Evidence map›Paper›PMID 29315293›Full record

ArticleBritish journal of cancer2018

Aspirin use and ovarian cancer mortality in a Danish nationwide cohort study.

Freija Verdoodt, Susanne K Kjaer, Christian Dehlendorff, Søren Friis

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Freija VerdoodtUnit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen 2100, Denmark.
Susanne K KjaerUnit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen 2100, Denmark.
Christian DehlendorffUnit of Statistics and Pharmacoepidemiology, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen 2100, Denmark.
Søren FriisUnit of Statistics and Pharmacoepidemiology, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen 2100, Denmark.
Danish Cancer Society · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing data suggest that aspirin use may improve cancer survival; however, the evidence is sparse for ovarian cancer.

methodsWe examined the association between postdiagnosis use of low-dose aspirin and mortality in a nationwide cohort of women with epithelial ovarian cancer between 2000 and 2012. Information on filled prescriptions of low-dose aspirin, dates and causes of death, and potential confounding factors was obtained from nationwide Danish registries. We used Cox regression models to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for ovarian cancer-specific or other-cause mortality associated with low-dose aspirin use.

resultsAmong 4117 patients, postdiagnosis use of low-dose aspirin was associated with HRs of 1.02 (95% CI: 0.87-1.20) for ovarian cancer mortality and 1.06 (95% CI: 0.77-1.47) for other-cause mortality. Hazard ratios remained neutral according to patterns of low-dose aspirin use, including prediagnosis use or established mortality predictors.

conclusionsLow-dose aspirin use did not reduce mortality among ovarian cancer patients.

Indexed as

AdultAgedAged, 80 and overAspirinCarcinoma, Ovarian EpithelialCohort StudiesDenmarkFemaleHumansMiddle AgedRegression AnalysisSurvival AnalysisAspirin

Identifiers

PMID29315293
PMCPMC5830597
OpenAlexW2784240464

What OpenQuestion holds

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Registered trials

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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.