The National Swedish Lymphoma Register - a systematic validation of data quality.

BACKGROUND AND PURPOSE: The Swedish Lymphoma Register (SLR) was initiated in the year 2000 with the aim to monitor quality of care in diagnostics, treatment and outcome of all lymphomas diagnosed nationally among adults. Here, we present the first systematic validation of SLR records as a basis for improved register quality and patient care. PATIENTS AND METHODS: We evaluated timeliness and completeness of register records among patients diagnosed with lymphoma in the SLR (n = 16,905) compared with the National Cancer Register for the period 2013-2020. Comparability was assessed through evaluation of coding routines against national and international guidelines. Accuracy of 42 variables was evaluated through re-abstraction of data from medical records among 600 randomly selected patients diagnosed in 2016-2017 and treated across all six Swedish healthcare regions.  Results: Completeness was high, >95% per year for the period 2013-2018, and >89% for 2019-2020 compared to the National Cancer Register. One in four patients was registered within 3 months, and 89.9% within 2 years of diagnosis. Registration instructions and coding procedures followed the prespecified guidelines. Missingness was generally low (<5%), but high for occasional variables, for example, those describing maintenance and consolidative treatment. Exact agreement of categorical variables was high overall (>80% for 24/34 variables), especially for treatment-related data (>80% for 17/19 variables). INTERPRETATION: Completeness and accuracy are high in the SLR, while timeliness could be improved. Finetuning of variable registration guided by this validation can further improve reliability of register reports and advance service to lymphoma patients and health care in the future.

Failure matters: unsuccessful cytogenetics and unperformed cytogenetics are associated with a poor prognosis in a population-based series of acute myeloid leukaemia.

Unsuccessful cytogenetics (UC) in patients with acute myeloid leukaemia (AML) treated on different SWOG trials was recently reported to be associated with increased age and dismal outcome. To ascertain whether this holds true also in unselected patients with AML, we retrieved all cytogenetic reports in cases from the population-based Swedish AML Registry. Between 1997 and 2006, 1737 patients below 80 yr of age without myelosarcoma or acute promyelocytic leukaemia received intensive treatment. The frequencies of UC and unperformed cytogenetics (UPC) were 2.1% and 20%, respectively. The early death rates differed between the cytogenetic subgroups (P = 0.006) with the highest rates in patients with UC (14%) and UPC (12%) followed by high-risk (HR) AML, intermediate risk (IR) and standard risk (SR) cases successfully karyotyped (8.6%, 5.9%, and 5.8%, respectively). The complete remission rate was lower in UC and UPC and HR compared with the other risk groups (P < 0.001). The overall five-year survival rates were 25% for UC and 22% for UPC, whereas the corresponding frequencies for SR, IR and HR AML patients without UC and UPC were 64%, 31% and 15%, respectively. In conclusion, lack of cytogenetic data translates into a poor prognosis.

Acute myeloid leukemia in the real world: why population-based registries are needed.

Population-based registries may provide data complementary to that from basic science and clinical intervention studies, all of which are essential for establishing recommendations for the management of patients in the real world. The same quality criteria apply for the evidence-based label, and both high representation and good data quality are crucial in registry studies. Registries with high coverage of the target population reduce the impact of selection on outcome and the subsequent problem with extrapolating data to nonstudied populations. Thus, data useful for clinical decision in situations not well covered by clinical studies can be provided. The potential clinical impact of data from population-based studies is exemplified with analyses from the Swedish Acute Leukemia Registry containing more than 3300 acute myeloid leukemia (AML) patients diagnosed between 1997 and 2006 with a median follow-up of 6.2 years on (1) the role of intensive combination chemotherapy for older patients with AML, (2) the impact of allogeneic stem cell transplantation on survival of younger patients with AML, and (3) the continuing problem with early deaths in acute promyelocytic leukemia. We also present the first Web-based dynamic graph showing the complex interaction between age, performance status, the proportion of patients given intensive treatment, early death rate, complete remission rate, use of allogeneic transplants, and overall survival in AML (non-AML).

Performance of standardized cancer patient pathways in Sweden visualized using observational data and a state-transition model.

Standardized Cancer Patient Pathways (CPPs) were introduced in Swedish healthcare starting in 2015 to improve diagnostics for patients with symptoms of cancer, patient satisfaction and equity of care between healthcare providers. An inclusion target and a time target were set. Our primary aim was to visualize the patient population going through CPPs, in terms of investigation time and indications of the various outcomes including cancer diagnoses. Our secondary aims were to examine if targets were met, and to examine frequencies of undetected cancer. We collected data from 19,204 patients starting in a CPP, and 7895 patients diagnosed with cancer in 2018 in a region of Sweden. A state transition model was developed and used as analytical framework, and patients were mapped over time in the states of the model. Visualization of the patient-flow through the model illustrates speed of investigation, time to treatment, frequencies of detected and undetected cancer. Twelve CPPs out of 28 met the inclusion target, five met the time target. After suspicion of cancer rejected, 0.8% of patients were diagnosed with the primarily suspected cancer, 1.0% with another cancer. In patients not meeting the criteria for well-founded suspicion less than 3% were later diagnosed with cancer. The visualization of the patient flow into and through standardized cancer patient pathways illustrates investigation time, events occurring and outcomes. The use of standardized cancer patient pathways detects cancer efficiently.