Finn Rasmussen, Jill Rachel Mains, Kennet Thorup, Frede Donskov

Abstract read
In one paragraph

Article in Scientific reports, 2021. 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

5 authors.

Aska Drljevic-NielsenDepartment of Radiology, Aarhus University Hospital, Aarhus N, Denmark.
Finn RasmussenDepartment of Radiology, Aarhus University Hospital, Aarhus N, Denmark.
Jill Rachel MainsDepartment of Radiology, Aarhus University Hospital, Aarhus N, Denmark.
Kennet ThorupDepartment of Radiology, Aarhus University Hospital, Aarhus N, Denmark.
Frede DonskovDepartment of Oncology, Aarhus University Hospital, Aarhus N, Denmark. fd@oncology.au.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RECIST v1.1 has limitations in evaluating progression. We assessed Dynamic Constrast Enhanced Computed Tomography (DCE-CT) identified Blood Volume (BV) for the evaluation of progressive disease (PD) in patients with metastatic renal cell carcinoma (mRCC). BV was quantified prospectively at baseline, after one month, then every three months until PD. Relative changes (ΔBV) were assessed at each timepoint compared with baseline values. The primary endpoint was Time to PD (TTP), the secondary endpoint was Time to the scan prior to PD (PDminus1). Cox proportional hazard models adjusted ΔBV for treatments and International mRCC Database Consortium factors. A total of 62 patients had analyzable scans at the PD timepoint. Median BV was 23.92 mL × 100 g

Indexed as

BiomarkersBlood VolumeCarcinoma, Renal CellContrast MediaFemaleFour-Dimensional Computed TomographyHumansImage EnhancementImage Processing, Computer-AssistedKidney NeoplasmsMaleROC CurveTomography, X-Ray ComputedVaccines, CombinedBiomarkersContrast MediaVaccines, Combined

Identifiers

PMID34608226
PMCPMC8490379

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.