Evidence map›Paper›PMID 35262727›Full record

ArticleJournal of the National Cancer Institute2022

Nitrogen-based Bisphosphonate Use and Ovarian Cancer Risk in Women Aged 50 Years and Older.

Karen M Tuesley, Penelope M Webb, Melinda M Protani, Katrina Spilsbury, Sallie-Anne Pearson, Michael D Coory, Peter Donovan, Christopher Steer, Louise M Stewart, Nirmala Pandeya and 1 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
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  9. Article
  10. Global epidemiology of epithelial ovarian cancer.Nature reviews. Clinical oncology · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Karen M TuesleySchool of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia.ORCID 0000-0002-5944-5085
Penelope M WebbSchool of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia.ORCID 0000-0003-0733-5930
Melinda M ProtaniSchool  of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia.ORCID 0000-0001-6452-7571
Katrina SpilsburyInstitute for Health Research, The University of Notre Dame Australia, Fremantle, Australia.ORCID 0000-0002-7434-2957
Sallie-Anne PearsonCentre for Big Data Research in Health, The University of New South Wales, Sydney, Australia.ORCID 0000-0001-7137-6855
Michael D CooryFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-7019-7502
Peter DonovanClinical Pharmacology Department, Royal Brisbane and Women's Hospital, Brisbane, Australia.ORCID 0000-0001-7934-601X
Christopher SteerBorder Medical Oncology, Albury-Wodonga Regional Cancer Centre, Albury, Australia.ORCID 0000-0002-7677-3339
Louise M StewartSchool of Population and Global Health, The University of Western Australia, Perth, Australia.ORCID 0000-0003-2015-6320
Nirmala PandeyaSchool of Public Health, Faculty of Medicine, University of Queensland, Brisbane,  Australia.ORCID 0000-0003-1462-4968
Susan J JordanSchool of Public Health, Faculty of Medicine , University of Queensland, Brisbane, Australia.ORCID 0000-0002-4566-1414
The University of Queensland · AUAlbury Wodonga Health · AUThe University of Melbourne · AUThe University of Notre Dame Australia · AUThe University of Western Australia · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are few readily modifiable risk factors for epithelial ovarian cancer; preclinical studies suggest bisphosphonates could have chemopreventive actions. Our study aimed to assess the association between use of nitrogen-based bisphosphonate medicine and risk of epithelial ovarian cancer, overall and by histotype.

methodsWe conducted a case-control study nested within a large, linked administrative dataset including all Australian women enrolled for Medicare, Australia's universal health insurance scheme, between July 2002 and December 2013. We included all women with epithelial ovarian cancer diagnosed at age 50 years and older between July 1, 2004, and December 31, 2013 (n = 9367) and randomly selected up to 5 controls per case, individually matched to cases by age, state of residence, area-level socioeconomic status, and remoteness of residence category (n = 46 830). We used prescription records to ascertain use of nitrogen-based bisphosphonates (ever use and duration of use), raloxifene, and other osteoporosis medicines (no nitrogen-based bisphosphonates, strontium and denosumab). We calculated adjusted odds ratios (OR) and 95% confidence intervals (CI) using conditional logistic regression.

resultsEver use of nitrogen-based bisphosphonates was associated with a reduced risk of epithelial ovarian cancer compared with no use (OR = 0.81, 95% CI = 0.75 to 0.88). There was a reduced risk of endometrioid (OR = 0.51, 95% CI = 0.33 to 0.79) and serous histotypes (OR = 0.84, 95% CI = 0.75 to 0.93) but no association with the mucinous or clear cell histotypes.

conclusionUse of nitrogen-based bisphosphonates was associated with a reduced risk of endometrioid and serous ovarian cancer. This suggests the potential for use for prevention, although validation of our findings is required.

Indexed as

DiphosphonatesOvarian NeoplasmsAgedAustraliaCarcinoma, Ovarian EpithelialCase-Control StudiesFemaleHumansMiddle AgedNational Health ProgramsNitrogenRisk FactorsDiphosphonatesNitrogen

Identifiers

PMID35262727
PMCPMC9194625
OpenAlexW4221034968

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.