Evidence map›Paper›PMID 31952999›Full record

ArticleUrologic oncology2020

A simplified nomogram to assess risk of bladder cancer in patients with a new diagnosis of microscopic hematuria.

Richard S Matulewicz, Alfred Rademaker, Joshua J Meeks

Open access · greenAbstract read
In one paragraph

Article in Urologic oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Risk prediction models for symptomatic patients with bladder and kidney cancer: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
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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

3 authors at 1 institution in 1 country.

Richard S MatulewiczDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL. Electronic address: Richard.Matulewicz@nyulangone.org.
Alfred RademakerDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Joshua J MeeksDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL.
Northwestern University · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
NCATS NIH HHS UL1 TR001422
6 · The paper itself

Abstract

introductionThe vast majority of patients who undergo a diagnostic evaluation for microscopic hematuria (MH) do not have occult bladder cancer. Identifying patients with MH at high risk of harboring bladder cancer can allow for a risk adjusted approach to diagnostic interventions with the goal of safely reducing unnecessary evaluations.

methodsPatients with a new diagnosis of microhematuria during an 8.5 year period were retrospectively identified. All patients who had a complete MH evaluation were randomized to a training or a validation cohort. Logistic regression analysis was performed in the training cohort to identify factors related to a bladder cancer diagnosis and to develop our model. Receiver operating curves to identify bladder cancer were constructed for the training and validation cohort and tested for their ability to discriminate true cases. A nomogram to predict a bladder cancer diagnosis was created.

resultsIn 4,178 patients split into training and validation cohorts, those diagnosed with bladder cancer were shown to be older, have a greater degree of MH (more RBC/hpf), and were former or current smokers. A nomogram created using this model was able to predict risk of a bladder cancer diagnosis with good discrimination (areas under the curve 0.79, 95% CI 0.75-0.83). A cutoff of 0.01 probability demonstrated a sensitivity of 99.1% and a negative predictive value of 99.7%.

conclusionA nomogram can accurately predict the risk of bladder cancer diagnosed during the evaluation of MH and can potentially be used avoid a significant number of work ups in those at the lowest risk.

Indexed as

NomogramsHematuriaHumansMiddle AgedRetrospective StudiesRisk FactorsUrinary Bladder NeoplasmsBladder cancerCystoscopyHematuriaMicrohematuria

Identifiers

PMID31952999
PMCPMC7150636
OpenAlexW2999614287

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.