Evidence map›Paper›PMID 28830196›Full record

ArticleThe British journal of radiology2017

Prediction of high-grade ureteral urothelial carcinoma on CT urography.

Hwang Sung Tae, Sung Deuk Jae, Yang Kyung Sook, Sim Ki Choon, Han Na Yeon, Park Beom Jin, Kim Min Ju, Cho Sung Bum

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 39% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 1 country.

Hwang Sung Tae1 Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Sung Deuk Jae1 Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Yang Kyung Sook2 Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea.
Sim Ki Choon1 Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Han Na Yeon1 Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Park Beom Jin1 Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Kim Min Ju1 Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Cho Sung Bum1 Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Korea University Medical Center · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the correlation between CT urography (CTU) findings and histological grade of ureteral urothelial carcinoma (UUC), and to identify predictors of high-grade UUC.

methodsCTU images of 73 patients with pathologically proven UUC via nephroureterectomy were independently reviewed by two radiologists for tumour size, tumour location, hydronephrosis grade, periureteral infiltration, presence of enlarged retroperitoneal lymph nodes and tumour enhancement value. Interobserver agreement was assessed with kappa statistics. Histological grade was classified as either low or high according to the WHO 2004 classification system and pathologic T stage was assessed according to the TNM staging system. Binary logistic regression, Spearman correlation analysis and receiver operating characteristic curves were used to evaluate relationships between CTU findings and histological grade.

results58 patients had high-grade UUCs and 15 had low-grade UUCs. Among CTU features, only hydronephrosis grade was significantly correlated with high tumour grade for both readers (p < 0.001). Multivariate logistic regression revealed that hydronephrosis of Grade 3 or higher was a significantly independent predictor of high-grade UUC for both readers (p ≤ 0.004). Interobserver agreement was excellent for hydronephrosis grade (к = 0.862). With the cut-off value of hydronephrosis Grade 3, the sensitivity, specificity and area under the curve for predicting high-grade UUC were, respectively, 88%, 79% and 0.830 for reader 1 and 86%, 80% and 0.763 for reader 2.

conclusionHydronephrosis of Grade 3 or higher on CTU may be predictive of high-grade UUC. Advances in knowledge: Radical surgery should be considered for UUC causing hydronephrosis of Grade 3 or higher on CTU, even in small tumours without periureteral infiltration.

Indexed as

Tomography, X-Ray ComputedAdultAgedAged, 80 and overCarcinoma, Transitional CellFemaleHumansMaleMiddle AgedNeoplasm GradingPredictive Value of TestsRetrospective StudiesUreteral NeoplasmsUrography

Identifiers

PMID28830196
PMCPMC5853351
OpenAlexW2749931979

What OpenQuestion holds

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LicenceCC BY-NC
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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.