Literature DB >> 10764439

Pathology data in the central databases of multicenter randomized trials need to be based on pathology reports and controlled by trained quality managers.

I D Nagtegaal1, E K Kranenbarg, J Hermans, C J van de Velde, J H van Krieken.   

Abstract

PURPOSE: Randomized multicenter trials form the basis of health care development. Regarding cancer research, pathology data are crucial. To maintain the quality of these trials, the auditing of subsequent processes is necessary. The aim of the present study was to examine the completeness and accuracy of data obtained from a special-purpose standardized pathology form compared with the data available through traditional hospital pathology reports. PATIENTS AND METHODS: A retrospective comparison of pathology data case record forms with hospital pathology reports was performed using the data from 300 patients with primary rectal cancer. All of these patients had been included in a large multicenter trial in the Netherlands. Three independent audits were carried out. Special attention was given to the accuracy of parameters, which are important for prognosis and treatment decisions. Furthermore, various factors that possibly influence the occurrence of errors were investigated.
RESULTS: Quality control of the pathology data revealed a high accuracy of 86.5% of all data items. However, only one third of the forms were complete and correct. Missing values were most prominent in the number of lymph nodes examined, whereas most errors were made in relation to the circumferential margin. Trained review pathologists made fewer major errors. Discrepancies were detected in all control rounds.
CONCLUSION: Successive rounds of quality control are required for accuracy and completeness of pathology data in multicenter trials. In addition to the special-purpose pathology forms, original pathology reports have to be collected, and the data should also be controlled by a trained pathology quality manager.

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Year:  2000        PMID: 10764439     DOI: 10.1200/JCO.2000.18.8.1771

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  12 in total

1.  A multi-centre pathologist survey on pathological processing and regression grading of colorectal cancer resection specimens treated by neoadjuvant chemoradiation.

Authors:  Runjan Chetty; Pelvender Gill; Dhirendra Govender; Adrian Bateman; Hee Jin Chang; David Driman; Fraser Duthie; Marisa Gomez; Eleanor Jaynes; Cheok Soon Lee; Michael Locketz; Claudia Mescoli; Corwyn Rowsell; Anne Rullier; Stefano Serra; Neil Shepherd; Eva Szentgyorgyi; Rajkumar Vajpeyi; Lai Mun Wang
Journal:  Virchows Arch       Date:  2012-01-13       Impact factor: 4.064

2.  Extralevator Abdominal Perineal Excision Versus Standard Abdominal Perineal Excision: Impact on Quality of the Resected Specimen and Postoperative Morbidity.

Authors:  Angelita Habr-Gama; Guilherme P São Julião; Adrian Mattacheo; Luiz Felipe de Campos-Lobato; Edgar Aleman; Bruna B Vailati; Joaquim Gama-Rodrigues; Rodrigo Oliva Perez
Journal:  World J Surg       Date:  2017-08       Impact factor: 3.352

3.  Radiation induces different changes in expression profiles of normal rectal tissue compared with rectal carcinoma.

Authors:  I D Nagtegaal; C G S Gaspar; L T C Peltenburg; C A M Marijnen; E Kapiteijn; C J H van de Velde; R Fodde; J H J M van Krieken
Journal:  Virchows Arch       Date:  2004-12-16       Impact factor: 4.064

Review 4.  [Intra-operative local tumor cell dissemination in rectal carcinoma surgery: effect of operation principles and neoadjuvant therapy].

Authors:  S Merkel; W Hohenberger; P Hermanek
Journal:  Chirurg       Date:  2010-08       Impact factor: 0.955

5.  The pathological assessment of mesorectal excision: implications for further treatment and quality management.

Authors:  P Hermanek; P Hermanek; W Hohenberger; M Klimpfinger; F Köckerling; T Papadopoulos
Journal:  Int J Colorectal Dis       Date:  2003-02-14       Impact factor: 2.571

6.  Variations in pelvic dimensions do not predict the risk of circumferential resection margin (CRM) involvement in rectal cancer.

Authors:  G Salerno; I R Daniels; G Brown; A R Norman; B J Moran; R J Heald
Journal:  World J Surg       Date:  2007-06       Impact factor: 3.352

7.  A study into methodology and application of quantification of tumour vasculature in rectal cancer.

Authors:  Femke Vlems; Erik van der Worp; Jeroen van der Laak; Cornelis van de Velde; Iris Nagtegaal; Han van Krieken
Journal:  Virchows Arch       Date:  2004-05-28       Impact factor: 4.064

8.  Local and distant recurrences in rectal cancer patients are predicted by the nonspecific immune response; specific immune response has only a systemic effect--a histopathological and immunohistochemical study.

Authors:  I D Nagtegaal; C A Marijnen; E K Kranenbarg; A Mulder-Stapel; J Hermans; C J van de Velde; J H van Krieken
Journal:  BMC Cancer       Date:  2001-07-16       Impact factor: 4.430

9.  Clinical impact of HLA class I expression in rectal cancer.

Authors:  Frank M Speetjens; Elza C de Bruin; Hans Morreau; Eliane C M Zeestraten; Hein Putter; J Han van Krieken; Maaike M van Buren; Monique van Velzen; N Geeske Dekker-Ensink; Cornelis J H van de Velde; Peter J K Kuppen
Journal:  Cancer Immunol Immunother       Date:  2007-09-15       Impact factor: 6.968

10.  Quantifying data quality for clinical trials using electronic data capture.

Authors:  Meredith L Nahm; Carl F Pieper; Maureen M Cunningham
Journal:  PLoS One       Date:  2008-08-25       Impact factor: 3.240

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