ArticleCancer medicine2018
Performance of the UroVysion
Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04363190 (Genomic Instability Associated With Chronic Long Term Exposure to Ionizing Radiation in Vascular Surgeons), which is not on this map. Cited by 3 papers.
What it found
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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.
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.
Genomic Instability Associated With Chronic Long Term Exposure to Ionizing Radiation in Vascular Surgeons
Who cites it
3 citing papers in PubMed.
- Detection of carcinoma in serous effusions: a review.American journal of cancer research · 2021Review
- Urine protein biomarkers for the detection, surveillance, and treatment response prediction of bladder cancer.American journal of cancer research · 2019Review
- Performance of the UroVysionCancer medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cytological examination of cavity fluids has limited sensitivity in the diagnosis of malignancy. Aneuploidy, which is commonly observed in neoplastic cells, could potentially be used as an ancillary diagnostic tool. To evaluate the detection of aneuploid cells in cavitary effusion samples using the fluorescence in situ hybridization (FISH) assay UroVysion
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.