Evidence map›Paper›PMID 31915958›Full record

ArticleVirchows Archiv : an international journal of pathology2020

Dataset for the reporting of carcinoma of the bladder-cystectomy, cystoprostatectomy and diverticulectomy specimens: recommendations from the International Collaboration on Cancer Reporting (ICCR).

E Compérat, J R Srigley, F Brimo, B Delahunt, M Koch, A Lopez-Beltran, V Reuter, H Samaratunga, J H Shanks, T Tsuzuki and 4 more

Abstract read
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Article in Virchows Archiv : an international journal of pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

14 authors.

E CompératDepartment of Pathology, Hôpital Tenon, Sorbonne University, Paris, France. eva.comperat@aphp.fr.
J R SrigleyDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
F BrimoMcGill University Health Center, Glen Site, Office E4-4188, 1001 Decarie Blvd, Montréal, QC, H4A 3J1, Canada.
B DelahuntDepartment of Pathology and Molecular Medicine, Wellington School of Medicine and Health Sciences, University of Otago, Wellington, New Zealand.
M KochDepartment of Urology, Indiana University School of Medicine, Indianapolis, IN, USA.
A Lopez-BeltranDepartment of Pathology, Champalimaud Clinical Center, Lisbon, Portugal.
V ReuterDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
H SamaratungaAquesta Specialized Uropathology, Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia.
J H ShanksDepartment of Histopathology, The Christie NHS Foundation Trust, Manchester, UK.
T TsuzukiDepartment of Pathology, Aichi Medical University, Aichi, Japan.
T van der KwastLaboratory Medicine Program, University Health Network, University of Toronto, Toronto, ON, Canada.
M VarmaDepartment of Pathology, University Hospital of Wales, Cardiff, UK.
F WebsterInternational Collaboration on Cancer Reporting, Sydney, NSW, Australia.
D GrignonDepartment of Pathology and Laboratory Medicine, IUH Pathology Laboratory, Indiana University School of Medicine, Indianapolis, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The International Collaboration on Cancer Reporting (ICCR) is a not for profit organisation whose goal is to produce standardised internationally agreed and evidence-based datasets for pathology reporting. With input from pathologists worldwide, the datasets are intended to be uniform and structured. They include all items necessary for an objective and accurate pathology report which enables clinicians to apply the best treatment for the patient. This dataset has had input from a multidisciplinary ICCR expert panel. The rationale for some items being required and others recommended is explained, based on the latest literature. The dataset incorporates data from the World Health Organization (WHO) 2016, and also from the latest (8th edition) TNM staging system of the American Joint Committee on Cancer (AJCC). Fifteen required elements and eight recommended items are described. This dataset provides all the details for a precise and valuable pathology report required for patient management and prognostication. This dataset is intended for worldwide use, and should facilitate the collection of standardised comparable data on bladder carcinoma at an international level.

Indexed as

CarcinomaHumansMalePathologistsPathology, ClinicalProstateResearch ReportUrinary BladderCystoprostatectomyDatasetPathologyStagingSynoptic reportUrothelial carcinoma

Identifiers

PMID31915958

What OpenQuestion holds

Textmetadata
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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.