Kankere ya matswele ke kankere ye tlwaelegilego kudu go basadi lefaseng ka bophara, ka palo ya go akanywa ya balwetši ba 2.3 milione bao ba ilego ba hwetšwa ka 2020, go ya ka Mokgatlo wa Lefase wa Maphelo (WHO).
Kua United States, kankere ya matswele ke kankere ya bobedi yeo e tlwaelegilego kudu go basadi, ka palo ya go akanyetšwa ya balwetši ba bafsa ba 281,5500 bao go letetšwego gore ba tla hwetšwa ka 2021, go ya ka Mokgatlo wa Kankere wa Amerika.
Kotsi ya gore mosadi a swarwe ke kankere ya matswele bophelong bja gagwe ka moka e ka ba e 1 go ba 8, goba e ka ba e 12,9%. Lega go le bjalo, go bohlokwa go lemoga gore dipalo tše ke dikakanyetšo gomme di ka fapana go ya ka mabaka a bjalo ka nywaga, dikarolwana tša leabela, mokgwa wa bophelo le tikologo.
Zhang ML, Huang ZZ, Zheng Y: [Estimates and prediction on incidence, mortality and prevalence of breast cancer in China, 2008]. Zhonghua Liu Xing Bing Xue Za Zhi. 2012, 33 (10): 1049-51.
Peng J, Ganry O, Tramier B, Dubreuil A, Raverdy N, Thulliez A: [Incidence and prevalence estimations for breast and colorectal cancer in the Picardy region]. Rev Epidemiol Sante Publique. 2002, 50 (5): 427-32.
Liu FC, Lin HT, Kuo CF, See LC, Chiou MJ, Yu HP: Epidemiology and survival outcome of breast cancer in a nationwide study. Oncotarget. 2017, 8 (10): 16939-16950.
Asadzadeh Vostakolaei F, Broeders MJ, Mousavi SM, Kiemeney LA, Verbeek AL: The effect of demographic and lifestyle changes on the burden of breast cancer in Iranian women: a projection to 2030. Breast. 2013, 22 (3): 277-81.
Runco R, Laganà S, Marino G, Di Grazia A, Marino L, Umina V, Girlando A, Ricottone N, D'Agostino A, Marletta F, Tamburo M, Corsaro G, Rallo F, Santacaterina A, Acquaviva G, Crispi M, Palazzolo C, Platania A, Spatola C, Privitera G, Frosina P, Garufi G, Bonanno S, Rosso A, Barone V, Corallo A, Sansotta G, Delia P, Donato V, Lopes S, Pisana M, Borzì F, Iatì G, Potami A, Messina G, Parisi S, Frosina L, Marletta D, De Renzis C, Pontoriero A, Pergolizzi S: Breast cancer bone metastases: an epidemiologic study in selected radiation departments. Tumori. , 100 (1): 38-41.
['Boikano: bja tša kalafo']
['Wepesaete ye e neetšwe feela bakeng sa go ruta le go nea tsebišo gomme ga e nee keletšo ya tša kalafo goba ditirelo tša tša kalafo.']
['Tsebišo yeo e neilwego ga se ya swanela go dirišwa bakeng sa go hlahloba goba go alafa bothata bja tša maphelo goba bolwetši, gomme bao ba nyakago keletšo ya tša kalafo ya motho ka noši ba swanetše go boledišana le ngaka yeo e nago le tumelelo.']
['Ka kgopelo lemoga gore netweke ya methapo yeo e tšweletšago dikarabo tša dipotšišo, ga e nepagale kudu ge go tliwa go diteng tša dinomoro. Ka mohlala, palo ya batho bao ba hweditšwego ba na le bolwetši bjo bo itšego.']
['Ka mehla nyaka keletšo ya ngaka ya gago goba mofani yo mongwe wa tlhokomelo ya tša maphelo yo a nago le bokgoni mabapi le boemo bja tša kalafo. Le ka mohla o se ke wa hlokomologa keletšo ya tša kalafo goba wa diega go e nyaka ka baka la selo seo o se badilego wepesaeteng ye. Ge e ba o nagana gore o ka ba o le boemong bja tšhoganetšo bja tša kalafo, leletša 911 goba o ye phapošing ya tšhoganetšo ya kgauswi le wena kapejana. Ga go na tswalano ya ngaka le molwetši yeo e bopšago ke wepesaete ye goba go e diriša. BioMedLib goba bašomi ba yona, goba motho le ge e le ofe yo a tsenyago letsogo wepesaeteng ye, ga ba dire ditshepišo le ge e le dife, e ka ba tše di boletšwego ka go lebanya goba tše di sa hlaloswago gabotse, mabapi le tsebišo yeo e neilwego mo goba go e diriša.']
['Go se tšee karolo: tokelo ya ngwalollo']
['Molao wa Digital Millennium Copyright wa 1998, 17 U.S.C. § 512 (DMCA) o nea baamogedi ba tokelo ya ngwalollo bao ba dumelago gore dilo tšeo di tšwelelago ka go Inthanete di tshwenyana le ditokelo tša bona ka tlase ga molao wa U.S. wa tokelo ya ngwalollo. ']
['Ge e ba o dumela ka potego gore diteng goba dilo tšeo di lego mabapi le wepesaete ya rena goba ditirelo di tshwenyana le tokelo ya gago ya go gatiša, wena (goba moemedi wa gago) o ka re romela tsebišo ya gore o kgopele gore diteng goba dilo tšeo di tlošwe goba gore o thibelwe go di fihlelela. ']
["Ditsebišo di swanetše go romelwa ka go ngwala ka emeile (lebelela karolo ya 'Kgokagano' go hwetša aterese ya emeile). "]
['DMCA e nyaka gore tsebišo ya gago ya go pharwa ga molao wa tokelo ya ngwalollo e akaretše tshedimošo ye e latelago: (1) tlhaloso ya mošomo wa tokelo ya ngwalollo wo o pharwago ka molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa go pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao.']
['(5) setatamente sa gago, seo se saennwego ka tlase ga kotlo ya go bolela maaka, gore tshedimošo yeo e lego tsebišong e nepagetše le gore o na le maatla a go phethagatša ditokelo tša mongwadi tšeo go thwego di a gatakelwa; ']
['le (6) tshaeno ya kgonthe goba ya elektroniki ya mong wa tokelo ya ngwalollo goba motho yo a dumeletšwego go dira legatong la mong wa tokelo ya ngwalollo. ']
['Go palelwa ke go akaretša tshedimošo ka moka ya ka godimo go ka dira gore go šongwa ga ngongorego ya gago go diege.']
['Go Ikgokaganya']
['Re romele imeile ka kgopelo le ge e le efe goba tšhišinyo.']
How common is breast cancer?
Breast cancer is the most common cancer among women worldwide, with an estimated 2.3 million new cases diagnosed in 2020, according to the World Health Organization (WHO). The incidence and prevalence of breast cancer vary by region, but it is a significant health concern globally.
In the United States, breast cancer is the second most common cancer among women, with an estimated 281,5500 new cases expected to be diagnosed in 2021, according to the American Cancer Society.
The lifetime risk of a woman developing breast cancer is approximately 1 in 8, or about 12.9%. However, it is important to note that these numbers are estimates and may vary based on factors such as age, genetics, lifestyle, and environmental factors.
Disclaimer: medical
This web site is provided for educational and informational purposes only and does not constitute providing medical advice or professional services.
The information provided should not be used for diagnosing or treating a health problem or disease, and those seeking personal medical advice should consult with a licensed physician.
Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.
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Disclaimer: copyright
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['BioMedLib e diriša dikhomphutha tše di itirago (dikhomphutha tša go ithuta ka motšhene) go tšweletša dipara tša dipotšišo le dikarabo.']
['Re thoma ka dikgatišo tša tša kalafo ya diphedi tše dimilione tše 35 tša PubMed/Medline. Le gona, matlakala a wepesaete a RefinedWeb.']
