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1.
Background
Earlier diagnosis of colorectal cancer could help improve survival so better tools are needed to help this.Aim
To derive and validate an algorithm to quantify the absolute risk of colorectal cancer in patients in primary care with and without symptoms.Design and setting
Cohort study using data from 375 UK QResearch® general practices for development and 189 for validation.Method
Included patients were aged 30–84 years, free at baseline from a diagnosis of colorectal cancer and without rectal bleeding, abdominal pain, appetite loss, or weight loss in the previous 12 months. The primary outcome was incident diagnosis of colorectal cancer recorded in the next 2 years. Risk factors examined were age, body mass index, smoking status, alcohol status, deprivation, diabetes, inflammatory bowel disease, family history of gastrointestinal cancer, gastrointestinal polyp, history of another cancer, rectal bleeding, abdominal pain, abdominal distension, appetite loss, weight loss, diarrhoea, constipation, change of bowel habit, tiredness, and anaemia. Cox proportional hazards models were used to develop separate risk equations in males and females. Measures of calibration and discrimination assessed performance in the validation cohort.Results
There were 4798 incident cases of colorectal cancer from 4.1 million person-years in the derivation cohort. Independent predictors in males and females included family history of gastrointestinal cancer, anaemia, rectal bleeding, abdominal pain, appetite loss, and weight loss. Alcohol consumption and recent change in bowel habit were also predictors in males. On validation, the algorithms explained 65% of the variation in females and 67% in males. The receiver operating curve statistics were 0.89 (females) and 0.91 (males). The D statistic was 2.8 (females) and 2.9 (males). The 10% of patients with the highest predicted risks contained 71% of all colorectal cancers diagnosed over the next 2 yearsConclusion
The algorithm has good discrimination and calibration and could potentially be used to help identify those at highest risk of current colorectal cancer, to facilitate early referral and investigation. 相似文献2.
BackgroundLung cancer has one of the lowest survival outcomes of any cancer because more then two-thirds of patients are diagnosed when curative treatment is not possible. The challenge is to help earlier diagnosis of lung cancer and hence improve prognosis.AimTo derive and validate an algorithm incorporating information on symptoms, to estimate the absolute risk of having lung cancerMethodSelected patients were aged 30-84 years and free of lung cancer at baseline and haemoptysis, loss of appetite, orweight loss in previous 12 months. Primary outcome was incident diagnosis of lung cancer recorded in the next 2 years. Risk factors examined were: haemoptysis, appetite loss, weight loss, cough, dyspnoea, tiredness, hoarseness, smoking, body mass index, deprivation score, family history of lung cancer, other cancers, asthma, chronic obstructive airways disease, pneumonia, asbestos exposure, and anaemia. Cox proportional hazards models with age as the underlying time variable were used to develop separate risk equations in males and females. Measures of calibration and discrimination assessed performance in the validation cohort.ResultsThere were 3785 incident cases of lung cancer arising from 4 289 282 person-years in the derivation cohort. Independent predictors were haemoptysis, appetite loss, weight loss, cough, body mass index, deprivation score, smoking status, chronic obstructive airways disease, anaemia, and prior cancer (females only). On validation, the algorithms explained 72% of the variation. The receiver operating characteristic (ROC) statistics were 0.92 for both females and males. The D statistic was 3.25 for females and 3.29 for males. The 10% of patients with the highest predicted risks included 77% of all lung cancers diagnosed over the subsequent 2 years.ConclusionThe algorithm has good discrimination and calibration and could potentially be used to identify those at highest risk of lung cancer, to facilitate early referral and investigation. 相似文献
3.
Background
Pancreatic cancer has the worst survival for any cancer and is often diagnosed late when the cancer is advanced. Chances of survival are more likely if patients can be diagnosed earlier.Aim
To derive and validate an algorithm to estimate absolute risk of having pancreatic cancer in patients with and without symptoms in primary care.Design and setting
Cohort study using data from 375 UK QResearch® general practices for development and 189 for validation.Method
Included patients were aged 30–84 years, free at baseline from a diagnosis of pancreatic cancer and had not had dysphagia, abdominal pain, abdominal distension, appetite loss, or weight loss recorded in the preceding 12 months. The primary outcome was incident diagnosis of pancreatic cancer recorded in the following 2 years. Risk factors examined included: age, body mass index, smoking status, alcohol, deprivation, diabetes, pancreatitis, previous diagnosis of cancer apart from pancreatic cancer, dysphagia, abdominal pain, abdominal distension, appetite loss, weight loss, diarrhoea, constipation, tiredness, itching, and anaemia. Cox proportional hazards models were used to develop separate risk equations in males and females. Measures of calibration and discrimination assessed performance in the validation cohort.Results
There were a total of 1415 incident cases of pancreatic cancer from 4.1 million person-years in the derivation cohort. Independent predictors in both males and females were age, smoking, type 2 diabetes, chronic pancreatitis, abdominal pain, appetite loss, and weight loss. Abdominal distension was a predictor for females only; dysphagia and constipation were predictors for males only. On validation, the algorithms explained 59% of the variation in females and 62% in males. The receiver operating characteristic statistics were 0.84 (females) and 0.87 (males). The D statistic was 2.44 (females) and 2.61 (males). The 10% of patients with the highest predicted risks contained 62% of all pancreatic cancers diagnosed over the following 2 years.Conclusion
The algorithm has good discrimination and calibration and could potentially be used to help identify those at highest risk of pancreatic cancer to facilitate early referral and investigation. 相似文献4.
Background
Gastro-oesphageal is one of the most common cancers worldwide. Evidence suggested that increased awareness of symptoms and earlier diagnosis could help improve treatment options and improve survival.Aim
To derive and validate an algorithm to estimate the absolute risk of having gastro-oesophageal cancer in patients in primary care with and without symptoms.Design and setting
Cohort study of 375 UK QResearch® general practices for development, and 189 for validation.Method
Included patients were aged 30-84 years, free at baseline of a diagnosis of gastro-oesophageal cancer, and without dysphagia, haematemesis, abdominal pain, appetite loss, orweight loss recorded in previous 12 months. The primary outcome was incident diagnosis of gastro-oesophageal cancer recorded in the next 2 years. Risk factors examined were age, body mass index, alcohol status, smoking status, deprivation, family history of gastrointestinal cancer, dysphagia, previous diagnosis of cancer apart from gastro-oesophageal cancer, haematemesis, abdominal pain, appetite loss, weight loss, tiredness, and anaemia. Cox proportional hazards models were used to develop risk equations. Measures of calibration and discrimination assessed performance in the validation cohort.Results
There were 2527 incident cases of gastro-oesophageal cancer from 4.1 million person-years in the derivation cohort. Independent predictors were age, smoking, dysphagia, haematemesis, abdominal pain, appetite loss, weight loss, and anaemia. On validation, the algorithms explained 71% of the variation in females and 73% in males. The receiver operating curve statistics were 0.89 (females) and 0.92 (males). The D statistic was 3.2 (females) and 3.3 (males). The 10% of patients with the highest predicted risks included 77% of all gastro-oesophageal cancers diagnosed over the next 2 years.Conclusion
The algorithm has good performance and could potentially be used to help identify those at highest risk of gastro-oesophageal cancer, to facilitate early referral and investigation. 相似文献5.
Background
Early diagnosis of cancer could improve survival so better tools are needed.Aim
To derive an algorithm to estimate absolute risks of different types of cancer in women incorporating multiple symptoms and risk factors.Design and setting
Cohort study using data from 452 UK QResearch® general practices for development and 224 for validation.Method
Included patients were females aged 25–89 years. The primary outcome was incident diagnosis of cancer over the next 2 years (lung, colorectal, gastro-oesophageal, pancreatic, ovarian, renal tract, breast, blood, uterine, cervix, other). Factors examined were: ‘red flag’ symptoms including weight loss, abdominal pain, indigestion, dysphagia, abnormal bleeding, lumps; general symptoms including tiredness, constipation; and risk factors including age, family history, smoking, alcohol intake, deprivation, body mass index (BMI), and medical conditions. Multinomial logistic regression was used to develop a risk equation to predict cancer type. Performance was tested on a separate validation cohort.Results
There were 23 216 cancers from 1 240 864 females in the derivation cohort. The final model included risk factors (age, BMI, chronic pancreatitis, chronic obstructive pulmonary disease, diabetes, family history, alcohol, smoking, deprivation); 23 symptoms, anaemia and venous thrombo-embolism. The model was well calibrated with good discrimination. The receiver operating curve statistics were lung (0.91), colorectal (0.89), gastro-oesophageal (0.90), pancreas (0.87), ovary (0.84), renal (0.90), breast (0.88), blood (0.79), uterus (0.91), cervix (0.73), other cancer (0.82). The 10% of females with the highest risks contained 54% of all cancers diagnosed over 2 years.Conclusion
The algorithm has good discrimination and could be used to identify those at highest risk of cancer to facilitate more timely referral and investigation. 相似文献6.
Background
Early diagnosis of cancer could improve survival so better tools are needed.Aim
To derive an algorithm to estimate absolute risks of different types of cancer in men incorporating multiple symptoms and risk factors.Design and setting
Cohort study using data from 452 UK QResearch® general practices for development and 224 for validation.Method
Included patients were males aged 25–89 years. The primary outcome was incident diagnosis of cancer over the next 2 years (lung, colorectal, gastro-oesophageal, pancreatic, renal, blood, prostate, testicular, other cancer). Factors examined were: ‘red flag’ symptoms such as weight loss, abdominal distension, abdominal pain, indigestion, dysphagia, abnormal bleeding, lumps; general symptoms such as tiredness, constipation; and risk factors including age, family history, smoking, alcohol intake, deprivation score and medical conditions. Multinomial logistic regression was used to develop a risk equation to predict cancer type. Performance was tested on a separate validation cohort.Results
There were 22 521 cancers from 1 263 071 males in the derivation cohort. The final model included risk factors (age, BMI, chronic pancreatitis, COPD, diabetes, family history, alcohol, smoking, deprivation); 22 symptoms, anaemia and venous thrombo-embolism. The model was well calibrated with good discrimination. The receiver operator curve statistics values were: lung (0.92), colorectal (0.92), gastro-oesophageal (0.93), pancreas (0.89), renal (0.94), prostate (0.90) blood (0.83, testis (0.82); other cancers (0.86). The 10% of males with the highest risks contained 59% of all cancers diagnosed over 2 years.Conclusion
The algorithm has good discrimination and could be used to identify those at highest risk of cancer to facilitate more timely referral and investigation. 相似文献7.
Mia Schmidt-Hansen Sabine Berendse William Hamilton 《The British journal of general practice》2015,65(640):e769-e775
Background
Appropriate selection for further investigation of patients presenting in primary care with symptoms that may indicate cancer is key to early diagnosis.Aim
To quantify the risk of urinary tract cancer in patients presenting in primary care with symptoms that may indicate bladder or renal cancer.Design and setting
Systematic review of studies relating to bladder or renal cancer in primary care.Method
Databases searched were MEDLINE, PreMEDLINE, Embase, the Cochrane Library, Web of Science (SCI and SSCI), and ISI Proceedings from 1980 to August 2014, and PsycINFO (1980–2012) and BioMed Central (inception to 2012) for retrospective, prospective, or case-control diagnostic accuracy studies of symptomatic patients presenting to primary care with one or more symptoms for whom follow-up data were available. The target conditions were bladder or renal cancer. The studies were appraised using the QUADAS-2 tool.Results
Eleven studies with 3 451 675 patients were included. The positive predictive value (PPV) from meta-analysis of visible haematuria was 5.1% in adult patients. It increased with age and was higher in males. The PPVs of other single symptoms were very low, with the highest non-haematuria PPV being 1.4% for anaemia in males. Fewer data were available on the PPVs of symptom combinations. Generally, these data showed that, with the exception of symptom combinations including haematuria, these were very low.Conclusion
The only high-risk feature of bladder/renal cancer in primary care was visible haematuria, and this clearly warrants investigation. However, not all patients with one of these cancers experience haematuria, so a policy restricting investigation to patients with haematuria will inevitably delay the diagnosis in some patients. 相似文献8.
Colin McCowan Peter T Donnan John Dewar Alastair Thompson Tom Fahey 《The British journal of general practice》2011,61(586):e205-e214
Background
An evidence-based approach is needed to identify women with breast symptoms who are most likely to have breast cancer so that timely and appropriate referral can take place.Aim
To report the development and validation of a clinical prediction rule for the diagnosis of breast cancer.Design and setting
Cohort study with two prospective groups of women: those presenting to a symptomatic breast clinic (derivation cohort) and a separate cohort presenting to 11 general practices (validation cohort) in Tayside, Scotland.Method
Regression analysis was used to derive a clinical prediction rule from presenting symptoms, personal and family history, and clinical findings. Validation consisted of estimating the number of breast cancers predicted to occur compared with the actual number of observed breast cancers across deciles of risk.Results
In the derivation cohort of 802 patients, 59 (7%) were diagnosed with breast cancer. Independent clinical predictors for breast cancer were: increasing age by year (adjusted odds ratio [AOR] 1.10, 95% confidence interval [CI] = 1.07 to 1.13); presence of a discrete lump (AOR 15.20, 95% CI = 4.88 to 47.34); breast thickening (AOR 7.64, 95% CI = 2.23 to 26.11); lymphadenopathy (AOR 3.63, 95% CI = 1.33 to 9.92); and lump ≥2 cm (AOR 5.41, 95% CI = 2.36 to 12.38). All eight patients with skin tethering had breast cancer. The regression model had good predictive power, identifying all five breast cancers in the validation cohort of 97 patients in the top two deciles of risk.Conclusion
The clinical prediction rule discriminates between patients at high risk of breast cancer from those at low risk, and can be implemented as an evidence-based recommendation to enhance appropriate referral from general practice to a symptomatic breast clinic. Ongoing validation in further populations is required. 相似文献9.
Elizabeth Shephard Richard Neal Peter Rose Fiona Walter William T Hamilton 《The British journal of general practice》2013,63(609):e250-e255
Background
Kidney cancer accounts for over 4000 UK deaths annually, and is one of the cancer sites with a poor mortality record compared with Europe.Aim
To identify and quantify all clinical features of kidney cancer in primary care.Design
Case-control study, using General Practice Research Database records.Method
A total of 3149 patients aged ≥40 years, diagnosed with kidney cancer between 2000 and 2009, and 14 091 age, sex and practice-matched controls, were selected. Clinical features associated with kidney cancer were identified, and analysed using conditional logistic regression. Positive predictive values for features of kidney cancer were estimated.Results
Cases consulted more frequently than controls in the year before diagnosis: median 16 consultations (interquartile range 10–25) versus 8 (4–15): P<0.001. Fifteen features were independently associated with kidney cancer: visible haematuria, odds ratio 37 (95% confidence interval [CI] = 28 to 49), abdominal pain 2.8 (95% CI = 2.4 to 3.4), microcytosis 2.6 (95% CI = 1.9 to 3.4), raised inflammatory markers 2.4 (95% CI = 2.1 to 2.8), thrombocytosis 2.2 (95% CI = 1.7 to 2.7), low haemoglobin 1.9 (95% CI = 1.6 to 2.2), urinary tract infection 1.8 (95% CI = 1.5 to 2.1), nausea 1.8 (95% CI = 1.4 to 2.3), raised creatinine 1.7 (95% CI = 1.5 to 2.0), leukocytosis 1.5 (95% CI = 1.2 to 1.9), fatigue 1.5 (95% CI = 1.2 to 1.9), constipation 1.4 (95% CI = 1.1 to 1.7), back pain 1.4 (95% CI = 1.2 to 1.7), abnormal liver function 1.3 (95% CI = 1.2 to 1.5), and raised blood sugar 1.2 (95% CI = 1.1 to 1.4). The positive predictive value for visible haematuria in patients aged ≥60 years was 1.0% (95% CI = 0.8 to 1.3).Conclusion
Visible haematuria is the commonest and most powerful single predictor of kidney cancer, and the risk rises when additional symptoms are present. When considered alongside the risk of bladder cancer, the overall risk of urinary tract cancer from haematuria warrants referral. 相似文献10.
Rachel M Dommett Theresa Redaniel Michael CG Stevens Richard M Martin William Hamilton 《The British journal of general practice》2013,63(606):e22-e29
Background
Guidelines describing symptoms in children that should alert GPs to consider cancer have been developed, but without any supporting primary-care research.Aim
To identify symptoms and signs in primary care that strongly increase the likelihood of childhood cancer, to assist GPs in selection of children for investigation.Design and setting
A population-based case-control study in UK general practice.Method
Using electronic primary care records from the UK General Practice Research Database, 1267 children aged 0–14 years diagnosed with childhood cancer were matched to 15 318 controls. Clinical features associated with subsequent diagnosis of cancer were identified using conditional logistic regression, and likelihood ratios and positive predictive values (PPVs) were estimated for each.Results
Twelve symptoms were associated with PPVs of ≥0.04%, which represents a greater than tenfold increase in prior probability. The six symptoms with the highest PPVs were pallor (odds ratio, OR = 84; PPV = 0.41% (95% confidence interval [CI] = 0.12% to 1.34%), head and neck masses (OR = 17; PPV = 0.30%; 95% CI = 0.10% to 0.84%), masses elsewhere (OR = 22; PPV = 0.11%; 95% CI = 0.06% to 0.20%), lymphadenopathy (OR = 10; PPV = 0.09%; 95% CI = 0.06% to 0.13%), symptoms/signs of abnormal movement (OR = 16; PPV = 0.08%; 95% CI = 0.04% to 0.14%), and bruising (OR = 12; PPV = 0·08%; 95% CI = 0.05% to 0.13%). When each of these 12 symptoms was combined singly with at least three consultations in a 3-month period, the probability of cancer was between 11 and 76 in 10 000.Conclusion
Twelve features of childhood cancers were identified, each of which increased the risk of cancer at least tenfold. These symptoms, particularly when combined with multiple consultations, warrant careful evaluation in general practice. 相似文献11.
Elizabeth A Shephard Sally Stapley Richard D Neal Peter Rose Fiona M Walter William T Hamilton 《The British journal of general practice》2012,62(602):e598-e604
Background
Bladder cancer accounts for over 150 000 deaths worldwide. No screening is available, so diagnosis depends on investigations of symptoms. Of these, only visible haematuria has been studied in primary care.Aim
To identify and quantify the features of bladder cancer in primary care.Design and setting
Case-control study, using electronic medical records from UK primary care.Method
Participants were 4915 patients aged ≥40 years, diagnosed with bladder cancer January 2000 to December 2009, and 21 718 age, sex, and practice-matched controls, were selected from the General Practice Research Database, UK. All clinical features independently associated with bladder cancer using conditional logistic regression were identified, and their positive predictive values for bladder cancer, singly and in combination, were estimated.Results
Cases consulted their GP more frequently than controls before diagnosis: median 15 consultations (interquartile range 9–22) versus 8 (4–15): P<0.001. Seven features were independently associated with bladder cancer: visible haematuria, odds ratio 34 (95% confidence interval [CI] = 29 to 41), dysuria 4.1 (95% CI = 3.4 to 5.0), urinary tract infection 2.2 (95% CI = 2.0 to 2.5), raised white blood cell count 2.1 (95% CI = 1.6 to 2.8), abdominal pain 2.0 (95% CI = 1.6 to 2.4), constipation 1.5 (95% CI = 1.2 to 1.9), raised inflammatory markers 1.5 (95% CI = 1.2 to 1.9), and raised creatinine 1.3 (95% CI = 1.2 to 1.4). The positive predictive value for visible haematuria in patients aged ≥60 years was PPV of 3.9% (95% CI = 2.2 to 3.2).Conclusion
Visible haematuria is the commonest and most powerful predictor of bladder cancer in primary care, and warrants investigation. Most other previously reported features of bladder cancer were associated with the disease, but with low predictive values. There is a need for improved diagnostic methods, for those patients whose bladder cancer presents without visible haematuria. 相似文献12.
Kirsty Boyd Bruce Mason Marilyn Kendall Stephen Barclay David Chinn Keri Thomas Aziz Sheikh Scott A Murray 《The British journal of general practice》2010,60(581):e449-e458
Background
Advance care planning is being promoted as a central component of end-of-life policies in many developed countries, but there is concern that professionals find its implementation challenging.Aim
To assess the feasibility of implementing advance care planning in UK primary care.Design of study
Mixed methods evaluation of a pilot educational intervention.Setting
Four general practices in south-east Scotland.Method
Interviews with 20 GPs and eight community nurses before and after a practice-based workshop; this was followed by telephone interviews with nine other GPs with a special interest in palliative care from across the UK.Results
End-of-life care planning for patients typically starts as an urgent response to clear evidence of a short prognosis, and aims to achieve a ‘good death’. Findings suggest that there were multiple barriers to earlier planning: prognostic uncertainty; limited collaboration with secondary care; a desire to maintain hope; and resistance to any kind of ‘tick-box’ approach. Following the workshop, participants'' knowledge and skills were enhanced but there was little evidence of more proactive planning. GPs from other parts of the UK described confusion over terminology and were concerned about the difficulties of implementing inflexible, policy-driven care.Conclusion
A clear divide was found between UK policy directives and delivery of end-of-life care in the community that educational interventions targeting primary care professionals are unlikely to address. Advance care planning has the potential to promote autonomy and shared decision making about end-of-life care, but this will require a significant shift in attitudes. 相似文献13.
Barbara AM Snoeker Aeilko H Zwinderman Cees Lucas Robert Lindeboom 《The British journal of general practice》2015,65(637):e523-e529
Background
In primary care, meniscal tears are difficult to detect. A quick and easy clinical prediction rule based on patient history and a single meniscal test may help physicians to identify high-risk patients for referral for magnetic resonance imaging (MRI).Aim
The study objective was to develop and internally validate a clinical prediction rule (CPR) for the detection of meniscal tears in primary care.Design and setting
In a cross-sectional multicentre study, 121 participants from primary care were included if they were aged 18–65 years with knee complaints that existed for <6 months, and who were suspected to suffer from a meniscal tear.Method
One diagnostic physical meniscal test and 14 clinical variables were considered to be predictors of MRI outcome. Using known predictors for the presence of meniscal tears, a ‘quick and easy’ CPR was derived.Results
The final CPR included the variables sex, age, weight-bearing during trauma, performing sports, effusion, warmth, discolouration, and Deep Squat test. The final model had an AUC of 0.76 (95% CI = 0.72 to 0.80). A cut-point of 150 points yielded an overall sensitivity of 86.1% and a specificity of 45.5%. For this cut-point, the positive predictive value was 55.0%, and the negative predictive value was 81.1%. A scoring system was provided including the corresponding predicted probabilities for a meniscal tear.Conclusion
The CPR improved the detection of meniscal tears in primary care. Further evaluation of the CPR in new primary care patients is needed, however, to assess its usefulness. 相似文献14.
William Hamilton 《The British journal of general practice》2010,60(571):121-128
Around a quarter of those in the developed world die of cancer. Most cancers present to primary care with symptoms, even when there is a screening test for the particular cancer. However, the symptoms of cancer are also symptoms of benign disease, and the GP has to judge whether cancer is a possible explanation. Very little research examined this process until relatively recently. This review paper examines the process of primary care diagnosis, especially the selection of patients for rapid investigation. It concentrates on the four commonest UK cancers: breast, lung, colon, and prostate as these have been the subject of most recent studies. 相似文献
15.
Sarah J Price Elizabeth A Shephard Sally A Stapley Kevin Barraclough William T Hamilton 《The British journal of general practice》2014,64(626):e584-e589
Background
Diagnosis of bladder cancer relies on investigation of symptoms presented to primary care, notably visible haematuria. The importance of non-visible haematuria has never been estimated.Aim
To estimate the risk of bladder cancer with non-visible haematuria.Design and setting
A case–control study using UK electronic primary care medical records, including uncoded data to supplement coded records.Method
A total of 4915 patients (aged ≥40 years) diagnosed with bladder cancer between January 2000 and December 2009 were selected from the Clinical Practice Research Datalink and matched to 21 718 controls for age, sex, and practice. Variables for visible and non-visible haematuria were derived from coded and uncoded data. Analyses used multivariable conditional logistic regression, followed by estimation of positive predictive values (PPVs) for bladder cancer using Bayes’ theorem.Results
Non-visible haematuria (coded/uncoded data) was independently associated with bladder cancer: odds ratio (OR) 20 (95% confidence interval [CI] =12 to 33). The PPV of non-visible haematuria was 1.6% (95% CI = 1.2 to 2.1) in those aged ≥60 years and 0.8% (95% CI = 0.1 to 5.6) in 40–59-year-olds. The PPV of visible haematuria was 2.8% (95% CI = 2.5 to 3.1) and 1.2% (95% CI = 0.6 to 2.3) for the same age groups respectively, lower than those calculated using coded data alone. The proportion of records of visible haematuria in coded, rather than uncoded, format was higher in cases than in controls (P<0.002, χ2 test). There was no evidence for such differential recording of non-visible haematuria by case/control status (P = 0.78), although, overall, the uncoded format was preferred (P<0.001).Conclusion
Both non-visible and visible haematuria are associated with bladder cancer, although the visible form confers nearly twice the risk of cancer compared with the non-visible form. GPs’ style of record keeping varies by symptom and possible diagnosis. 相似文献16.
Margaret Astin Tom Griffin Richard D Neal Peter Rose William Hamilton 《The British journal of general practice》2011,61(586):e231-e243
Background
Over 37 000 new colorectal cancers are diagnosed in the UK each year. Most present symptomatically to primary care.Aim
To conduct a systematic review of the diagnostic value of symptoms associated with colorectal cancer.Design
Systematic review.Method
MEDLINE, Embase, Cochrane Library, and CINAHL were searched to February 2010, for diagnostic studies of symptomatic adult patients in primary care. Studies of asymptomatic patients, screening, referred populations, or patients with colorectal cancer recurrences, or with fewer than 100 participants were excluded. The target condition was colorectal cancer. Data were extracted to estimate the diagnostic performance of each symptom or pair of symptoms. Data were pooled in a meta-analysis. The quality of studies was assessed with the QUADAS tool.Results
Twenty-three studies were included. Positive predictive values (PPVs) for rectal bleeding from 13 papers ranged from 2.2% to 16%, with a pooled estimate of 8.1% (95% confidence interval [CI] = 6.0% to 11%) in those aged ≥50 years. Pooled PPV estimates for other symptoms were: abdominal pain (three studies) 3.3% (95% CI = 0.7% to 16%); and anaemia (four studies) 9.7% (95% CI = 3.5% to 27%). For rectal bleeding accompanied by weight loss or change in bowel habit, pooled positive likelihood ratios (PLRs) were 1.9 (95% CI = 1.3 to 2.8) and 1.8 (95% CI = 1.3 to 2.5) respectively, suggesting higher risk when both symptoms were present. Conversely, the PLR was one or less for abdominal pain, diarrhoea, or constipation accompanying rectal bleeding.Conclusion
The findings suggest that investigation of rectal bleeding or anaemia in primary care patients is warranted, irrespective of whether other symptoms are present. The risks from other single symptoms are lower, though multiple symptoms also warrant investigation. 相似文献17.
Wenche Haugen Ole Rikard Haavet Manjit Kaur Sirpal Kaj Sparle Christensen 《The British journal of general practice》2016,66(643):e65-e70
Background
Depression in adolescents is a serious psychiatric illness. GPs play an important role in identifying adolescents with depression and those at risk of developing depression. Few validated tools are suitable for identifying adolescent depression in general practice.Aim
To determine if three verbally asked key questions are valid for identifying depression in adolescents.Design and setting
A cross-sectional, general practice multicentre, validation study was conducted in Oslo, Norway, and Aarhus, Denmark.Method
A total of 294 adolescents answered three verbally asked key questions followed by a Composite International Diagnostic Interview (CIDI) for psychiatric diagnosis. Inclusion criteria were age (14–16 years) and fluency in the Norwegian or Danish language. The primary outcome was ROC curve statistics in terms of sensitivity and specificity, predictive values, and likelihood ratios of the three key questions. Secondary outcomes were Loevinger’s H, Cronbach’s α, and prevalence of depression.Results
The three key questions met the criteria for construct and criterion validity for detecting depression among the adolescents. ROC curve statistics for the three key questions demonstrated an AUC of 0.79 for the answer ‘yes’ to either screening question and of 0.73 for the answer ‘yes’ to the help question. The positive predictive value was 31% and the negative predictive value was 97%.Conclusion
The three key questions are useful for identifying depression in adolescents in primary health care. 相似文献18.
Simon Gilbody David Richards Michael Barkham 《The British journal of general practice》2007,57(541):650-652
There is increased emphasis on routine assessment of depression in primary care. This report is the first UK validation of two self-completed measures: the Patient Health Questionnaire (PHQ-9) and the Clinical Outcomes in Routine Evaluation-Outcome Measure (CORE-OM). Optimum cut-off points were established against a diagnostic gold standard in 93 patients. PHQ-9 sensitivity = 91.7% (95% confidence interval [CI] = 77.5 to 98.3%) and specificity 78.3% (95% CI = 65.8 to 87.9%). CORE-OM sensitivity = 91.7% (95% CI = 77.5 to 98.2%) and specificity = 76.7% (95% CI = 64.0 to 86.6%). Brief self-rated questionnaires are as good as clinician-administered instruments in detecting depression in UK primary care. 相似文献
19.
William Hamilton Trish Green Tanimola Martins Kathy Elliott Greg Rubin Una Macleod 《The British journal of general practice》2013,63(606):e30-e36
Background
Diagnostic delay is deemed to account for an estimated 5000 to 10 000 extra cancer deaths each year in the UK. Many cancer patients do not have symptoms meeting national referral criteria for rapid investigation. Risk assessment tools (RATs) have been developed to assist GPs in selecting patient for cancer investigation.Aim
To assess the usability and acceptability of lung and colorectal RATs, as well as subsequent resource use and cancer diagnoses.Design and setting
Cohort study with nested qualitative study with 614 GPs from 165 practices in seven English cancer networks were provided with RATs applicable to patients aged ≥40 years with bowel or respiratory symptoms. In-depth interviews were conducted with 34 individuals (11 project managers and 23 GPs).Method
The study measured the number of RATs used, and subsequent cancer investigations and diagnoses, over a 6-month period and compared these with the previous 6 months.Results
A total of 2593 RATs (1160 lung, 1433 colorectal) were completed. Compared with the preceding 6 months, there were 292 more chest X-rays, 104 extra 2-week chest clinic appointments, and 47 additional diagnoses of lung cancer. For suspected colorectal cancer, there were 304 more 2-week referrals, 270 more colonoscopies, and 10 more cancers identified. RATs appeared to help GPs in their selection of patients for cancer investigation. Users reported that RATs helped to confirm a need for investigation as well as allowing reassurance when investigation was not needed.Conclusion
Use of RATs in primary care was accompanied by increased diagnostic activity and additional cancer diagnoses. 相似文献20.
David Meechan Carolynn Gildea Louise Hollingworth Mike A Richards Di Riley Greg Rubin 《The British journal of general practice》2012,62(602):e590-e597