Symptoms and risk factors to identify women with suspected cancer in primary care: derivation and validation of an algorithm.
about
A geographical cluster randomised stepped wedge study of continuing medical education and cancer diagnosis in general practice.Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.Increasing awareness of gynaecological cancer symptoms: a GP perspectiveThe Improving Rural Cancer Outcomes (IRCO) Trial: a factorial cluster-randomised controlled trial of a complex intervention to reduce time to diagnosis in rural patients with cancer in Western Australia: a study protocolDevelopment and validation of a clinical prediction rule to identify suspected breast cancer: a prospective cohort studyDevelopment and validation of risk prediction algorithms to estimate future risk of common cancers in men and women: prospective cohort study.Cancer detection in primary care: insights from general practitioners.Preliminary results of a feasibility study of the use of information technology for identification of suspected colorectal cancer in primary care: the CREDIBLE studyImplementing a QCancer risk tool into general practice consultations: an exploratory study using simulated consultations with Australian general practitioners.Risk prediction models for colorectal cancer in people with symptoms: a systematic review.Promoting Help-Seeking in Response to Symptoms amongst Primary Care Patients at High Risk of Lung Cancer: A Mixed Method Study.Lung cancer in symptomatic patients presenting in primary care: a systematic review of risk prediction tools.Evaluating a computer aid for assessing stomach symptoms (ECASS): study protocol for a randomised controlled trial.Symptoms, CA125 and HE4 for the preoperative prediction of ovarian malignancy in Brazilian women with ovarian masses.Development of an algorithm to identify urgent referrals for suspected cancer from the Danish Primary Care Referral Database.Incorporating cancer risk information into general practice: a qualitative study using focus groups with health professionalsOncology in midlife and beyond.The role of primary care in early detection and follow-up of cancer.Early Clinical Features in Systemic Lupus Erythematosus: Can They Be Used to Achieve Earlier Diagnosis? A Risk Prediction Model.Primary care management of women with breast cancer-related concerns-a dynamic cohort study using a network database.Investigations and referral for suspected cancer in primary care in New Zealand-A survey linked to the International Cancer Benchmarking Partnership.Development and validation of QMortality risk prediction algorithm to estimate short term risk of death and assess frailty: cohort study.Assessment of cancer risk in men and women.Responses to provision of personalised cancer risk information: a qualitative interview study with members of the public.The Improving Rural Cancer Outcomes Trial: a cluster-randomised controlled trial of a complex intervention to reduce time to diagnosis in rural cancer patients in Western Australia.Derivation of a prediction model for a diagnosis of depression in young adults: a matched case-control study using electronic primary care records.Can granulomatosis with polyangiitis be diagnosed earlier in primary care? A case-control study.Symptoms and risk factors to identify people with suspected cancer in primary care.
P2860
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P2860
Symptoms and risk factors to identify women with suspected cancer in primary care: derivation and validation of an algorithm.
description
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name
Symptoms and risk factors to i ...... nd validation of an algorithm.
@ast
Symptoms and risk factors to i ...... nd validation of an algorithm.
@en
type
label
Symptoms and risk factors to i ...... nd validation of an algorithm.
@ast
Symptoms and risk factors to i ...... nd validation of an algorithm.
@en
prefLabel
Symptoms and risk factors to i ...... nd validation of an algorithm.
@ast
Symptoms and risk factors to i ...... nd validation of an algorithm.
@en
P2860
P356
P1476
Symptoms and risk factors to i ...... nd validation of an algorithm.
@en
P2860
P304
P356
10.3399/BJGP13X660733
P577
2013-01-01T00:00:00Z