Evidence map›Paper›PMID 34322634›Full record

ArticleJournal of preventive medicine and hygiene2021

Worldwide incidence and mortality of ovarian cancer and Human Development Index (HDI): GLOBOCAN sources and methods 2018.

Zaher Khazaei, Seyedeh Mahdieh Namayandeh, Reza Beiranvand, Hasan Naemi, Seyyede Maryam Bechashk, Elham Goodarzi

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PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of preventive medicine and hygiene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 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

6 authors at 6 institutions in 1 country.

Zaher KhazaeiNahavand Paramedical School, Hamadan University of Medical Sciences, Hamadan, Iran.
Seyedeh Mahdieh NamayandehResearch Center for Health Technology Assessment and Medical Informatics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Reza BeiranvandDepartment of Epidemiology, School of Public Health, Ilam University of Medical Sciences, Ilam, Iran.
Hasan NaemiStudent Research Committee, Dezful University of Medical Sciences, Dezful, Iran.
Seyyede Maryam BechashkIranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Elham GoodarziSocial Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
Dezful University of Medical Sciences · IRHamedan University of Medical Sciences · IRLorestan University of Medical Sciences · IRMedical University of Ilam · IRSabzevar University of Medical Sciences · IRShahid Sadoughi University of Medical Sciences and Health Services · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOvarian cancer is known as the seventh most common cancer among women, accounting for about 4% of all cancers associated with the females.

methodThis is a descriptive cross-sectional study based on cancer incidence data and cancer mortality rates from the Global Cancer Data in 2018. The incidence and mortality rates were estimated and ovarian cancer distribution maps for world countries were drawn. To analyze data, correlation and regression tests were used to evaluate association between its incidence and mortality with human development index (HDI).

resultsResults revealed a direct and significant correlation between ovarian cancer incidence (R = 0.409, P < 0.0001) and mortality (R = 0.193, P < 0.05) with HDI. It also projected a direct and significant correlation between incidence with Gross National Income per 1,000 capita (GNI), mean years of schooling (MYS), life expectancy at birth (LEB) and expected years of schooling (EYS) (P < 0.0001). The findings also demonstrated a direct and significant correlation between mortality and GNI, MYS, LEB as well as EYS (P < 0.05). The linear regression model showed that a higher MYS [B = 0.2, CI 95%: (-0.03, 0.5)] can significantly augment the incidence of ovarian cancer while an increased MYS [B = 0.2, CI 95% (0.03, 0.4)] can induce mortality.

conclusionsGiven the direct and significant correlation between ovarian cancer incidence and mortality with HDI, attention to risk factors in these countries can be effective in curbing its incidence and mortality.

Indexed as

Developing CountriesGlobal HealthOvarian NeoplasmsCross-Sectional StudiesFemaleHumansIncidenceSocioeconomic FactorsHuman development indexIncidenceMortalityOvarian cancer

Identifiers

PMID34322634
PMCPMC8283651
OpenAlexW3163081064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.