Evidence map›Paper›PMID 31888495›Full record

ArticleBMC medical research methodology2019

Using data linkage to enhance the reporting of cancer outcomes of Aboriginal and Torres Strait Islander people in NSW, Australia.

Hanna E Tervonen, Stuart Purdie, Nicola Creighton

Abstract read
In one paragraph

Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

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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

3 authors.

Hanna E TervonenCancer Institute NSW, PO Box 41, Alexandria, Sydney, NSW, 1435, Australia.
Stuart PurdieCancer Institute NSW, PO Box 41, Alexandria, Sydney, NSW, 1435, Australia.
Nicola CreightonCancer Institute NSW, PO Box 41, Alexandria, Sydney, NSW, 1435, Australia. nicola.creighton@health.nsw.gov.au.ORCID 0000-0003-0959-6309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAboriginal people are known to be under-recorded in routinely collected datasets in Australia. This study examined methods for enhancing the reporting of cancer incidence among Aboriginal people using linked data methodologies.

methodsInvasive cancers diagnosed in New South Wales (NSW), Australia, in 2010-2014 were identified from the NSW Cancer Registry (NSWCR). The NSWCR data were linked to the NSW Admitted Patient Data Collection, the NSW Emergency Department Data Collection and the Australian Coordinating Register Cause of Death Unit Record File. The following methods for enhancing the identification of Aboriginal people were used: 'ever-reported', 'reported on most recent record', 'weight of evidence' and 'multi-stage median'. The impact of these methods on the number of cancer cases and age-standardised cancer incidence rates (ASR) among Aboriginal people was explored.

resultsOf the 204,948 cases of invasive cancer, 2703 (1.3%) were recorded as Aboriginal on the NSWCR. This increased with enhancement methods to 4184 (2.0%, 'ever'), 3257 (1.6%, 'most recent'), 3580 (1.7%, 'weight of evidence') and 3583 (1.7%, 'multi-stage median'). Enhancement was generally greater in relative terms for males, people aged 25-34 years, people with cancers of localised or unknown degree of spread, people living in urban areas and areas with less socio-economic disadvantage. All enhancement methods increased ASRs for Aboriginal people. The weight of evidence method increased the overall ASR by 42% for males (894.1 per 100,000, 95% CI 844.5-945.4) and 27% for females (642.7 per 100,000, 95% CI 607.9-678.7). Greatest relative increases were observed for melanoma and prostate cancer incidence (126 and 63%, respectively). ASRs for prostate and breast cancer increased from below to above the ASRs of non-Aboriginal people with enhancement of Aboriginal status.

conclusionsAll data linkage methods increased the number of cancer cases and ASRs for Aboriginal people. Enhancement varied by demographic and cancer characteristics. We considered the weight of evidence method to be most suitable for population-level reporting of cancer incidence among Aboriginal people. The impact of enhancement on disparities in cancer outcomes between Aboriginal and non-Aboriginal people should be further examined.

Indexed as

Information Storage and RetrievalMedical Record LinkageRegistriesAdolescentAdultAgedAged, 80 and overAustralian Aboriginal and Torres Strait Islander PeoplesChildChild, PreschoolFemaleHumansIncidenceInfantInfant, NewbornMaleAustraliaData linkageIndigenousNeoplasms

Identifiers

PMID31888495
PMCPMC6936082

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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.