Evidence map›Paper›PMID 36926511›Full record

ArticleFrontiers in health services2023

Determining cancer stage at diagnosis in population-based cancer registries: A rapid scoping review.

Li Pung, Rachael Moorin, Richard Trevithick, Karen Taylor, Kevin Chai, Cristiana Garcia Gewerc, Ninh Ha, Stephanie Smith

Full text readScoping Review
In one paragraph

Article in Frontiers in health services, 2023. 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.

  1. Article
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  6. Review
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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

8 authors.

Li PungSchool of Population Health, Curtin University, Perth, WA, Australia.
Rachael MoorinSchool of Population Health, Curtin University, Perth, WA, Australia.
Richard TrevithickDepartment of Health, Western Australia Cancer Registry, Clinical Excellence Division, Perth, WA, Australia.
Karen TaylorCancer Network WA, North Metropolitan Health Service, Perth, WA, Australia.
Kevin ChaiSchool of Population Health, Curtin University, Perth, WA, Australia.
Cristiana Garcia GewercSchool of Population Health, Curtin University, Perth, WA, Australia.
Ninh HaSchool of Population Health, Curtin University, Perth, WA, Australia.
Stephanie SmithSchool of Population Health, Curtin University, Perth, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Population-based cancer registries are the main source of data for population-level analysis of cancer stage at diagnosis. This data enables analysis of cancer burden by stage, evaluation of screening programs and provides insight into differences in cancer outcomes. The lack of standardised collection of cancer staging in Australia is well recognised and is not routinely collected within the Western Australia Cancer Registry. This review aimed to explore how cancer stage at diagnosis is determined in population-based cancer registries. Methods: This review was guided by the Joanna-Briggs Institute methodology. A systematic search of peer-reviewed research studies and grey literature from 2000 to 2021 was conducted in December 2021. Literature was included if peer-reviewed articles or grey literature sources used population-based cancer stage at diagnosis, and were published in English between 2000 and 2021. Literature was excluded if they were reviews or only the abstract was available. Database results were screened by title and abstract using Research Screener. Full-texts were screened using Rayyan. Included literature were analysed using thematic analysis and managed through NVivo. Results: The findings of the 23 included articles published between 2002 and 2021 consisted of two themes. (1) "Data sources and collection processes" outlines the data sources used, as well as the processes and timing of data collection utilised by population-based cancer registries. (2) "Staging classification systems" reveals the staging classification systems employed or developed for population-based cancer staging, including the American Joint Committee on Cancer's Tumour Node Metastasis and related systems; simplified systems classified into localised, regional, and distant categories; and miscellaneous systems. Conclusions: Differences in approaches used to determine population-based cancer stage at diagnosis challenge attempts to make interjurisdictional and international comparisons. Barriers to collecting population-based stage at diagnosis include resource availability, infrastructure differences, methodological complexity, interest variations, and differences in population-based roles and emphases. Even within countries, disparate funding sources and funder interests can challenge the uniformity of population-based cancer registry staging practices. International guidelines to guide cancer registries in collecting population-based cancer stage is needed. A tiered framework of standardising collection is recommended. The results will inform integrating population-based cancer staging into the Western Australian Cancer Registry.

Indexed as

cancer stagepopulation-based cancer registriespopulation-based cancer stagerapid scoping reviewregistry-derived stagestage at diagnosis

Identifiers

PMID36926511
PMCPMC10012750

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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.