Ho tseba hore motho o tla ba le kankere ea matšoafo ho itšetlehile ka lintho tse'maloa, tse akarelletsang hore na kankere e se e fihlile boemong bofe, mofuta oa kankere ea matšoafo le hore na mokuli o phetse hantle hakae.
Kankere ea matšoafo e se nang lisele tse nyenyane, e leng mofuta o atileng ka ho fetisisa, e na le tekanyo ea ho pholoha ka lilemo tse 5 ea hoo e ka bang 18% bakeng sa mekhahlelo eohle e kopantsoeng.
Leha ho le joalo, haeba kankere e fumanoa e sa le ka nako, tekanyo ea ho pholoha ka lilemo tse 5 e ka ba holimo ho 57%.
Ke habohlokoa ho hlokomela hore tsena ke lipalo-palo tse akaretsang'me liphello tsa motho ka mong li ka fapana.
Mekhoa ea ho phekola le tsoelo - pele ea bongaka e ntse e tsoela pele ho ntlafala,'me bakuli ba bangata ba ka phela nako e telele le ho phela hantle ha ba fumana tlhokomelo e nepahetseng.
Martini B: [Lung cancer--epidemiology, prognosis and therapy]. Med Monatsschr Pharm. 2006, 29 (6): 217-21.
Zou T, Liu JY, She L, Yin JY, Li X, Li XP, Zhou HH, Chen J, Liu ZQ: The Association Between Heat-Shock Protein Polymorphisms and Prognosis in Lung Cancer Patients Treated With Platinum-Based Chemotherapy. Front Pharmacol. 2020, 11 (): 1029.
Li L, Zhou Q, Luo D, Xu Y, Yang H, Zhang S, Li A, Li H, Lv C: [A study on the relationship between lung cancer cell apoptosis and prognosis in patients with human non-small cell lung cancer.]. Zhongguo Fei Ai Za Zhi. 1998, 1 (2): 70-3.
Feng YY, Yang Y, Wang YY, Bai XX, Hai P, Zhao R: [Hypomethylation of DAPL1 associated with prognosis of lung cancer patients with EGFR Del19 mutation]. Zhonghua Zhong Liu Za Zhi. 2021, 43 (12): 1264-1268.
Xiao Y, Zhu S, Yin W, Liu X, Hu Y: IGFBP-4 expression is adversely associated with lung cancer prognosis. Oncol Lett. 2017, 14 (6): 6876-6880.
Lang J, Zhao Q, He Y, Yu X: Bone turnover markers and novel biomarkers in lung cancer bone metastases. Biomarkers. 2018, 23 (6): 518-526.
['Tlhokomeliso: tsa bongaka']
["Websaete ena e etselitsoe ho ruta le ho fana ka boitsebiso feela'me ha e fane ka keletso ea bongaka kapa litšebeletso tsa litsebi."]
["Boitsebiso bo fanoeng ha boa lokela ho sebelisoa ho hlahloba kapa ho phekola bothata ba bophelo bo botle kapa lefu,'me ba batlang keletso ea bongaka ba lokela ho buisana le ngaka e nang le lengolo la tumello."]
['Ka kōpo hlokomela hore neural net e hlahisang likarabo lipotsong, ha e nepahale haholo-holo ha ho tluoa linomorong.']
["Kamehla batla keletso ea ngaka ea hao kapa mofani e mong ea tšoanelehang oa tlhokomelo ea bophelo mabapi le boemo ba bongaka. Le ka mohla u se ke ua hlokomoloha keletso ea setsebi sa bongaka kapa ua lieha ho e batla ka lebaka la ntho eo u e balileng websaeteng ena. Haeba u nahana hore u ka 'na ua ba le boemo ba tšohanyetso ba bongaka, letsetsa 911 kapa u ee kamoreng ea tšohanyetso e haufi hang-hang. Ha ho kamano ea ngaka le mokuli e bōptjoang ke websaeteng ena kapa tšebeliso ea eona. BioMedLib kapa basebetsi ba eona, kapa motho leha e le ofe ea tlatsetsang ho websaeteng ena, ha a etse litemoso, tse hlakileng kapa tse sa hlakang, mabapi le boitsebiso bo fanoeng mona kapa tšebeliso ea eona."]
['Tlhokomeliso: litokelo tsa bangoli']
['Molao oa Digital Millennium Copyright Act oa 1998, 17 U.S.C. § 512 (DMCA) o fana ka litokelo tsa beng ba litokelo tsa bangoli ba lumelang hore thepa e hlahang Inthaneteng e hatakela litokelo tsa bona tlasa molao oa litokelo tsa bangoli ba U.S. ']
['Haeba u lumela ka tumelo e ntle hore litaba leha e le life kapa thepa e fumanehang mabapi le websaeteng kapa litšebeletso tsa rona e tlōla litokelo tsa hau tsa molao, uena (kapa moemeli oa hau) a ka re romella tsebiso e kōpang hore litaba kapa thepa e tlosoe, kapa ho fihlella ho eona ho thibeloe. ']
['Ditsebiso di tlameha ho romelwa ka lengolo ka imeile (bona karolo ya "Ho iteanya" bakeng sa aterese ya imeile). ']
["DMCA e hloka hore tsebiso ea hao ea ho tlōla ha molao ho boleloang hore e na le boitsebiso bo latelang: (1) tlhaloso ea mosebetsi o sirelelitsoeng ka molao o boleloang hore o tlōloa; (2) tlhaloso ea litaba tse boleloang hore li tlōla molao le boitsebiso bo lekaneng ho re lumella ho fumana litaba; (3) boitsebiso ba ho ikopanya le uena, ho akarelletsa aterese ea hau, nomoro ea fono le aterese ea imeile; (4) polelo ea hau ea hore u na le tumelo e ntle ea hore litaba ka tsela e belaelloang ha e lumelloe ke mong'a litokelo tsa molao, kapa moemeli oa eona, kapa ka ts'ebetso ea molao leha e le ofe; "]
['(5) polelo e saennweng ke wena, tlasa kotlo ya ho hlapanya leshano, ya hore tlhahisoleseding e tsebisong e nepahetse le hore o na le matla a ho tiisa ditokelo tsa mongodi tseo ho thweng di a tlolwa; ']
["le (6) ho saena ka letsoho kapa ka elektronike ha mong'a litokelo tsa bangoli kapa motho ea lumeletsoeng ho nka khato lebitsong la mong'a litokelo tsa bangoli. "]
['Ho hloleha ho kenyelletsa tlhahisoleseding yohle e ka hodimo ho ka baka ho dieha ha ho sebetswa tletlebo ya hao.']
['Ho Iteanya']
['Ka kōpo re romelle imeile ka potso / tlhahiso leha e le efe.']
What is prognosis of lung cancer?
The prognosis of lung cancer depends on several factors, including the stage of the cancer, the type of lung cancer, and the overall health of the patient.
Non-small cell lung cancer, which is the most common type, has a 5-year survival rate of about 18% for all stages combined.
However, if the cancer is caught early, the 5-year survival rate can be as high as 57%. Small cell lung cancer, which is less common, has a 5-year survival rate of about 7% for all stages combined.
It is important to note that these are general statistics and individual outcomes may vary.
Treatment options and advancements in medicine continue to improve, and many patients can live longer and have a better quality of life with proper care and management.
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.
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['Hoo e ka bang']
["BioMedLib e sebelisa lik'homphieutha tse iketsang (machine-learning algorithms) ho hlahisa lipotso le likarabo."]
['Re qala ka lingoliloeng tse limilione tse 35 tsa biomedical tsa PubMed/Medline. Hape, maqephe a websaete a RefinedWeb.']
