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Enregistrement W2560322684 · doi:10.1001/jamaoncol.2016.5688

Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 2015

2016· article· en· W2560322684 sur OpenAlexaff
Christina Fitzmaurice, Christine A. Allen, Ryan M Barber, Lars Barregård, Zulfiqar A Bhutta, Hermann Brenner, Daniel Dicker, Odgerel Chimed‐Ochir, Rakhi Dandona, Lalit Dandona, Tom Fleming, Mohammad H. Forouzanfar, Jamie Hancock, Roderick J. Hay, Rachel Hunter‐Merrill, Chantal Huynh, Hung Chak Ho, Catherine O. Johnson, Jost B Jonas, Jagdish Khubchandani, G Anil Kumar, Michael Kutz, Qing Lan, Heidi J. Larson, Xiaofeng Liang, Stephen S Lim, Alan D Lopez, Michael F MacIntyre, Laurie B. Marczak, Neal Marquez, Ali H. Mokdad, Christine Pinho, Farshad Pourmalek, Joshua A. Salomon, Juan Sanabria, Logan Sandar, Benn Sartorius, Stephen M. Schwartz, Katya Anne Shackelford, Kenji Shibuya, Jeffrey D Stanaway, Caitlyn Steiner, Jiandong Sun, Ken Takahashi, Theo Vos, Joseph A. Wagner, Haidong Wang, Ronny Westerman, Hajo Zeeb, Leo Zoeckler, Foad Abd-Allah, Muktar Beshir Ahmed, Samer Alabed, Noore Alam, Saleh Fahed Aldhahri, Girma Alem, Mulubirhan Assefa Alemayohu, Raghib Ali, Rajaa Al‐Raddadi, Azmeraw T. Amare, Yaw Ampem Amoako, Al Artaman, Hamid Asayesh, Niguse Tadele Atnafu, Ashish Awasthi, Huda Ba Saleem, Aleksandra Barać, Neeraj Bedi, Isabela M. Benseñor, Adugnaw Berhane, Eduardo Bernabé, Balem Demtsu Betsu, Agnès Binagwaho, Dube Jara Boneya, Ismael Campos‐Nonato, Carlos A Castañeda-Orjuela, Ferrán Catalá-López, Peggy Pei-Chia Chiang, Chioma Chibueze, Abdulaal Chitheer, Jee-Young Jasmine Choi, Solomon Abrha Damtew, José das Neves, Suhojit Dey, Samath Dhamminda Dharmaratne, Preet K. Dhillon, Eric L. Ding, Tim Driscoll, Donatus U. Ekwueme, Aman Yesuf Endries, Maryam S. Farvid, Farshad Farzadfar, João Carlos Fernandes, Florian Fischer, Alemseged Aregay Gebru, Sameer Vali Gopalani, Alemayehu Hailu, Masako Horino, Nobuyuki Horita, Abdullatif Husseini, Inge Huybrechts, Manami Inoue, Farhad Islami, Mihajlo Jakovljević, Spencer L James, Mehdi Javanbakht, Sun Ha Jee, Amir Kasaeian, Muktar Sano Kedir, Yousef Khader, Young‐Ho Khang, Daniel Kim, James Leigh, Shai Linn, Raimundas Lunevičius, Hassan Magdy Abd El Razek, Reza Malekzadeh, Déborah Carvalho Malta, Wagner Marcenes, Desalegn Markos, Yohannes Adama Melaku, Kidanu Gebremariam Meles, Walter Mendoza, Desalegn Tadese Mengiste, Tuomo J Meretoja, Ted R. Miller, Karzan Abdulmuhsin Mohammad, Alireza Mohammadi, Shafiu Mohammed, Maziar Moradi‐Lakeh, Gabriele Nagel, Devina Nand, Quyen Le Nguyen, Sandra Nolte, Felix Akpojene Ogbo, Kelechi Elizabeth Oladimeji, Eyal Oren, P A Mahesh, Eun‐Kee Park, David M. Pereira, Dietrich Plaß, Mostafa Qorbani, Amir Radfar, Anwar Rafay, Mahfuzar Rahman, Kjetil Søreide, Maheswar Satpathy, Monika Sawhney, Sadaf G Sepanlou, Masood Ali Shaikh, Jun She, Ivy Shiue, Mark G. Shrime, Samuel So, Samir Soneji, Vasiliki Stathopoulou, Konstantinos Stroumpoulis, Mu’awiyyah Babale Sufiyan, Bryan L. Sykes, Rafael Tabarés‐Seisdedos, Fentaw Tadese, Bemnet Tedla, Gizachew Assefa Tessema, JS Thakur, Bach Xuan Tran, Kingsley Nnanna Ukwaja, Benjamin S. Chudi Uzochukwu, Vasily Vlassov, Elisabete Weiderpass, Mamo Wubshet Terefe, Henock G. Yebyo, Naohiro Yonemoto, Mustafa Z Younis, Chuanhua Yu, Zoubida Zaidi, Maysaa El Sayed Zaki, Zerihun Menlkalew Zenebe, Christopher J L Murray, Mohsen Naghavi

Notice bibliographique

RevueJAMA Oncology · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueGlobal Cancer Incidence and Screening
Établissements canadiensUniversity of ManitobaOttawa HospitalUniversity of British Columbia
Organismes subventionnairesNational Heart, Lung, and Blood InstituteMedical Research CouncilAudrey and Theodor Geisel School of Medicine at DartmouthNorris Cotton Cancer CenterUniversity of California, IrvineTehran University of Medical Sciences and Health ServicesNational Institutes of HealthWestern Sydney UniversityMekelle UniversityUniversität UlmAddis Ababa UniversityNorthumbria UniversityUniversity of GondarNational Research University Higher School of EconomicsSeoul National UniversityUniversidade do PortoUniversitetet i TromsøBaqiyatallah University of Medical SciencesUniversity of HaifaJimma UniversityHaramaya UniversityUniversitetet i BergenSamfundet FolkhälsanShiraz University of Medical SciencesUniversity Of Nigeria NsukkaInyuvesi Yakwazulu-NataliMassachusetts General HospitalUniversidade Federal de Minas GeraisWuhan UniversityNational Center for Chronic Disease Prevention and Health PromotionJordan University of Science and TechnologyAhmadu Bello UniversityFudan UniversityUniversität BielefeldKosin UniversityUmweltbundesamtNewcastle UniversityUnited Nations Population FundKarolinska InstitutetYonsei UniversityPacific Institute for Research and EvaluationBirzeit UniversityTrường Đại học Duy TânIran University of Medical SciencesCurtin University of TechnologyDartmouth CollegeCenters for Disease Control and PreventionNational Institute on Minority Health and Health DisparitiesJackson State UniversityJohns Hopkins UniversityAlborz University of Medical SciencesNational Institute for Health and Care ResearchWorld Health OrganizationShiraz University
Mots-clésMedicineYears of potential life lostDemographyCancerLife expectancyPopulationCancer registryIncidence (geometry)Lung cancerMortality rateGerontologyEnvironmental healthSurgeryOncologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

IMPORTANCE: Cancer is the second leading cause of death worldwide. Current estimates on the burden of cancer are needed for cancer control planning. OBJECTIVE: To estimate mortality, incidence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 32 cancers in 195 countries and territories from 1990 to 2015. EVIDENCE REVIEW: Cancer mortality was estimated using vital registration system data, cancer registry incidence data (transformed to mortality estimates using separately estimated mortality to incidence [MI] ratios), and verbal autopsy data. Cancer incidence was calculated by dividing mortality estimates through the modeled MI ratios. To calculate cancer prevalence, MI ratios were used to model survival. To calculate YLDs, prevalence estimates were multiplied by disability weights. The YLLs were estimated by multiplying age-specific cancer deaths by the reference life expectancy. DALYs were estimated as the sum of YLDs and YLLs. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility. Countries were categorized by SDI quintiles to summarize results. FINDINGS: In 2015, there were 17.5 million cancer cases worldwide and 8.7 million deaths. Between 2005 and 2015, cancer cases increased by 33%, with population aging contributing 16%, population growth 13%, and changes in age-specific rates contributing 4%. For men, the most common cancer globally was prostate cancer (1.6 million cases). Tracheal, bronchus, and lung cancer was the leading cause of cancer deaths and DALYs in men (1.2 million deaths and 25.9 million DALYs). For women, the most common cancer was breast cancer (2.4 million cases). Breast cancer was also the leading cause of cancer deaths and DALYs for women (523 000 deaths and 15.1 million DALYs). Overall, cancer caused 208.3 million DALYs worldwide in 2015 for both sexes combined. Between 2005 and 2015, age-standardized incidence rates for all cancers combined increased in 174 of 195 countries or territories. Age-standardized death rates (ASDRs) for all cancers combined decreased within that timeframe in 140 of 195 countries or territories. Countries with an increase in the ASDR due to all cancers were largely located on the African continent. Of all cancers, deaths between 2005 and 2015 decreased significantly for Hodgkin lymphoma (-6.1% [95% uncertainty interval (UI), -10.6% to -1.3%]). The number of deaths also decreased for esophageal cancer, stomach cancer, and chronic myeloid leukemia, although these results were not statistically significant. CONCLUSION AND RELEVANCE: As part of the epidemiological transition, cancer incidence is expected to increase in the future, further straining limited health care resources. Appropriate allocation of resources for cancer prevention, early diagnosis, and curative and palliative care requires detailed knowledge of the local burden of cancer. The GBD 2015 study results demonstrate that progress is possible in the war against cancer. However, the major findings also highlight an unmet need for cancer prevention efforts, including tobacco control, vaccination, and the promotion of physical activity and a healthy diet.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,062
Score d'incertitude au seuil0,123

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,008
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,003
Bibliométrie0,0060,009
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,113
Tête enseignante GPT0,408
Écart entre enseignants0,295 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6 310
Publié2016
Routes d'admission1
Résumé présentoui

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