Evidence map›Paper›PMID 30115095›Full record

ArticleJournal of ovarian research2018

Low fertility may be a significant determinant of ovarian cancer worldwide: an ecological analysis of cross- sectional data from 182 countries.

Wenpeng You, Ian Symonds, Maciej Henneberg

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 27 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

3 authors at 2 institutions in 2 countries.

Wenpeng YouAdelaide Medical School, The University of Adelaide, Adelaide, SA, Australia. wenpeng.you@adelaide.edu.au.ORCID http://orcid.org/0000-0002-6229-1064
Ian SymondsAdelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.
Maciej HennebergAdelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.
The University of Adelaide · AUInstitut de Biologia Evolutiva · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAgeing, socioeconomic level, obesity, fertility, relaxed natural selection and urbanization have been postulated as the risk factors of ovarian cancer (OC56). We sought to identify which factor plays the most significant role in predicting OC56 incidence rate worldwide.

methodsBivariate correlation analysis was performed to assess the relationships between country-specific estimates of ageing (measured by life expectancy), GDP PPP (Purchasing power parity), obesity prevalence, fertility (indexed by the crude birth rate), opportunity for natural selection (I

resultsBivariate analyses revealed that OC56 was significantly and strongly correlated to ageing, GDP, obesity, low fertility, I

conclusionsLow fertility may be the most significant determining predictor of OC56 incidence worldwide.

Indexed as

FertilityFemaleHumansIncidenceInfertility, FemaleOvarian NeoplasmsRisk FactorsFamily well-beingLow fertilityOvarian cancerOxytocinSignificant predictor

Identifiers

PMID30115095
PMCPMC6097201
OpenAlexW2887720031

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.