E vakacava sara mada na rerevaki ni kenisa ni sucu?
E mate rerevaki na kenisa ni sucu.
E laurai ni levu na yalewa e vuravura era tauvi ira vakalevu na kenisa oqo.
Me vaka na American Cancer Society, ena 20220, e rauta ni 276,480 na kisi vou ni kenisa ni sucu e kunei vei ira na marama e Amerika, ka rauta ni 42,170 na marama e Amerika era mate ena kenisa ni sucu.
Ia, na mate ni kenisa ni sucu e sa lutu sobu mai na 1989, kei na dua na lutu 40% ena mate ni kenisa ni sucu mai na 1989 ki na 2017, vakalevu ena vuku ni kena vakatorocaketaki na kilai totolo kei na veiqaravi.
E duidui na ka e rawa ni vakavuna na kenisa ni sucu, me vaka na yabaki ni bula, na kena ivakatagedegede, kei na kena mataqali.
Ke kilai totolo qai qaravi vakavuniwai, ena rawa ni bula kina e dua.
van Schoor G, Moss SM, Otten JD, Donders R, Paap E, den Heeten GJ, Holland R, Broeders MJ, Verbeek AL: Increasingly strong reduction in breast cancer mortality due to screening. Br J Cancer. 2011, 104 (6): 910-4.
DeSantis CE, Ma J, Gaudet MM, Newman LA, Miller KD, Goding Sauer A, Jemal A, Siegel RL: Breast cancer statistics, 2019. CA Cancer J Clin. 2019, 69 (6): 438-451.
Icaza G, Núñez L, Bugueño H: [Epidemiological analysis of breast cancer mortality in women in Chile]. Rev Med Chil. 2017, 145 (1): 106-114.
Monticciolo DL, Newell MS, Hendrick RE, Helvie MA, Moy L, Monsees B, Kopans DB, Eby PR, Sickles EA: Breast Cancer Screening for Average-Risk Women: Recommendations From the ACR Commission on Breast Imaging. J Am Coll Radiol. 2017, 14 (9): 1137-1143.
Deaths from breast cancer--United States, 1991. MMWR Morb Mortal Wkly Rep. 1994, 43 (15): 273, 279-81.
Kuroishi T, Hirose K, Suzuki T, Tominaga S: Effectiveness of mass screening for breast cancer in Japan. Breast Cancer. 2000, 7 (1): 1-8.
['iVakamacala: veiqaravi vakavuniwai']
['Na website qo e vakarautaki me baleta ga na vuli kei na itukutuku, e sega ni kena inaki me soli kina na ivakasala vakavuniwai se veiqaravi vakavuniwai.']
['Na itukutuku e vakarautaki e sega ni dodonu me vakayagataki me dikevi kina se me qaravi kina e dua na mate, o ira tale ga na via qara ivakasala vakavuniwai mera lai raici vuniwai.']
['Me nanumi tiko ni neural network e dau vakarautaka na isaunitaro e sega ni dau donu ena gauna e cakacakataki kina na iwiliwili, me vaka na kedra iwiliwili na tauvimate.']
['Ke o nanuma ni o tauvimate bibi, qirita na 911 se gole ina vanua ni veiqaravi e voleka vei iko. E sega ni dua na veiwekani e tauyavutaki ena website qo se na kena vakayagataki. E sega ni dua na ka e tukuna se cakava na BioMedLib se o ira na kena tamata cakacaka, se o ira na vakaitavi ena website qo me baleta na itukutuku e tiko kina se na kena vakayagataki.']
['Disclaimer: dodonu ni lavelavetaki']
['Na Digital Millennium Copyright Act ni 1998, 17 U.S.C. § 512 (na DMCA) e vakarautaka na recourse me baleta na itaukei ni dodonu ni lavelavetaki era vakabauta ni iyaya e basika ena Initaneti e voroka na nodra dodonu ena ruku ni lawa ni dodonu ni lavelavetaki ni Amerika. ']
['Ke o vakabauta ni dua na ka e tabaki ena neimami website se na neimami veiqaravi e beci kina na nomu dodonu ni kena maroroi na itukutuku, o iko (se nomu mata) e rawa ni o vakauta mai e dua na notisi mo kerea me kau laivi se me tarovi na kena vakayagataki. ']
['Me vakau na itukutuku ena i-meli (raica na "Veitaratara" ena tabana e baleta na itikotiko ni imeli). ']
['Na DMCA e gadrevi kina na nomu itukutuku ni kena beitaki ni beci na dodonu ni lavelavetaki e oka kina na itukutuku oqo: (1) ivakamacala ni cakacaka ni taqomaki ni dodonu ni lavelavetaki e tukuni ni sa beci; (2) ivakamacala ni lewena e beitaki ni beci kei na itukutuku e veirauti me rawa kina ni da kunea na lewena; (3) itukutuku ni veitaratara me baleti iko, oka kina na nomu itikotiko, naba ni talevoni kei na itikotiko ni imeli; (4) e dua na itukutuku mai vei iko ni o vakabauta ena vakabauta vinaka ni lewena ena kena ivakarau e kudruvaka e sega ni vakadonui mai vua na itaukei ni dodonu ni lavelavetaki, se na kena mata, se ena cakacaka ni dua na lawa; ']
['(5) e dua na nomu ivakamacala, e sainitaki ena itotogi ni bubului lasu, ni dina na itukutuku e volai ena notisi, ni tu tale ga vei iko na dodonu mo valataka na dodonu ni kena taqomaki na ka e volai; ']
['E sega ni dodonu me dua na ka e caka ena kena vakayagataki na Internet.']
['Ke o sega ni vola na itukutuku kece qori, ena rawa ni berabera na kena qaravi na nomu kudru.']
['Veitaratara']
['Yalovinaka vakauta mai na imeli ena dua na taro se vakatutu.']
How deadly is breast cancer?
Breast cancer is a serious and potentially deadly disease.
It is the most common cancer among women worldwide and the second leading cause of cancer death in women.
According to the American Cancer Society, in 20220, an estimated 276,480 new cases of invasive breast cancer were diagnosed in women in the United States, and about 42,170 women in the U.S. died from breast cancer.
However, the death rate from breast cancer has been declining since 1989, with a 40% decrease in the breast cancer death rate from 1989 to 2017, largely due to improvements in early detection and treatment.
The risk of dying from breast cancer varies depending on factors such as age, stage at diagnosis, and the type of breast cancer.
Early detection and treatment can significantly improve the chances of survival.
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.
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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['Rauta na']
['Na BioMedLib e vakayagataka na kompiuta (machine-learning algorithms) me bulia na taro kei na kena isau.']
['Eda tekivu ena 35 na milioni na ivola vakavuniwai e tabaki ena PubMed/Medline, kei na tabana ni RefinedWeb.']
