Literature DB >> 27590253

Early Stage Bladder Cancer: Do Pathology Reports Tell Us What We Need to Know?

Florian R Schroeck1, Erik A Pattison2, Daniel W Denhalter3, Olga V Patterson3, Scott L DuVall3, John D Seigne4, Douglas J Robertson5, Brenda Sirovich5, Philip P Goodney5.   

Abstract

OBJECTIVE: To assess a large national sample of bladder cancer pathology reports to determine if they contained the components necessary for clinical decision-making.
METHODS: We examined a random sample of 507 bladder cancer pathology reports from the national Department of Veterans Affairs Corporate Data Warehouse to assess whether each included information on the 4 report components explicitly recommended by the College of American Pathologists' protocol for the examination of such specimens: histology, grade, presence vs absence of muscularis propria in the specimen, and microscopic extent. We then assessed variation in the proportion of reports lacking at least 1 component across Department of Veterans Affairs facilities.
RESULTS: One hundred eight of 507 reports (21%) lacked at least 1 of the 4 components, with microscopic extent and presence vs absence of muscularis propria in the specimen most commonly missing (each in 11% of reports). There was wide variation across facilities in the proportion of reports lacking at least 1 component, ranging from 0% to 80%.
CONCLUSION: One-fifth of bladder cancer pathology reports lack information needed for clinical decision-making. The wide variation in incomplete report rates across facilities implies that some facilities already have implemented best practices assuring complete reporting whereas others have room for improvement. Future work to better understand barriers and facilitators of complete reporting may lead to interventions that improve bladder cancer care. Published by Elsevier Inc.

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Year:  2016        PMID: 27590253      PMCID: PMC5116267          DOI: 10.1016/j.urology.2016.07.040

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  15 in total

1.  Practice protocol for the examination of specimens removed from patients with carcinoma of the urinary bladder, ureter, renal pelvis, and urethra.

Authors:  E H Hammond; D E Henson
Journal:  Arch Pathol Lab Med       Date:  1996-12       Impact factor: 5.534

2.  Comparison of quality of care for patients in the Veterans Health Administration and patients in a national sample.

Authors:  Steven M Asch; Elizabeth A McGlynn; Mary M Hogan; Rodney A Hayward; Paul Shekelle; Lisa Rubenstein; Joan Keesey; John Adams; Eve A Kerr
Journal:  Ann Intern Med       Date:  2004-12-21       Impact factor: 25.391

Review 3.  Guideline for the management of nonmuscle invasive bladder cancer (stages Ta, T1, and Tis): 2007 update.

Authors:  M Craig Hall; Sam S Chang; Guido Dalbagni; Raj Som Pruthi; John Derek Seigne; Eila Curlee Skinner; J Stuart Wolf; Paul F Schellhammer
Journal:  J Urol       Date:  2007-12       Impact factor: 7.450

4.  Incidence and clinical characteristics of lower urinary tract symptoms as a presenting symptom for patients with newly diagnosed bladder cancer.

Authors:  Ryan W Dobbs; Lee A Hugar; Louis M Revenig; SiUsama Al-Qassab; John A Petros; Chad W Ritenour; Muta M Issa; Daniel J Canter
Journal:  Int Braz J Urol       Date:  2014 Mar-Apr       Impact factor: 1.541

5.  Adequacy of surgical pathology reporting of cancer: a College of American Pathologists Q-Probes study of 86 institutions.

Authors:  Michael O Idowu; Leonas G Bekeris; Stephen Raab; Stephen G Ruby; Raouf E Nakhleh
Journal:  Arch Pathol Lab Med       Date:  2010-07       Impact factor: 5.534

6.  Predicting recurrence and progression in individual patients with stage Ta T1 bladder cancer using EORTC risk tables: a combined analysis of 2596 patients from seven EORTC trials.

Authors:  Richard J Sylvester; Adrian P M van der Meijden; Willem Oosterlinck; J Alfred Witjes; Christian Bouffioux; Louis Denis; Donald W W Newling; Karlheinz Kurth
Journal:  Eur Urol       Date:  2006-01-17       Impact factor: 20.096

7.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

8.  Sex and racial differences in bladder cancer presentation and mortality in the US.

Authors:  Emil Scosyrev; Katia Noyes; Changyong Feng; Edward Messing
Journal:  Cancer       Date:  2009-01-01       Impact factor: 6.860

Review 9.  Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research.

Authors:  Lawrence A Palinkas; Sarah M Horwitz; Carla A Green; Jennifer P Wisdom; Naihua Duan; Kimberly Hoagwood
Journal:  Adm Policy Ment Health       Date:  2015-09

10.  Standardized synoptic cancer pathology reporting: a population-based approach.

Authors:  John R Srigley; Tom McGowan; Andrea Maclean; Marilyn Raby; Jillian Ross; Sarah Kramer; Carol Sawka
Journal:  J Surg Oncol       Date:  2009-06-15       Impact factor: 3.454

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  5 in total

1.  Development of a Natural Language Processing Engine to Generate Bladder Cancer Pathology Data for Health Services Research.

Authors:  Florian R Schroeck; Olga V Patterson; Patrick R Alba; Erik A Pattison; John D Seigne; Scott L DuVall; Douglas J Robertson; Brenda Sirovich; Philip P Goodney
Journal:  Urology       Date:  2017-09-12       Impact factor: 2.649

2.  Automated Extraction of Grade, Stage, and Quality Information From Transurethral Resection of Bladder Tumor Pathology Reports Using Natural Language Processing.

Authors:  Alexander P Glaser; Brian J Jordan; Jason Cohen; Anuj Desai; Philip Silberman; Joshua J Meeks
Journal:  JCO Clin Cancer Inform       Date:  2018-12

3.  Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record.

Authors:  Cosmin A Bejan; Daniel J Lee; Yaomin Xu; Ryan S Hsi
Journal:  Urology       Date:  2019-07-13       Impact factor: 2.649

4.  Assembling and validating data from multiple sources to study care for Veterans with bladder cancer.

Authors:  Florian R Schroeck; Brenda Sirovich; John D Seigne; Douglas J Robertson; Philip P Goodney
Journal:  BMC Urol       Date:  2017-09-06       Impact factor: 2.264

5.  Extent of Risk-Aligned Surveillance for Cancer Recurrence Among Patients With Early-Stage Bladder Cancer.

Authors:  Florian R Schroeck; Kristine E Lynch; Ji Won Chang; Todd A MacKenzie; John D Seigne; Douglas J Robertson; Philip P Goodney; Brenda Sirovich
Journal:  JAMA Netw Open       Date:  2018-09-28
  5 in total

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