| Literature DB >> 31585970 |
Yin Zhou1, Marije van Melle2, Hardeep Singh3,4, Willie Hamilton5, Georgios Lyratzopoulos6, Fiona M Walter2.
Abstract
OBJECTIVES: In urological cancers, sex disparity exists for survival, with women doing worse than men. Suboptimal evaluation of presenting symptoms may contribute.Entities:
Keywords: health and safety; primary care; quality in health care; urological tumours
Mesh:
Year: 2019 PMID: 31585970 PMCID: PMC6797416 DOI: 10.1136/bmjopen-2019-029143
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Study characteristics of included publications and quality assessment
| Papers | Year/s of data collection | Design | Setting (primary care, specialist or both) | Sample size | Population | CASP quality assessment items | ||||||||
| A | B | C | D | E | F | G | H | I | ||||||
| Ark | 2001–2009 | Retrospective cohort study | Primary care | 1412 | Patients aged 40+ years with bladder cancer and haematuria |
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| Aziz | 2010–2013 | Retrospective questionnaire | Specialist | 68 | Patients undergoing TUR-BT for newly diagnosed urothelial carcinoma of bladder |
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| Bassett | 2009–2010 | Retrospective cohort study | Primary care | 9211 | Patients with non-visible haematuria seen by a PCP in an outpatient setting, age 65+ years |
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| Blick | 1997–2006 | Retrospective record review | Specialist | 200 | Consecutive patients with newly diagnosed bladder cancer identified from the records of MDT meetings and theatre records |
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| Bradley | 2012–2014 | Retrospective record review/ cross-sectional cohort | Specialist | 237 | Women >55 years with asymptomatic microhaematuria |
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| Buteau | 2009–2010 | Retrospective record review | Primary care | 449 | Patients with over 5 RBC/HPF, with both gross and microscopic haematuria |
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| Chappidi | 2010–2014 | Retrospective claims review | Both | 1326 | Patients with UTUC with a haematuria claim 1 year before diagnosis, under 65 years, 4.4% (n=58) with concomitant bladder cancer diagnosis at time of UTUC diagnosis |
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| Cohn | 2004–2010 | Retrospective claims review | Both | 7649 | Patients who had an initial haematuria claim within 12 months of an initial bladder cancer claim, age <66 years (upper limit of MarketScan Database population) |
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| Elias | 2006–2007 | Retrospective record review | Primary care | 164 | Participants with microscopic haematuria on urine dipstick testing or 3+ RBC/HPF on urinalysis. Recruited from well patient clinics aged 50+ years with a 10-year or greater smoking history (any number of cigarettes) and/or a significant (15 or more years) high-risk occupation (such as working in the dye, petroleum or chemical industry) |
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| Friedlander | 2004–2012 | Retrospective cohort review | Primary care | 2455 | Patients aged 40+ years with first episode of haematuria between 2004 and 2012 either by urinalysis (>3 RBC/HPF) or ICD diagnosis codes for haematuria |
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| Garg | 2000–2007 | Retrospective cohort study | Both | 35 646 | Patients aged 66+ years with primary bladder cancer with a haematuria claim in 12 months before diagnosis |
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| Han | 2014 | Cross-sectional, ecological study | Specialist | 306 Hospital Referral Regions | Medicare beneficiaries aged 65–99 years with bladder cancer and underwent at least one cystoscopy procedure; consisting of 173 551 female and 286 090 men in total |
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| Henning | Not mentioned | Prospective questionnaire study | Specialist | 200 | Consecutive series of 200 patients admitted for elective TUR-BT |
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| Hollenbeck | 1992–2002 | Retrospective cohort study | Both | 29 740 | Patients with haematuria 1 year prior to bladder cancer diagnosis; 66+ years |
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| Johnson | 1998–2002 | Retrospective cohort study | Both | 926 | Patients with newly diagnosed haematuria, 18+ years |
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| Liedberg | 2014–2015 | Interventional study | Both | 376 | 275 patients in intervention group, 101 in control group; aged 50+ years with macroscopic haematuria |
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| Lyratzopoulos | 2009–2010 | Secondary analysis of audit data | Primary care | 1318 | Bladder and kidney cancer patients |
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| Matulewicz | 2007–2015 | Retrospective cohort study | Multi-institutional hospital system | 15 161 | Microscopic haematuria in patients aged 35 years and over |
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| McCombie | 2008–2014 | Retrospective cohort study, telephone survey | Specialist | 100 | Bladder cancer patients |
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| Murphy | 2012–2014 | Retrospective cohort study | Primary care | 495 | Patients with haematuria (urine red blood cells of >50 cells per high power field) |
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| Ngo | 2015 (12-month period) | Retrospective record review | Specialist | 305 | Cystoscopy cases primarily for haematuria investigation, 18+ years |
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| Nieder | Not mentioned | Questionnaire study | Primary care | 788 | 788 PCPs (internal medicine, family practice, primary care or obstetrics and gynaecology) randomly selected from the Little Blue Book of Miami-Dade County and Dallas, published by National Physicians Data Source |
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| Richards | 2007–2009 | Retrospective cohort study | Both | 12 195 | Patients from SEER-Medicare with a haematuria or UTI claim; 66+ years |
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| Nilbert | 2015–2016 | Case–control study | Secondary care | 1697 controls/ 174 cases | Patients with macroscopic haematuria (control) and bladder and upper urothelial tract cancer (cases), aged 40 years and over |
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| Richards | 2011–2013 | Retrospective record review | Both | 201 | Consecutive patients with new-onset haematuria, 195 male |
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| Santos | 2000–2009 | Retrospective cohort review | Specialist | 1271 | Patients who underwent radical cystectomy for bladder cancer, had a first urologist visit after having visited a GP or ED physician, aged >40+ years |
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| Sell | Unknown | Substudy of RCTix, using questionnaires | Specialist | 131 | Patients with histologically proven low-grade bladder cancer with self-reported macroscopic haematuria |
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| Shinagare | 2004–2012 | Retrospective record review | Specialist | 100 | Consecutive patients with asymptomatic haematuria |
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CASP Quality Assessment Items (Key: green=yes, yellow=can’t tell, red=no).
A: Does the study address a clearly focused issue?
B: Was the cohort recruited in an acceptable way?
C: Was the exposure accurately measured to minimise bias?
D: Was the outcome accurately measured to minimise bias?
E: Have the authors identified all important confounding factors?
F: Have they taken account of the confounding factors in the design and/or analysis?
G: Do you believe the results?
H: Can the results be applied to the local population?
I: Do the results of this study fit with the other available evidence?
CASP, critical appraisal skills programme; ED, emergency department; GP, general practitioner; MDT, multidisciplinary team; PCP, primary care practitioner; RBC/HPF, red blood cell per high power field; RCT, randomised controlled trial; TUR-BT, transurethral resection of bladder tumour; UTI, urinary tract infection; UTUC, upper tract urothelial carcinoma.
Figure 1PRISMA flow diagram.
Mean and median diagnostic intervals from first presentation to diagnosis as described in included studies
| Study | Population of interest† | First presentation with symptom | Referral to specialist | First specialist appointment | First investigation | Diagnosis | Mean interval duration (days) | Median interval duration (days) | ||||
| Time interval‡ | Event points (shading denotes interval) | All | Men | Women | All | Men | Women | |||||
| Aziz | VH§ | T1 | 335 | 343.70 | 313.29 | |||||||
| Chappidi | UTUC§ with haematuria | T1 | 93.5* | 84.4* | 60* | 49* | ||||||
| Cohn | Bladder cancer with haematuria | T1 | 85.4* | 73.6* | 41* | 35* | ||||||
| Liedberg | VH§ | T1 | 29 versus 50* | (intervention vs control) | ||||||||
| Nilbert | Bladder/ UTUC with VH | T1 | 25 versus 35* | (intervention vs control) | ||||||||
| Richards | Bladder | T1 | 58.9* | 72.2* | ||||||||
| Garg | Bladder cancer with haematuria | T2 | 8 | 8 | 9 | |||||||
| Matulewicz | VH | T2 | Time to imaging | 75 | ||||||||
| Matulewicz | VH | T2 | Time to cystoscopy | 68.5 | ||||||||
| Garg | Bladder cancer with haematuria | T3 | 27 | 24* | 35* | 3 | 2* | 6* | ||||
| Richards | NVH§ | T3 | 28 | |||||||||
| Santos | Bladder | T3 | 30 | 23* | 56* | |||||||
| Chappidi | UTUC§ with haematuria | T3 | 17.9 | 20.4 | 4 | 5 | ||||||
| Johnson | Haematuria | T4 | 33.5 | 27.4* | 36.5* | |||||||
| Liedberg | VH§ | T4 | 14 versus 33 | (intervention vs control) | ||||||||
| Lyratzopoulos | Bladder | T4 | 4* | 6* | ||||||||
| Lyratzopoulos | Kidney | T4 | 10* | 16* | ||||||||
| McCombie | Bladder | T4 | 3 | |||||||||
| Nilbert | Bladder/ UTUC with VH | T4 | 0 vs 7 | (intervention vs control) | ||||||||
| Sell | Bladder with VH | T4 | 8 | |||||||||
| Sell et al | Bladder with VH | T6 + T7 | Urology referral to cystoscopy | 23 | ||||||||
| Blick | Bladder | T6 | 21.3 | |||||||||
| McCombie | T6 | 23.5 | ||||||||||
| McCombie | T6a | 3 | ||||||||||
| McCombie | T6b | 19.5 | ||||||||||
| Ngo | Haematuria | T6 | 38 | |||||||||
| Ngo | Haematuria | T7 | 28 | |||||||||
*P value ≤0.05 for difference between men and women.
†Population of interest indicates the characteristics of the cohort examined in each study (either symptom or type of cancer patients).
‡Key for time intervals: T1, time from first presentation with symptom to diagnosis; T2, time from first presentation with symptom to first investigation; T3, time from first presentation to first specialist appointment; T4, time from first presentation to referral to specialist; T5, time from referral to specialist to diagnosis; T6, time from referral to specialist to first specialist appointment; T6a, time from referral being sent to referral being received; T6b, time from receipt of referral to first specialist appointment; T7, time from first specialist appointment to first investigation.
NVH, non-visible haematuria; UTUC, upper tract urothelial carcinoma; VH, visible haematuria.
Summary of association between patient factors and diagnostic safety and timeliness
| Patient factor | No of studies exploring risk factor | Association between patient factor and diagnostic safety and timeliness | ||
| Delayed / incomplete evaluation | Delayed referral | Longer diagnostic interval | ||
| Sex | 15 | Women>men | Women>men | Women>men |
| Increasing age | 12 | NS | NS | NS |
| Ethnicity | 7 | NS | NS | NS |
| SES | 5 | NS | ||
| Comorbidity | 4 | Positive association | Positive association | |
| Smoking | 6 | NS | NS | |
| Anticoagulant use | 5 | NS | NS | NS |
NS, statistically non-significant; SES, socioeconomic status.
Associations between physician specialty and quality of diagnostic process for patients presenting with different clinical features precancer diagnosis
| Clinical feature | Delay in evaluation | Delay in referral | Delay in diagnosis |
| Urinary tract infection (UTI) | No difference between PCP* and other specialists or ED physicians (Buteau) | No difference between PCP* and other specialists or ED physicians (Buteau) | Both urologist and non-urologist (urologist: RR1.74, CI 1.31 to 2.31, p<0.001; non-urologist RR 1.44, CI 1.22 to 1.71, p<0.001 (Chappidi) |
| Microscopic haematuria | No difference between PCP* and other specialists or ED physicians (Buteau); OBGYN less likely to perform imaging than medical counterparts (p<0.004) (Neider); guideline concordant with urologist vs non-urologist (OR 54.7, CI 10 to 102, p<0.0001) (Shinagare) | No difference between PCP* and other specialists or ED physicians (Buteau, Neider) | |
| Macroscopic haematuria | OBGYN less likely to perform imaging than medical counterparts (p<0.01) (Neider) | PCP* less than other specialists or ED physicians (Buteau); no difference between specialties (Neider) | |
| Haematuria (not specified) | Initial visit with urologist associated with reduced odds of delayed evaluation (OR 0.34, CI 0.31 to 0.68, p<0.001) compared with primary care and OBGYN (Garg) | Internal medicine providers and other specialists more likely than family physicians to refer (HR 1.30, 1.03 to 1.64; HR 1.72, 1.01 to 2.90). No difference in hospital specialists from family medicine (Johnson). | |
| Nephrolithiasis | Delay in non-urologist versus urologist (RR 1.25, CI 1.05 to 1.49, p=0.01) (Chappidi) | ||
| Benign prostate conditions | Delay in non-urologist versus urologist (new prostate conditions—RR 1.41, CI 1.12 to 1.78, p=0.003); recurrent prostate conditions RR 1.94, CI 1.45 to 2.58, p<0.001) (Chappidi) |
*PCP includes family medicine and internal medicine.
ED, emergency department; OBGYN, obstetricians and gynaecologists; PCP, primary care physician.