Evidence map›Paper›PMID 18317955›Full record

ArticleMedical oncology (Northwood, London, England)2008

The present and the future of breast cancer burden in the Kingdom of Saudi Arabia.

Ezzeldin M Ibrahim, Ahmed A Zeeneldin, Bakr Bin Sadiq, Adnan A Ezzat

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Article in Medical oncology (Northwood, London, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  12. BioMed research international · 2021
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  14. Mammography uptake among the female staff of King Saud University.Journal of family medicine and primary care · 2020
    Article
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  19. Synthesis, characterization and cytotoxic activity of naturally isolated naringin-metal complexes.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2019
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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.

Ezzeldin M IbrahimKing Faisal Hospital and Research Center, Jeddah, Saudi Arabia. ezzibrahim@kfshrc.edu.sa
Ahmed A Zeeneldin
Bakr Bin Sadiq
Adnan A Ezzat

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the low cancer incidence in the Kingdom of Saudi Arabia (KSA), the country must be ready to face the challenge of foreseeable increase in cancer burden attributed to growth and aging of population. This work was designed to study female breast cancer as a model to assess future cancer burden and the impact on healthcare resources.

methodsCancer statistics for the KSA were compared with that for the USA. The Joinpoint regression program was used to identify changes in secular trends, while the GLOBOCAN 2002 software projected future incidence and mortality.

resultsIn the KSA, the age-standardized cancer rate (ASR) is 61 per 100,000 population, while the median age at diagnosis is 54 and 49 years for men and women, respectively. Fitting the ASR for breast cancer did not show any significant trend over a 10-year calendar period (16.2-18.2 per 100,000), a pattern that was similar to that for the USA in the prescreening mammography era. Considering the growth and aging of population and using conservative estimates for the annual percent change in incidence (increase) and mortality (decrease) by 2025, incidence and mortality cases are expected to increase by about 350% and 160%, respectively.

conclusionIn developing countries, future cancer rates could demonstrate a considerable increase and enormous demands on healthcare resources. The present work may provide an impetus to study other prevalent cancer types particularly in developing countries.

Indexed as

Cost of IllnessAge DistributionBreast NeoplasmsFemaleHumansSaudi ArabiaSEER Program

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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.