Academic Journal
View in EDS

Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study

Bibliographic Details
Title: Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study
Authors: Khadhouri, S., Gallagher, K. M., MacKenzie, K. R., Shah, T. T., Gao, C., Moore, S., Zimmermann, E. F., Edison, E., Jefferies, M., Nambiar, A., Anbarasan, T., Mannas, M. P., Lee, T., Marra, G., Gómez Rivas, J., Marcq, G., Assmus, M. A., Uçar, T., Claps, F., Boltri, M., La Montagna, G., Burnhope, T., Nkwam, N., Austin, T., Boxall, N. E., Downey, A. P., Sukhu, T. A., Antón-Juanilla, M., Rai, S., Chin, Y. F., Moore, M., Drake, T., Green, J. S. A., Goulao, B., MacLennan, G., Nielsen, M., McGrath, J. S., Kasivisvanathan, V.
Publisher Information: Elsevier
Publication Year: 2022
Collection: RD&E Research Repository (Royal Devon and Exeter NHS Foundation Trust)
Subject Terms: Bladder cancer, Haematuria, Prostate cancer, Renal cancer, Risk Calculator, Risk factors, Urinary tract cancer, Urothelial cancer
Description: BACKGROUND: Patient factors associated with urinary tract cancer can be used to risk stratify patients referred with haematuria, prioritising those with a higher risk of cancer for prompt investigation. OBJECTIVE: To develop a prediction model for urinary tract cancer in patients referred with haematuria. DESIGN, SETTING, AND PARTICIPANTS: A prospective observational study was conducted in 10 282 patients from 110 hospitals across 26 countries, aged ≥16 yr and referred to secondary care with haematuria. Patients with a known or previous urological malignancy were excluded. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcomes were the presence or absence of urinary tract cancer (bladder cancer, upper tract urothelial cancer [UTUC], and renal cancer). Mixed-effect multivariable logistic regression was performed with site and country as random effects and clinically important patient-level candidate predictors, chosen a priori, as fixed effects. Predictors were selected primarily using clinical reasoning, in addition to backward stepwise selection. Calibration and discrimination were calculated, and bootstrap validation was performed to calculate optimism. RESULTS AND LIMITATIONS: The unadjusted prevalence was 17.2% (n = 1763) for bladder cancer, 1.20% (n = 123) for UTUC, and 1.00% (n = 103) for renal cancer. The final model included predictors of increased risk (visible haematuria, age, smoking history, male sex, and family history) and reduced risk (previous haematuria investigations, urinary tract infection, dysuria/suprapubic pain, anticoagulation, catheter use, and previous pelvic radiotherapy). The area under the receiver operating characteristic curve of the final model was 0.86 (95% confidence interval 0.85-0.87). The model is limited to patients without previous urological malignancy. CONCLUSIONS: This cancer prediction model is the first to consider established and novel urinary tract cancer diagnostic markers. It can be used in secondary care for risk stratifying patients and aid the ...
Document Type: article in journal/newspaper
Language: English
Relation: https://linkinghub.elsevier.com/retrieve/pii/S2405-4569(22)00129-8; European urology focus; https://hdl.handle.net/11287/622653
DOI: 10.1016/j.euf.2022.06.001
Availability: https://hdl.handle.net/11287/622653
https://doi.org/10.1016/j.euf.2022.06.001
Rights: Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved. ; http://creativecommons.org/publicdomain/zero/1.0/
Accession Number: edsbas.9BABFC24
Database: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://hdl.handle.net/11287/622653#
    Name: EDS - BASE (ns324271)
    Category: fullText
    Text: View record from BASE
Header DbId: edsbas
DbLabel: BASE
An: edsbas.9BABFC24
RelevancyScore: 920
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 920.2763671875
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Khadhouri%2C+S%2E%22">Khadhouri, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Gallagher%2C+K%2E+M%2E%22">Gallagher, K. M.</searchLink><br /><searchLink fieldCode="AR" term="%22MacKenzie%2C+K%2E+R%2E%22">MacKenzie, K. R.</searchLink><br /><searchLink fieldCode="AR" term="%22Shah%2C+T%2E+T%2E%22">Shah, T. T.</searchLink><br /><searchLink fieldCode="AR" term="%22Gao%2C+C%2E%22">Gao, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Moore%2C+S%2E%22">Moore, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Zimmermann%2C+E%2E+F%2E%22">Zimmermann, E. F.</searchLink><br /><searchLink fieldCode="AR" term="%22Edison%2C+E%2E%22">Edison, E.</searchLink><br /><searchLink fieldCode="AR" term="%22Jefferies%2C+M%2E%22">Jefferies, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Nambiar%2C+A%2E%22">Nambiar, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Anbarasan%2C+T%2E%22">Anbarasan, T.</searchLink><br /><searchLink fieldCode="AR" term="%22Mannas%2C+M%2E+P%2E%22">Mannas, M. P.</searchLink><br /><searchLink fieldCode="AR" term="%22Lee%2C+T%2E%22">Lee, T.</searchLink><br /><searchLink fieldCode="AR" term="%22Marra%2C+G%2E%22">Marra, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Gómez+Rivas%2C+J%2E%22">Gómez Rivas, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Marcq%2C+G%2E%22">Marcq, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Assmus%2C+M%2E+A%2E%22">Assmus, M. A.</searchLink><br /><searchLink fieldCode="AR" term="%22Uçar%2C+T%2E%22">Uçar, T.</searchLink><br /><searchLink fieldCode="AR" term="%22Claps%2C+F%2E%22">Claps, F.</searchLink><br /><searchLink fieldCode="AR" term="%22Boltri%2C+M%2E%22">Boltri, M.</searchLink><br /><searchLink fieldCode="AR" term="%22La+Montagna%2C+G%2E%22">La Montagna, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Burnhope%2C+T%2E%22">Burnhope, T.</searchLink><br /><searchLink fieldCode="AR" term="%22Nkwam%2C+N%2E%22">Nkwam, N.</searchLink><br /><searchLink fieldCode="AR" term="%22Austin%2C+T%2E%22">Austin, T.</searchLink><br /><searchLink fieldCode="AR" term="%22Boxall%2C+N%2E+E%2E%22">Boxall, N. E.</searchLink><br /><searchLink fieldCode="AR" term="%22Downey%2C+A%2E+P%2E%22">Downey, A. P.</searchLink><br /><searchLink fieldCode="AR" term="%22Sukhu%2C+T%2E+A%2E%22">Sukhu, T. A.</searchLink><br /><searchLink fieldCode="AR" term="%22Antón-Juanilla%2C+M%2E%22">Antón-Juanilla, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Rai%2C+S%2E%22">Rai, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Chin%2C+Y%2E+F%2E%22">Chin, Y. F.</searchLink><br /><searchLink fieldCode="AR" term="%22Moore%2C+M%2E%22">Moore, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Drake%2C+T%2E%22">Drake, T.</searchLink><br /><searchLink fieldCode="AR" term="%22Green%2C+J%2E+S%2E+A%2E%22">Green, J. S. A.</searchLink><br /><searchLink fieldCode="AR" term="%22Goulao%2C+B%2E%22">Goulao, B.</searchLink><br /><searchLink fieldCode="AR" term="%22MacLennan%2C+G%2E%22">MacLennan, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Nielsen%2C+M%2E%22">Nielsen, M.</searchLink><br /><searchLink fieldCode="AR" term="%22McGrath%2C+J%2E+S%2E%22">McGrath, J. S.</searchLink><br /><searchLink fieldCode="AR" term="%22Kasivisvanathan%2C+V%2E%22">Kasivisvanathan, V.</searchLink>
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: Elsevier
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2022
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: RD&E Research Repository (Royal Devon and Exeter NHS Foundation Trust)
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Bladder+cancer%22">Bladder cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Haematuria%22">Haematuria</searchLink><br /><searchLink fieldCode="DE" term="%22Prostate+cancer%22">Prostate cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Renal+cancer%22">Renal cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+Calculator%22">Risk Calculator</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+factors%22">Risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Urinary+tract+cancer%22">Urinary tract cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Urothelial+cancer%22">Urothelial cancer</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: BACKGROUND: Patient factors associated with urinary tract cancer can be used to risk stratify patients referred with haematuria, prioritising those with a higher risk of cancer for prompt investigation. OBJECTIVE: To develop a prediction model for urinary tract cancer in patients referred with haematuria. DESIGN, SETTING, AND PARTICIPANTS: A prospective observational study was conducted in 10 282 patients from 110 hospitals across 26 countries, aged ≥16 yr and referred to secondary care with haematuria. Patients with a known or previous urological malignancy were excluded. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcomes were the presence or absence of urinary tract cancer (bladder cancer, upper tract urothelial cancer [UTUC], and renal cancer). Mixed-effect multivariable logistic regression was performed with site and country as random effects and clinically important patient-level candidate predictors, chosen a priori, as fixed effects. Predictors were selected primarily using clinical reasoning, in addition to backward stepwise selection. Calibration and discrimination were calculated, and bootstrap validation was performed to calculate optimism. RESULTS AND LIMITATIONS: The unadjusted prevalence was 17.2% (n = 1763) for bladder cancer, 1.20% (n = 123) for UTUC, and 1.00% (n = 103) for renal cancer. The final model included predictors of increased risk (visible haematuria, age, smoking history, male sex, and family history) and reduced risk (previous haematuria investigations, urinary tract infection, dysuria/suprapubic pain, anticoagulation, catheter use, and previous pelvic radiotherapy). The area under the receiver operating characteristic curve of the final model was 0.86 (95% confidence interval 0.85-0.87). The model is limited to patients without previous urological malignancy. CONCLUSIONS: This cancer prediction model is the first to consider established and novel urinary tract cancer diagnostic markers. It can be used in secondary care for risk stratifying patients and aid the ...
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://linkinghub.elsevier.com/retrieve/pii/S2405-4569(22)00129-8; European urology focus; https://hdl.handle.net/11287/622653
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1016/j.euf.2022.06.001
– Name: URL
  Label: Availability
  Group: URL
  Data: https://hdl.handle.net/11287/622653<br />https://doi.org/10.1016/j.euf.2022.06.001
– Name: Copyright
  Label: Rights
  Group: Cpyrght
  Data: Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved. ; http://creativecommons.org/publicdomain/zero/1.0/
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.9BABFC24
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.9BABFC24
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.euf.2022.06.001
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Bladder cancer
        Type: general
      – SubjectFull: Haematuria
        Type: general
      – SubjectFull: Prostate cancer
        Type: general
      – SubjectFull: Renal cancer
        Type: general
      – SubjectFull: Risk Calculator
        Type: general
      – SubjectFull: Risk factors
        Type: general
      – SubjectFull: Urinary tract cancer
        Type: general
      – SubjectFull: Urothelial cancer
        Type: general
    Titles:
      – TitleFull: Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Khadhouri, S.
      – PersonEntity:
          Name:
            NameFull: Gallagher, K. M.
      – PersonEntity:
          Name:
            NameFull: MacKenzie, K. R.
      – PersonEntity:
          Name:
            NameFull: Shah, T. T.
      – PersonEntity:
          Name:
            NameFull: Gao, C.
      – PersonEntity:
          Name:
            NameFull: Moore, S.
      – PersonEntity:
          Name:
            NameFull: Zimmermann, E. F.
      – PersonEntity:
          Name:
            NameFull: Edison, E.
      – PersonEntity:
          Name:
            NameFull: Jefferies, M.
      – PersonEntity:
          Name:
            NameFull: Nambiar, A.
      – PersonEntity:
          Name:
            NameFull: Anbarasan, T.
      – PersonEntity:
          Name:
            NameFull: Mannas, M. P.
      – PersonEntity:
          Name:
            NameFull: Lee, T.
      – PersonEntity:
          Name:
            NameFull: Marra, G.
      – PersonEntity:
          Name:
            NameFull: Gómez Rivas, J.
      – PersonEntity:
          Name:
            NameFull: Marcq, G.
      – PersonEntity:
          Name:
            NameFull: Assmus, M. A.
      – PersonEntity:
          Name:
            NameFull: Uçar, T.
      – PersonEntity:
          Name:
            NameFull: Claps, F.
      – PersonEntity:
          Name:
            NameFull: Boltri, M.
      – PersonEntity:
          Name:
            NameFull: La Montagna, G.
      – PersonEntity:
          Name:
            NameFull: Burnhope, T.
      – PersonEntity:
          Name:
            NameFull: Nkwam, N.
      – PersonEntity:
          Name:
            NameFull: Austin, T.
      – PersonEntity:
          Name:
            NameFull: Boxall, N. E.
      – PersonEntity:
          Name:
            NameFull: Downey, A. P.
      – PersonEntity:
          Name:
            NameFull: Sukhu, T. A.
      – PersonEntity:
          Name:
            NameFull: Antón-Juanilla, M.
      – PersonEntity:
          Name:
            NameFull: Rai, S.
      – PersonEntity:
          Name:
            NameFull: Chin, Y. F.
      – PersonEntity:
          Name:
            NameFull: Moore, M.
      – PersonEntity:
          Name:
            NameFull: Drake, T.
      – PersonEntity:
          Name:
            NameFull: Green, J. S. A.
      – PersonEntity:
          Name:
            NameFull: Goulao, B.
      – PersonEntity:
          Name:
            NameFull: MacLennan, G.
      – PersonEntity:
          Name:
            NameFull: Nielsen, M.
      – PersonEntity:
          Name:
            NameFull: McGrath, J. S.
      – PersonEntity:
          Name:
            NameFull: Kasivisvanathan, V.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
ResultId 1