A 50% higher prevalence of life-shortening chronic conditions among cancer patients with low socioeconomic status.
about
Dietary interventions for adult cancer survivorsSocioeconomic status and health-related quality of life among patients with prostate cancer 6 months after radical prostatectomy: a longitudinal analysisThe impact of comorbidity on cancer and its treatmentCigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies.The role of receipt and timeliness of treatment in socioeconomic inequalities in lung cancer survival: population-based, data-linkage study.Emergency admission and survival from aggressive non-Hodgkin lymphoma: A report from the UK's population-based Haematological Malignancy Research NetworkThe role of patient, tumour and system factors in socioeconomic inequalities in lung cancer treatment: population-based study.Addressing risk factors for child abuse among high risk pregnant women: design of a randomised controlled trial of the nurse family partnership in Dutch preventive health care.Utility of Preoperative CA125 Assay in the Management Planning of Women Diagnosed with Uterine Cancer.Socioeconomic disparity in survival after breast cancer in ireland: observational study.Risk-reduction opportunities in breast cancer survivors: capitalizing on teachable moments.Who are the cancer survivors? A nationwide study in Denmark, 1943-2010Family history of cancer and the risk of squamous cell carcinoma of oesophagus: a case-control study in Kashmir, IndiaSocial differences in lung cancer management and survival in South East England: a cohort study.Lower treatment intensity and poorer survival in metastatic colorectal cancer patients who live alone.Small but significant socioeconomic inequalities in axillary staging and treatment of breast cancer in the NetherlandsThe Impact of Socioeconomic Status, Surgical Resection and Type of Hospital on Survival in Patients with Pancreatic Cancer. A Population-Based Study in The Netherlands.Low glycemic index diet, exercise and vitamin D to reduce breast cancer recurrence (DEDiCa): design of a clinical trialSocial determinants of health in Canada: are healthy living initiatives there yet? A policy analysis.Risk factors for not completing health interventions and the potential impact on health inequalities between educational groups - a mixed method study from DenmarkSocioeconomic position and survival after cervical cancer: influence of cancer stage, comorbidity and smoking among Danish women diagnosed between 2005 and 2010.Race, Social and Environmental Conditions, and Health Behaviors in Men.Quantifying the contributions of behavioral and biological risk factors to socioeconomic disparities in coronary heart disease incidence: the MORGEN study.Racial and Ethnic Disparities in Hematologic Malignancies.Education predicts cervical cancer survival: a Lithuanian cohort study.Association of Human Development Index with global bladder, kidney, prostate and testis cancer incidence and mortality.Educational differentials in cancer mortality and avoidable deaths in Lithuania, 2001-2009: a census-linked study.Does stage of cancer, comorbidity or lifestyle factors explain educational differences in survival after endometrial cancer? A cohort study among Danish women diagnosed 2005-2009.Socioeconomic inequalities in relative survival of rectal cancer most obvious in stage III.Increasing prevalence of comorbidity in patients with colorectal cancer in the South of the Netherlands 1995-2010.Nationwide trends in chemotherapy use and survival of elderly patients with metastatic pancreatic cancer.Nationwide outcomes in patients undergoing surgical exploration without resection for pancreatic cancer.Multiple primary cancer survivors have poorer health status and well-being than single primary cancer survivors: a study from the population-based PROFILES registry.Improvement in population-based survival of stage IV NSCLC due to increased use of chemotherapy.The association between socioeconomic status and tumour stage at diagnosis of ovarian cancer: A pooled analysis of 18 case-control studies.Association of Genetic Variants of CYP2C19 and CYP2D6 with Esophageal Squamous Cell Carcinoma Risk in Northern India, Kashmir.Metabolic components and recurrence in early-stage cervical cancer.Gene-environment interactions on the risk of esophageal cancer among Asian populations with the G48A polymorphism in the alcohol dehydrogenase-2 gene: a meta-analysis.Implications of patients' socioeconomic status - what oncologists should be aware of.Trends in treatment and survival of patients with nonresected, nonmetastatic pancreatic cancer: A population-based study
P2860
Q24194205-0B076A3E-C2D0-4511-81B3-1AB3E7178D07Q24658522-F677AF3F-4226-4106-B8FE-470B7318FF01Q26764935-89D7928C-25CA-4C79-BD6A-9E5A5357BE94Q30275068-D8D40B94-10EB-48B4-9559-CB4F2B8DDB13Q30830775-066B0A83-BF89-4C41-9412-B1859E45FA19Q33732402-52891B89-0BAB-4C13-ADA4-5AF5DC67F49FQ33994360-DA6E512D-DE38-4F43-B6C3-5435F3BB14E3Q34053908-FC74429A-CE3C-4CC4-A3ED-80255A9C7D7BQ34399418-973B7889-EE91-4366-8B1A-24C5938C8F8AQ34456663-7E798BBD-D0CC-4BE7-879D-31A021FD1A9CQ35137632-84A76855-AEF5-44EC-9BC1-E1912575AEEDQ35677939-63CB8D1B-EBFD-4F74-B27A-967E07065D26Q35909606-0FD96E4E-C97C-4BEC-B0AC-1087AFF62B2FQ36008023-05C67E02-472C-4FAE-B489-3B0907039BFEQ36075184-E0854754-C2E2-4B67-93AA-886022199471Q36075221-84116DC7-02A2-40C8-A874-61868A3999DAQ36188807-1230BE44-F72A-43A5-8864-070C34D39A4AQ36257907-572687B5-8C5E-44A1-9A03-6CDD7251E52EQ36380508-DCCEA909-FF88-4EE6-BAB7-00C618434984Q36749203-36A27716-5ED9-4959-925D-1C3FBD3F4A46Q37279222-74C755F3-7BF1-45E1-89D6-D0CA225D87D6Q37313762-F8837AA9-07CE-4A77-B8DA-E32B18716998Q37351999-E40DE162-6DA4-448F-BCF6-6B3CEB496319Q38654981-99FEE056-764C-45FD-9FF1-336BD6B92A65Q39003483-F21AA079-A4F4-4027-B880-921D6655DBE7Q40211198-12DD6227-B4B2-4EA8-9093-72A2D3DD7F83Q40476902-DD2B482D-DBD5-4B2C-BBD2-EFE3CFE54878Q40769621-67CF43C3-737F-4AC5-A702-BC1B9EE391BAQ43573009-077F1F6F-EF82-4234-B817-D45AC9873992Q44482254-326A1B2B-453D-40FA-88D0-B7DBFAE6746DQ47151308-CAA5B6F6-3C56-4511-B86B-BCD6CDDEB1CAQ48194931-A8CF7F18-09FB-4ED2-AA86-F15E7374EAAEQ48344026-273BFD19-FB39-485E-8E66-7034C783AE99Q48544302-C34AAEED-124D-4BFF-8B1D-1B4058E7A9A3Q50709318-8167EDFC-E83C-40CF-959E-1EC21D283E54Q51075597-4DDF833E-1CA0-4CAD-BD02-7B588C47B903Q51312709-9B1D56DB-6CFD-4F80-9450-4223B3EA36F9Q53134605-5B020FE9-A672-4447-AC0D-335D41F1CD30Q54455800-1606BB79-45C6-44A8-82EA-D83512768FD6Q57159990-09BAC98F-A054-4BC6-ADED-98C79C38C6CA
P2860
A 50% higher prevalence of life-shortening chronic conditions among cancer patients with low socioeconomic status.
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
A 50% higher prevalence of lif ...... with low socioeconomic status.
@ast
A 50% higher prevalence of lif ...... with low socioeconomic status.
@en
A 50% higher prevalence of lif ...... with low socioeconomic status.
@nl
type
label
A 50% higher prevalence of lif ...... with low socioeconomic status.
@ast
A 50% higher prevalence of lif ...... with low socioeconomic status.
@en
A 50% higher prevalence of lif ...... with low socioeconomic status.
@nl
prefLabel
A 50% higher prevalence of lif ...... with low socioeconomic status.
@ast
A 50% higher prevalence of lif ...... with low socioeconomic status.
@en
A 50% higher prevalence of lif ...... with low socioeconomic status.
@nl
P2093
P2860
P356
P1476
A 50% higher prevalence of lif ...... with low socioeconomic status.
@en
P2093
F J van Lenthe
J W W Coebergh
M L G Janssen-Heijnen
S Houterman
W J Louwman
P2860
P2888
P304
P356
10.1038/SJ.BJC.6605949
P407
P577
2010-10-26T00:00:00Z
P5875
P6179
1053093727