Evidence map›Paper›PMID 37305579›Full record

ArticleFrontiers in oncology2023

Comparison between two cancer registry quality check systems: functional features and differences in an Italian network of cancer registries dataset.

Giovanna Tagliabue, Viviana Perotti, Sabrina Fabiano, Andrea Tittarelli, Giulio Barigelletti, Paolo Contiero, Walter Mazzucco, Mario Fusco, Ettore Bidoli, Massimo Vicentini and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

13 authors at 5 institutions in 1 country.

Giovanna TagliabueCancer Registry Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Viviana PerottiCancer Registry Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Sabrina FabianoCancer Registry Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Andrea TittarelliCancer Registry Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Giulio BarigellettiCancer Registry Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Paolo ContieroEnvironmental Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Walter MazzuccoClinical Epidemiology Unit and Palermo Province Cancer Registry, University Hospital "P. Giaccone", Palermo, Italy.
Mario FuscoCancer Registry Unit, ASL Napoli 3 Sud, Naples, Italy.
Ettore BidoliCancer Epidemiology Unit, Centro di Riferimento Oncologico (CRO), IRCCS, Aviano, Italy.
Massimo VicentiniEpidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Maria Teresa PesceCancer Registry Unit, ASL Caserta, Caserta, Italy.
Fabrizio StracciDepartment of Oncology and Public Health, Executive Board of the Italian Network of Cancer Registries (AIRTUM), Milan, Italy.
Collaborative Working Group
Fondazione IRCCS Istituto Nazionale dei Tumori · ITAzienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo · ITAzienda Sanitaria Unità Locale di Reggio Emilia · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study was to compare the functional characteristics of two computer-based systems for quality control of cancer registry data through analysis of their output differences. Methods: The study used cancer incidence data from 22 of the 49 registries of the Italian Network of Cancer Registries registered between 1986 and 2017. Two different data checking systems developed by the WHO International Agency for Research on Cancer (IARC) and the Joint Research Center (JRC) with the European Network of Cancer Registries (ENCR) and routinely used by registrars were used to check the quality of the data. The outputs generated by the two systems on the same dataset of each registry were analyzed and compared. Results: The study included a total of 1,305,689 cancer cases. The overall quality of the dataset was high, with 86% (81.7-94.1) microscopically verified cases and only 1.3% (0.03-3.06) cases with a diagnosis by death certificate only. The two check systems identified a low percentage of errors (JRC-ENCR 0.17% and IARC 0.003%) and about the same proportion of warnings (JRC-ENCR 2.79% and IARC 2.42%) in the dataset. Forty-two cases (2% of errors) and 7067 cases (11.5% of warnings) were identified by both systems in equivalent categories. 11.7% of warnings related to TNM staging were identified by the JRC-ENCR system only. The IARC system identified mainly incorrect combination of tumor grade and morphology (72.5% of warnings). Conclusion: Both systems apply checks on a common set of variables, but some variables are checked by only one of the systems (for example, checks on patient follow-up and tumor stage at diagnosis are included by the JRC-ENCR system only). Most errors and warnings were categorized differently by the two systems, but usually described the same issues, with warnings related to "morphology" (JRC-ENCR) and "histology" (IARC) being the most frequent. It is important to find the right balance between the need to maintain high standards of data quality and the workability of such systems in the daily routine of the cancer registry.

Indexed as

cancer researchdata qualityIARCincidenceJRC-ENCRpopulation-based cancer registryquality check systems

Identifiers

PMID37305579
PMCPMC10250004
OpenAlexW4378193629

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.