Xana khensa ya vele yi toloveleke ku fikela kwihi?
Khensa ya vele i khensa leyi tolovelekeke swinene eka vavasati emisaveni hinkwayo, hi ku ya hi World Health Organization (WHO), ku ringanyetiwa leswaku ku na 2,3 wa timiliyoni ta vanhu lava nga na yona lava kumiweke hi 2020.
Le United States, khensa ya vele i khensa ya vumbirhi leyi tolovelekeke eka vavasati, laha ku languteriweke leswaku ku ta kumiwa 281,5500 wa mavabyi lamantshwa hi 2021, hi ku ya hi American Cancer Society.
Xiphiqo xa khensa ya vele xi nga ha hlasela wansati un'we eka va nhungu kumbe kwalomu ka 12,9 wa tiphesente. Hambiswiritano, i swa nkoka ku xiya leswaku tinhlayo leti i swiringanyeto naswona ti nga ha hambana hi ku ya hi malembe, xitekela, mahanyelo ni mbango.
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.
['Xihlambanyo xa vutihlamuleri: swa vutshunguri']
['Website leyi yi endleriwe ku dyondzisa ni ku nyika rungula ntsena naswona a yi nyiki switsundzuxo swa vutshunguri kumbe mintirho ya vativi va swa vutshunguri.']
['Rungula leri nyikeriweke a ri fanelanga ri tirhisiwa ku kambela kumbe ku tshungula xiphiqo xa rihanyo kumbe vuvabyi, naswona lava lavaka xitsundzuxo xa vutshunguri va fanele va vonana ni dokodela la nga ni mpfumelelo.']
['Xiya leswaku ndlela leyi ti-neural net ti hlamulaka swivutiso ha yona a yi pakanisi ngopfu loko ku vulavuriwa hi tinomboro, to tanihi nhlayo ya vanhu lava khomiweke hi vuvabyi byo karhi.']
["Minkarhi hinkwayo kombela xitsundzuxo eka dokodela wa wena kumbe eka muongori la fanelekaka malunghana ni xiyimo xa rihanyo ra wena. U nga tshuki u honisa xitsundzuxo xa dokodela kumbe u hlwela ku xi lava hikwalaho ka leswi u swi hlayeke eka website leyi. Loko u ehleketa leswaku u le xiyin'weni xa xihatla xa rihanyo, bela riqingho eka 911 kumbe u ya ekamareni ra xihatla leri nga ekusuhi na wena hi ku hatlisa. A ku na vuxaka bya dokodela ni muvabyi lebyi tumbuluxiweke hi website leyi kumbe ku tirhisiwa ka yona. BioMedLib kumbe vatirhi va yona, kumbe un'wana ni un'wana la hoxaka xandla eka website leyi, a nga endli switiyisekiso, leswi nga erivaleni kumbe leswi nga erivaleni, malunghana ni rungula leri nga laha kumbe ku tirhisiwa ka rona."]
['Ku ala ku byarha vutihlamuleri: mfanelo yo tsala']
['Nawu wa Digital Millennium Copyright Act wa 1998, 17 U.S.C. § 512 (DMCA) wu nyika tindlela ta ku tihlanganisa na vini va timfanelo ta vuhleri lava va tshembaka leswaku swilo leswi humelelaka eka Internet swi tlula timfanelo ta vona ehansi ka nawu wa vuhleri wa U.S.']
['Loko u tshemba leswaku rungula kumbe swilo leswi kumekaka eka website ya hina kumbe eka mintirho ya hina swi tlula mfanelo ya wena yo endla swilo, wena (kumbe muyimeri wa wena) u nga hi rhumela xitiviso u kombela leswaku rungula kumbe swilo leswi swi susiwa kumbe swi siveriwa.']
['Switiviso swi fanele ku rhumeriwa hi ku tsala hi imeyili (languta eka xiyenge xa "Vuxaka" eka adirese ya imeyili).']
["DMCA yi lava leswaku xitiviso xa wena xa ku tlula nawu wa mfanelo ya ku tsala xi katsa mahungu lawa landzelaka: (1) nhlamuselo ya ntirho lowu nga na mfanelo ya ku tsala lowu ku vuriwaka leswaku wu tluriwile; (2) nhlamuselo ya leswi ku vuriwaka leswaku swi tlula nawu wa ku tsala ni mahungu lama ringaneke ku hi pfumelela ku kuma leswi nga endzeni; (3) mahungu ya ku tihlanganisa na wena, ku katsa ni adirese ya wena, nomboro ya riqingho na adirese ya imeyili; (4) xitiviso xa wena xa leswaku u ni ripfumelo ra leswaku leswi nga endzeni hi ndlela leyi ku vilelaka ha yona a swi pfumeleriwanga hi n'wini wa mfanelo ya ku tsala, kumbe muyimeri wa yena, kumbe hi ku tirha ka nawu wihi na wihi; "]
['(5) xitiyisiso xa wena, lexi sayiniweke ehansi ka nxupulo wa ku hemba, xa leswaku mahungu lama nga eka xitiviso i ntiyiso ni leswaku u na matimba yo tirhisa timfanelo ta vuqambi leti ku vuriwaka leswaku ti tluriwile;']
["na (6) ku sayina ka xiviri kumbe ka elektroniki ka n'wini wa mfanelo ya vuqambi kumbe munhu la pfumeleriweke ku endla hi vito ra n'wini wa mfanelo ya vuqambi. "]
['Loko u nga nghenisi vuxokoxoko hinkwabyo lebyi nga laha henhla swi nga endla leswaku ku tirhana ni xivilelo xa wena swi hlwela.']
['Ku Tihlanganisa']
['Hi kombela u hi rhumela imeyili hi xivutiso/xiringanyeto xihi na xihi.']
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
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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.
Always seek the advice of your doctor or other qualified health provider regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have read on this website. If you think you may have a medical emergency, call 911 or go to the nearest emergency room immediately. No physician-patient relationship is created by this web site or its use. Neither BioMedLib nor its employees, nor any contributor to this web site, makes any representations, express or implied, with respect to the information provided herein or to its use.
Disclaimer: copyright
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['Hi ku komisa']
['BioMedLib yi tirhisa tikhompyuta leti nga lo endliwa (ti-algorithm ta michini) ku endla swivutiso ni tinhlamulo.']
['Hi sungula hi minkandziyiso ya swa vutshunguri ya 35 wa timiliyoni ya PubMed/Medline. Nakambe, matluka ya Web ya RefinedWeb.']
