Evidence map›Paper›PMID 40000105›Full record

ArticleBMJ open quality2025

Developing a platform to investigate the heterogeneity of outcomes for patients with ovarian cancer.

Kathryn Baxter, J Booth, A Hawarden, N Wood, A Fisher, N Bhagat, J Morrison, V Cullimore, R Newhouse, I Yagel and 10 more

Abstract read
In one paragraph

Article in BMJ open quality, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Kathryn BaxterSt Mary's Hospital, Manchester, UK.
J BoothSt Mary's Hospital, Manchester, UK.
A HawardenSt Mary's Hospital, Manchester, UK.
N WoodLancashire Teaching Hospitals NHS Trust, Fulwood Preston, UK.
A FisherLancashire Teaching Hospitals NHS Trust, Fulwood Preston, UK.
N BhagatLancashire Teaching Hospitals NHS Trust, Fulwood Preston, UK.
J MorrisonSomerset NHS Foundation Trust, Taunton, UK.
V CullimoreSomerset NHS Foundation Trust, Taunton, UK.
R NewhouseSomerset NHS Foundation Trust, Taunton, UK.
I YagelDepartment of Surgery and Cancer, Imperial College London, London, UK.
A ShahDepartment of Surgery and Cancer, Imperial College London, London, UK.
J YapPan Birmingham Gynaecological Cancer Centre, Birmingham, UK.
H WoodmanPan Birmingham Gynaecological Cancer Centre, Birmingham, UK.
T OlaoyePan Birmingham Gynaecological Cancer Centre, Birmingham, UK.
V DoPan Birmingham Gynaecological Cancer Centre, Birmingham, UK.
M MacDonaldSheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
E LongSheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
L WIbmerSheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
C FotopoulouDepartment of Surgery and Cancer, Imperial College London, London, UK.
Richard EdmondsonUniversity of Manchester - The Victoria University of Manchester Campus, Manchester, UK richard.edmondson@manchester.ac.uk.ORCID http://orcid.org/0000-0003-2553-4423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe geographical variation in treatment patterns for patients with ovarian cancer is profound, long-standing and worrying. Although these variations were highlighted in a recent UK registry audit, granular data to provide explanations for these variations have been lacking.

methodsA consortium of six UK centres was generated to curate and submit data for all patients treated at their centre for a 2-year period. Descriptive statistics were combined with Cox regression and Kaplan-Meier analysis to confirm the findings from the national registry audit and identify possible drivers of the heterogeneity previously described.

resultsRecords for 1117 patients treated in six centres in 2018 and 2019 were collated. Although there were differences in the clinical characteristics of patients between centres, these were not enough to account for the significant variation in survival outcomes between centres (p<0.001). Treatment rates varied between centres with between 30% and 76% of patients receiving combination therapy but in Cox models 'treatment centre' remained a predictor of 1 year survival independent of patient, tumour factors and treatment choice.

conclusionVariations in outcome seen between UK centres are not related solely to casemix but rather to the approach and ethos of each centre towards advanced ovarian cancer treatment options. Although important, differences in treatment patterns do not completely explain the variations seen and further work is required to understand the drivers of difference seen.

Indexed as

Outcome Assessment, Health CareOvarian NeoplasmsAdultAgedAged, 80 and overFemaleHumansKaplan-Meier EstimateMiddle AgedProportional Hazards ModelsRegistriesTreatment OutcomeUnited Kingdomobstetrics and gynecologysurgerywomen's health

Identifiers

PMID40000105
PMCPMC12083278

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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.