Evidence map›Paper›PMID 32844354›Full record

ArticleInternational urology and nephrology2021

Accuracy of ultrasound vs computed tomography scan for upper urinary tract malignancies and development of a risk-based diagnostic algorithm for haematuria in a UK tertiary centre.

Rotimi A David, B James, D Adeloye, P Bose, B Rai, G V KandaSwamy

Open access · greenAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2021. 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
0.6field-weighted citation impact, top 30% 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, 3 citations in OpenAlex.

  1. Review
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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

6 authors at 3 institutions in 1 country.

Rotimi A DavidUrology Department, Royal Bournemouth Hospital, The Royal Bournemouth and Christchurch Hospitals NHS Foundation Trust, Bournemouth, UK. oluwarotimiaa@gmail.com.ORCID http://orcid.org/0000-0003-1823-4625
B JamesUrology Department, Morriston Hospital, Swansea Bay University Health Board, Swansea, UK.
D AdeloyeCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK.
P BoseUrology Department, Morriston Hospital, Swansea Bay University Health Board, Swansea, UK.
B RaiUrology Department, Freeman Hospital, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.
G V KandaSwamyUrology Department, Morriston Hospital, Swansea Bay University Health Board, Swansea, UK.
Swansea Bay University Health Board · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GBUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is no consensus across guidelines on a diagnostic algorithm for upper urinary tract (UUT) evaluation following presentation with haematuria. Our aim is to compare the diagnostic accuracy of ultrasound (USS) compared to CT-scan for UUT malignancies and also determine the considerations important for a risk-based diagnostic protocol for haematuria.

methodsWe reviewed our 'haematuria clinic' database to identify patients who had both USS and CT-scan for UUT evaluation between September 2015 and August 2017, and calculated the diagnostic accuracy of these imaging modalities for histologically confirmed UUT cancers. Furthermore, we identified risk factors in our diagnostic algorithm for haematuria and conducted regression analysis to determine their ability to predict UUT malignancies.

resultsOverall, 575 patient records were studied. Age range was 21-92 years, M:F was 1.4:1, majority (81.2%) had visible haematuria, and 12 (2.1%) UUT cancers were diagnosed [renal cell carcinoma-1.4%; upper tract urothelial cancer-0.7%]. USS and CT-scan had diagnostic accuracy for UUT cancers of 95.8 and 99.1%, respectively (p < 0.001). Haematuria type was a significant consideration only on univariate analysis, while multivariate binary logistic regression showed that male gender, smoking, occupational exposure, and positive urologic history were the main risk factors associated with UUT malignancies.

conclusionUSS and CT-scan have comparably high diagnostic accuracy for detecting UUT malignancies. USS may, therefore, be considered as the first-line UUT imaging modality when utilized in a risk-based diagnostic algorithm. Larger, multicentred studies are needed to validate our findings and influence guideline development.

Indexed as

AlgorithmsAdultAgedAged, 80 and overCarcinoma, Transitional CellFemaleHematuriaHumansKidney NeoplasmsMaleMiddle AgedReproducibility of ResultsRisk AssessmentTertiary Care CentersTomography, X-Ray ComputedUltrasonographyAccuracyCT-scanDiagnostic algorithmHaematuriaUltrasoundUpper urinary tract cancer

Identifiers

PMID32844354
OpenAlexW3081190543

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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.