Delay in Diagnosis of Breast Cancer

Tartter, Paul Ian; Pace, David; Frost, Mark; Bernstein, Jonine L.

doi:10.1097/00000658-199901000-00012

Cited by 52 publications

(41 citation statements)

References 9 publications

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“…For NHL, age was an important factor. For breast cancer, marital status and ethnic group were important factors, again strengthening the current evidence base (Tartter et al, 1999;Nosarti et al, 2000;Thongsuksai et al, 2000;Arndt et al, 2002;Meechan et al, 2002;Gwyn et al, 2004;Robertson et al, 2004). The trends in the associations using both statistical approaches were all in the same direction for each of the six cancers.…”

Section: Discussionmentioning

confidence: 54%

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Sociodemographic factors and delays in the diagnosis of six cancers: analysis of data from the ‘National Survey of NHS Patients: Cancer’

2005

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This paper aims to explore the relationship between sociodemographic factors and the components of diagnostic delay (total, patient and primary care, referral, secondary care) for these six cancers (breast, colorectal, lung, ovarian, prostate, or non-Hodgkin's lymphoma). Secondary analysis of patient-reported data from the 'National Survey of NHS patients: Cancer' was undertaken (65 192 patients). Data were analysed using univariate analysis and Generalised Linear Modelling. With regard to total delay, the findings from the GLM showed that for colorectal cancer, the significant factors were marital status and age, for lung and ovarian cancer none of the factors were significant, for prostate cancer the only significant factor was social class, for non-Hodgkin's lymphoma the only significant factor was age, and for breast cancer the significant factors were marital status and ethnic group. Where associations between any of the component delays were found, the direction of the association was always in the same direction (female subjects had longer delays than male subjects, younger people had longer delays than older people, single and separated/divorced people had longer delays than married people, lower social class groups had longer delays than higher social class groups, and Black and south Asian people had longer delays than white people). These findings should influence the design of interventions aimed at reducing diagnostic delays with the aim of improving morbidity, mortality, and psychological outcomes through earlier stage diagnosis.

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Section: Discussionmentioning

confidence: 54%

“…No associations have been reported with patient delays (Nosarti et al, 2000;Meechan et al, 2002) or physician delays (Tartter et al, 1999). Longer delays have been associated with older age (Arndt et al, 2002), but faster times to treatment have also been associated with increasing age (Robertson et al, 2004).…”

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confidence: 99%

Sociodemographic factors and delays in the diagnosis of six cancers: analysis of data from the ‘National Survey of NHS Patients: Cancer’

2005

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“…[1] However, the evidence supporting a link between delay in diagnosis and poorer cancer outcome is weak. [14][15][16][17][18][19][20][21][22][23][24][25] The greatest number of studies examining diagnostic delays have been in patients with breast…”

Section: Delays In Diagnosismentioning

confidence: 99%

The “two-week wait” referral pathway allows prompt treatment but does not improve outcome for patients with oesophago-gastric cancer

Sharpe¹,

Williams²,

Ubhi³

et al. 2010

European Journal of Surgical Oncology (EJSO)

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“…Do diagnostic delays affect clinical outcomes? The evidence seems to suggest that patient delay (defined in most studies as the duration between onset of symptoms and the first medical consultation) is associated with worse prognosis, whereas provider delay (defined as duration between first consultation and biopsy or start of treatment) is either neutral [25][26][27] or favorable 28 . Afzelius and colleagues found that patient delays of >60 days resulted in poorer outcomes compared to short delays (0-14 days) 28 , and in a population-based study of 287 German women, Arndt and colleagues found that patient delay (categorized as <1 month, 1-3 months, and >3 months) was positively correlated with stage at diagnosis for poorly differentiated tumors (p=0.03) 29 .…”

Section: Discussionmentioning

confidence: 99%