Evidence map›Paper›PMID 28606030›Full record

ArticleJournal of primary care & community health2017

Assessing Breast Cancer Risk Estimates Based on the Gail Model and Its Predictors in Qatari Women.

Abdulbari Bener, Funda Çatan, Hanadi R El Ayoubi, Ahmet Acar, Wanis H Ibrahim

Open access · goldAbstract read
In one paragraph

Article in Journal of primary care & community health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

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  18. Breast Cancer Risk Assessment Using the Gail Model and It’s Predictors in Saudi WomenAsian Pacific journal of cancer prevention : APJCP · 2017
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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

5 authors at 5 institutions in 4 countries.

Abdulbari Bener1 Cerrahpaşa Faculty of Medicine Istanbul University, Istanbul, Turkey.
Funda Çatan1 Cerrahpaşa Faculty of Medicine Istanbul University, Istanbul, Turkey.
Hanadi R El Ayoubi5 Al Amal Hospital, Hamad Medical Corporation, Qatar.
Ahmet Acar1 Cerrahpaşa Faculty of Medicine Istanbul University, Istanbul, Turkey.
Wanis H Ibrahim7 Hamad General Hospital, Weill-Cornell Medical College, Qatar.
Hamad General Hospital · QAHôpital Saint-Louis · FRIstanbul Medipol University · TRIstanbul University-Cerrahpaşa · TRUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Gail model is the most widely used breast cancer risk assessment tool. An accurate assessment of individual's breast cancer risk is very important for prevention of the disease and for the health care providers to make decision on taking chemoprevention for high-risk women in clinical practice in Qatar.

aimTo assess the breast cancer risk among Arab women population in Qatar using the Gail model and provide a global comparison of risk assessment. SUBJECTS AND

methodsIn this cross-sectional study of 1488 women (aged 35 years and older), we used the Gail Risk Assessment Tool to assess the risk of developing breast cancer. Sociodemographic features such as age, lifestyle habits, body mass index, breast-feeding duration, consanguinity among parents, and family history of breast cancer were considered as possible risks.

resultsThe mean age of the study population was 47.8 ± 10.8 years. Qatari women and Arab women constituted 64.7% and 35.3% of the study population, respectively. The mean 5-year and lifetime breast cancer risks were 1.12 ± 0.52 and 10.57 ± 3.1, respectively. Consanguineous marriage among parents was seen in 30.6% of participants. We found a relationship between the 5-year and lifetime risks of breast cancer and variables such as age, age at menarche, gravidity, parity, body mass index, family history of cancer, menopause age, occupation, and level of education. The linear regression analysis identified the predictors for breast cancer in women such as age, age at menarche, age of first birth, family history and age of menopausal were considered the strong predictors and significant contributing risk factors for breast cancer after adjusting for ethnicity, parity and other variables.

conclusionThe current study is the first to evaluate the performance of the Gail model for Arab women population in the Gulf Cooperation Council. Gail model is an appropriate breast cancer risk assessment tool for female population in Qatar.

Indexed as

AdultAgedBreast NeoplasmsCross-Sectional StudiesFemaleHumansMiddle AgedModels, StatisticalQatarRisk AssessmentRisk FactorsArab womenbreast cancerconsanguinityGail model risk assessmentlifestylepredictorrisk factors

Identifiers

PMID28606030
PMCPMC5932695
OpenAlexW2596162136

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.