Evidence map›Paper›PMID 28178275›Full record

ArticlePloS one2017

Phase of care prevalence for prostate cancer in New South Wales, Australia: A population-based modelling study.

Xue Qin Yu, Qingwei Luo, David P Smith, Mark S Clements, Manish I Patel, Dianne L O'Connell

Abstract read
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Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

6 authors.

Xue Qin YuCancer Research Division, Cancer Council New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0001-8638-7979
Qingwei LuoCancer Research Division, Cancer Council New South Wales, Sydney, Australia.
David P SmithCancer Research Division, Cancer Council New South Wales, Sydney, Australia.
Mark S ClementsDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Manish I PatelDiscipline of Surgery, the University of Sydney and Department of Urology, Westmead Hospital, Sydney, Australia.
Dianne L O'ConnellCancer Research Division, Cancer Council New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a method for estimating the future numbers of prostate cancer survivors requiring different levels of care. DESIGN, SETTING AND

participantsAnalysis of population-based cancer registry data for prostate cancer cases (aged 18-84 years) diagnosed in 1996-2007, and a linked dataset with hospital admission data for men with prostate cancer diagnosed during 2005-2007 in New South Wales (NSW), Australia.

methodsCancer registry data (1996-2007) were used to project complete prostate cancer prevalence in NSW, Australia for 2008-2017, and treatment information from hospital records (2005-2007) was used to estimate the inpatient care needs during the first year after diagnosis. The projected complete prevalence was divided into care needs-based groups. We first divided the cohort into two groups based on patient's age (<75 and 75-84 years). The younger cohort was further divided into initial care and monitoring phases. Cause of death data were used as a proxy for patients requiring last year of life prostate cancer care. Finally, episode data were used to estimate the future number of cases with metastatic progression.

resultsOf the estimated total of 60,910 men with a previous diagnosis of prostate cancer in 2017, the largest groups will be older patients (52.0%) and younger men who require monitoring (42.5%). If current treatment patterns continue, in the first year post-diagnosis 41% (1380) of patients (<75 years) will have a radical prostatectomy, and 52.6% (1752) will be likely to have either active surveillance, external beam radiotherapy or androgen deprivation therapy. About 3% will require care for subsequent metastases, and 1288 men with prostate cancer are likely to die from the disease in 2017.

conclusionsThis method extends the application of routinely collected population-based data, and can contribute much to the knowledge of the number of men with prostate cancer and their health care requirements. This could be of significant use in planning future cancer care services and facilities in Australia.

Indexed as

Delivery of Health CareSurvivorsAdolescentAdultAgedAged, 80 and overDisease ProgressionFollow-Up StudiesHealth Services Needs and DemandHumansMaleMiddle AgedNew South WalesPopulation SurveillancePrevalenceProstatic Neoplasms

Identifiers

PMID28178275
PMCPMC5298320

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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.