Evidence map›Paper›PMID 36209449›Full record

ArticleCancer causes & control : CCC2023

Pathways to diagnosis of endometrial and ovarian cancer in the 45 and Up Study cohort.

Sarsha Yap, Amy Vassallo, David Goldsbury, Dianne L O'Connell, Alison Brand, Jon Emery, Anna DeFazio, Karen Canfell, Julia Steinberg

Open access · hybridAbstract read
In one paragraph

Article in Cancer causes & control : CCC, 2023. 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
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Information experiences among women diagnosed with endometrial cancer: a mixed methods study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

9 authors at 2 institutions in 1 country.

Sarsha Yap *The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, 153 Dowling St, Woolloomooloo, Sydney, NSW, 2011, Australia. sarsha.yap@sydney.edu.au.ORCID http://orcid.org/0000-0002-2049-6352
Amy Vassallo *Cancer Council NSW, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-8473-7549
David GoldsburyThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, 153 Dowling St, Woolloomooloo, Sydney, NSW, 2011, Australia.ORCID http://orcid.org/0000-0001-6247-2706
Dianne L O'ConnellThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, 153 Dowling St, Woolloomooloo, Sydney, NSW, 2011, Australia.ORCID http://orcid.org/0000-0001-8273-9519
Alison BrandDepartment of Gynaecological Oncology, Westmead Hospital, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-7975-6326
Jon EmeryCentre for Cancer Research and Department of General Practice, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0002-5274-6336
Anna DeFazio *The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, 153 Dowling St, Woolloomooloo, Sydney, NSW, 2011, Australia.ORCID http://orcid.org/0000-0003-0057-4744
Karen Canfell *The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, 153 Dowling St, Woolloomooloo, Sydney, NSW, 2011, Australia.ORCID http://orcid.org/0000-0002-6443-6618
Julia Steinberg *The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, 153 Dowling St, Woolloomooloo, Sydney, NSW, 2011, Australia.ORCID http://orcid.org/0000-0002-0585-2312
The University of Sydney · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine pathways to endometrial or ovarian cancer diagnosis by comparing health service utilization between cancer cases and matched cancer-free controls, using linked health records.

methodsFrom cancer registry records, we identified 238 incident endometrial and 167 ovarian cancer cases diagnosed during 2006-2013 in the Australian 45 and Up Study cohort (142,973 female participants). Each case was matched to four cancer-free controls on birthdate, sex, place of residence, smoking status, and body mass index. The use of relevant health services during the 13-18-, 7-12-, 0-6-, and 0-1-months pre-diagnosis for cases and the corresponding dates for their matched controls was determined through linkage with subsidized medical services and hospital records.

resultsHealthcare utilization diverged between women with cancer and controls in the 0-6-months, particularly 0-1 months, pre-diagnosis. In the 0-1 months, 74.8% of endometrial and 50.3% of ovarian cases visited a gynecologist/gynecological oncologist, 11.3% and 59.3% had a CA125 test, 5.5% and 48.5% an abdominal pelvic CT scan, and 34.5% and 30.5% a transvaginal pelvic ultrasound, respectively (versus ≤ 1% of matched controls). Moreover, 25.1% of ovarian cancer cases visited an emergency department in the 0-1-months pre-diagnosis (versus 1.3% of matched controls), and GP visits were significantly more common for cases than controls in this period.

conclusionMost women with endometrial or ovarian cancer accessed recommended specialists and tests in the 0-1-months pre-diagnosis, but a high proportion of women with ovarian cancer visited an emergency department. This reinforces the importance of timely specialist referral.

Indexed as

Endometrial NeoplasmsOvarian NeoplasmsAustraliaFemaleHumansRegistries45 and Up StudyAustraliaEndometrial cancerHealthcare utilizationOvarian cancerPathways to diagnosis

Identifiers

PMID36209449
PMCPMC9816254
OpenAlexW4303856847

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.