Evidence map›Paper›PMID 36072232›Full record

ArticleEcancermedicalscience2022

Ovarian cancer in Lebanese women: a 12-year comparative epidemiological study and trend analysis.

Antonio El Kareh, Steven Safi, Théa Kaady, Said El Hage, Elie Mokled, Elise Assouad, Elie Snaifer, Reine Nader

Abstract read
In one paragraph

Article in Ecancermedicalscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Antonio El KarehFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Steven SafiFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Théa KaadyFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Said El HageFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Elie MokledFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Elise AssouadSchool of Medicine, Lebanese American University, Byblos, Lebanon.
Elie SnaiferSaint Georges Hospital University Medical Center, Beirut, Lebanon.
Reine NaderMiddle East Institution of Health University Hospital, Bsalim, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Over the last decade, Lebanon has experienced an increase in the rate of cancer patients. The aim of this study is to investigate the incidence rates of ovarian cancer in Lebanese women over a period of 12 years and to compare them to other countries. Methods: Data were collected from the Lebanese National Cancer Registry for the time period 2005-2016 (inclusive). Data from other countries were retrieved from an online database 'Cancer Incidence in Five Continents'. The age-specific and age-standardised incidence rates (ASIR) were calculated and analysed using Joinpoint regression. Results: Ovarian cancer ranked seventh among the commonest cancers in Lebanese women in the studied time frame. Approximately 189 new cases were reported every year, with an average age-standardised incidence rate of 7.88 (per 100,000 women). Ovarian cancer showed a significantly decreasing trend in the 12 years of study. Lebanon had one of the highest ASIR for ovarian cancer among regional countries and randomly selected countries. Conclusion: Lebanon presented a high ASIR for ovarian cancer compared to regional countries, and was placed among the top ASIRs compared to countries worldwide. However, with the decreasing ovarian cancer trends, it is important to implement efficacious awareness in order to detect all OC cases.

Indexed as

epidemiologygynaecologyLebanononcologyovarian cancer

Identifiers

PMID36072232
PMCPMC9377821

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.