Effect of Symptom-To-Treatment Interval on Prognosis in Lung Cancer

Educational attainment affects the diagnostic time in type 2 diabetes mellitus and the mortality risk of those enrolled in the diabetes pay-for-performance program

Most patients are diagnosed as having diabetes only after experiencing diabetes complications. Educational attainment might have a positive relationship with diabetes prognosis. The diabetes pay-for-performance (P4P) program-providing comprehensive, continuous medical care-has improved diabetes prognosis in Taiwan. This retrospective cohort study investigated how educational attainment affects the presence of diabetes complications at diabetes diagnosis and mortality risk in patients with diabetes enrolled in the P4P program. From the National Health Insurance Research Database, we identified patients aged >45 years who had received a new diagnosis of type 2 diabetes during 2002-2015; they were followed up until the end of 2017. We next used logistic regression analysis to explore whether the patients with different educational attainments had varied diabetic complication risks at diabetes diagnosis. The Cox proportional hazard model was employed to examine the association of different educational attainments in people with diabetes with mortality risk after their enrollment in the P4P program. The results indicated that as educational attainment increased, the risk of diabetes complications at type 2 diabetes diagnosis decreased gradually. When type 2 diabetes with different educational attainments joined the P4P program, high school education had the highest effect on reducing mortality risk; however, those with ≤ 6th grade education had the lowest impact.

European Respiratory Society guideline on various aspects of quality in lung cancer care

This European Respiratory Society guideline is dedicated to the provision of good quality recommendations in lung cancer care. All the clinical recommendations contained were based on a comprehensive systematic review and evidence syntheses based on eight PICO (Patients, Intervention, Comparison, Outcomes) questions. The evidence was appraised in compliance with the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. Evidence profiles and the GRADE Evidence to Decision frameworks were used to summarise results and to make the decision-making process transparent. A multidisciplinary Task Force panel of lung cancer experts formulated and consented the clinical recommendations following thorough discussions of the systematic review results. In particular, we have made recommendations relating to the following quality improvement measures deemed applicable to routine lung cancer care: 1) avoidance of delay in the diagnostic and therapeutic period, 2) integration of multidisciplinary teams and multidisciplinary consultations, 3) implementation of and adherence to lung cancer guidelines, 4) benefit of higher institutional/individual volume and advanced specialisation in lung cancer surgery and other procedures, 5) need for pathological confirmation of lesions in patients with pulmonary lesions and suspected lung cancer, and histological subtyping and molecular characterisation for actionable targets or response to treatment of confirmed lung cancers, 6) added value of early integration of palliative care teams or specialists, 7) advantage of integrating specific quality improvement measures, and 8) benefit of using patient decision tools. These recommendations should be reconsidered and updated, as appropriate, as new evidence becomes available.

Improved survival of non-small cell lung cancer patients after introducing patient navigation: A retrospective cohort study with propensity score weighted historic control

OnkoNetwork is a patient navigation program established in the Moritz Kaposi General Hospital to improve the timeliness and completeness of cancer investigations and treatment. The H2020 SELFIE consortium selected OnkoNetwork as a promising integrated care initiative in Hungary and conducted a multicriteria decision analysis based on health, patient experience, and cost outcomes. In this paper, a more detailed analysis of clinical impacts is provided in the largest subgroup, non-small cell lung cancer (NSCLC) patients. A retrospective cohort study was conducted, enrolling new cancer suspect patients with subsequently confirmed NSCLC in two annual periods, before and after OnkoNetwork implementation (control and intervention cohorts, respectively). To control for selection bias and confounding, baseline balance was improved via propensity score weighting. Overall survival was analyzed in univariate and multivariate weighted Cox regression models and the effect was further characterized in a counterfactual analysis. Our analysis included 123 intervention and 173 control NSCLC patients from early to advanced stage, with significant between-cohort baseline differences. The propensity score-based weighting resulted in good baseline balance. A large survival benefit was observed in the intervention cohort, and intervention was an independent predictor of longer survival in a multivariate analysis when all baseline characteristics were included (HR = 0.63, p = 0.039). When post-baseline variables were included in the model, belonging to the intervention cohort was not an independent predictor of survival, but the survival benefit was explained by slightly better stage distribution and ECOG status at treatment initiation, together with trends for broader use of PET-CT and higher resectability rate. In conclusion, patient navigation is a valuable tool to improve cancer outcomes by facilitating more timely and complete cancer diagnostics. Contradictory evidence in the literature may be explained by common sources of bias, including the wait-time paradox and adjustment to intermediate outcomes.

Challenges in the Management of Lung Cancer: Real-World Experience from a Tertiary Center in South India

Lung cancer is one of the most common cancers and an important cause of cancer-related mortality. Recent advances in targeted therapy and immunotherapy have improved outcomes, but these have limited penetration in resource-constrained situations. We report the real-world experience in treating patients with lung cancer in India. A retrospective analysis of baseline characters, treatment and outcomes of patients with lung cancer seen between January 2015 to December 2018 ( n = 302) at our center was carried out. Survival data were censored on July 31, 2019. A total of 302 patients (median age: 57 years [range, 23–84 years]; males [ n = 203; 67.2%]) were registered. Adenocarcinoma was the most common histology ( n = 225, 75%). The testing rate of epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) mutation analysis in stage IV adenocarcinoma ( n = 191) was 67% and 63%, respectively. Systemic therapy (chemotherapy/gefitinib) was started after a median of 62 days (range, 1–748) from presentation and 38 days (range, 1–219 days) from diagnosis. The median progression-free survival (PFS) and overall survival (OS) were 4.3 months (95% CI, 3.2–5.4) and 9.0 months (95% CI, 7.6–10.5), respectively in the 141 patient without targetable mutations who started palliative chemotherapy. Of the 58 patients who tested positive for EGFR mutation, 41 (71%) started an EGFR tyrosine kinase inhibitor (TKI), and the median PFS and OS in these patients were 8.5 months (95% CI, 5.6–11.4) and 18.4 months (95% CI, 12.2–24.6), respectively. Only 1 out of 10 patients with stage IV ALK -positive adenocarcinoma was started on ALK inhibitor. On multivariate analysis of OS for patients who started on palliative chemotherapy, response to first-line treatment, long distance from the center, use of second line therapy, and a delay of > 40 days from diagnosis to treatment predicted improved survival. Despite providing free diagnostic and treatment services, there was considerable delay in therapy initiation, and a significant proportion of treatment noninitiation and abandonment. Measures should be taken to understand and address the causes of these issues to realize the benefits of newer therapies The apparent paradox of improved survival in those with long delay in initiation of treatment could be explained based on a less aggressive disease biology.

Impact of Delays in Lung Cancer Treatment on Survival

Timely care is an important dimension of health care quality, but the impact of delays in care on lung cancer outcomes is unclear. Quantifying the impact of delays in cancer treatment on survival is necessary to inform resource allocation, quality improvement initiatives, and lung cancer guidelines. Review of the available literature demonstrated significant heterogeneity between studies in terms of the impact of delay. Frequently paradoxical results were reported, with delay being associated with improved survival in patients with advanced disease. However, significant methodologic flaws were identified in many studies, which probably is the reason for the paradoxical results. The most significant methodologic limitations identified were incorrectly controlling for final pathologic stage (a mediator in the causal chain from delay to survival), failure to control for confounding by acuity of cancer presentation, and failure to consider effect measure modification. The effect of delay on survival probably varies by stage. The impact of delays is lowest for subcentimeter nodules, probably highest in stage II disease, and low in patients who are only eligible for palliative care. Precise quantification of the impact of delay is not currently possible. Given the available evidence, quality metrics for the timeliness of lung cancer care should focus on local barriers to care. These metrics should be carefully designed to take into account clinical-radiographic stage at initial presentation.

Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases

IMPORTANCE

The coronavirus disease 2019 (COVID-19) pandemic has led to treatment delays for many patients with cancer. While published guidelines provide suggestions on which cases are appropriate for treatment delay, there are no good quantitative estimates on the association of delays with tumor control or risk of new metastases.

OBJECTIVES

To develop a simplified mathematical model of tumor growth, control, and new metastases for cancers with varying doubling times and metastatic potential and to estimate tumor control probability (TCP) and metastases risk as a function of treatment delay interval.

DESIGN, SETTING, AND PARTICIPANTS

This decision analytical model describes a quantitative model for 3 tumors (ie, head and neck, colorectal, and non-small cell lung cancers). Using accepted ranges of tumor doubling times and metastatic development from the clinical literature from 2001 to 2020, estimates of tumor growth, TCP, and new metastases were analyzed for various treatment delay intervals.

MAIN OUTCOMES AND MEASURES

Risk estimates for potential decreases in local TCP and increases in new metastases with each interval of treatment delay.

RESULTS

For fast-growing head and neck tumors with a 2-month treatment delay, there was an estimated 4.8% (95% CI, 3.4%-6.4%) increase in local tumor control risk and a 0.49% (0.47%-0.51%) increase in new distal metastases risk. A 6-month delay was associated with an estimated 21.3% (13.4-30.4) increase in local tumor control risk and a 6.0% (5.2-6.8) increase in distal metastases risk. For intermediate-growing colorectal tumors, there was a 2.1% (0.7%-3.5%) increase in local tumor control risk and a 2.7% (2.6%-2.8%) increase in distal metastases risk at 2 months and a 7.6% (2.2%-14.2%) increase in local tumor control risk and a 24.7% (21.9%-27.8%) increase in distal metastases risk at 6 months. For slower-growing lung tumors, there was a 1.2% (0.0%-2.8%) increase in local tumor control risk and a 0.19% (0.18%-0.20%) increase in distal metastases risk at 2 months, and a 4.3% (0.0%-10.6%) increase in local tumor control risk and a 1.9% (1.6%-2.2%) increase in distal metastases risk at 6 months.

CONCLUSIONS AND RELEVANCE

This study proposed a model to quantify the association of treatment delays with local tumor control and risk of new metastases. The detrimental associations were greatest for tumors with faster rates of proliferation and metastasis. The associations were smaller, but still substantial, for slower-growing tumors.

Cancer diagnostic tools to aid decision-making in primary care: mixed-methods systematic reviews and cost-effectiveness analysis

BACKGROUND

Tools based on diagnostic prediction models are available to help general practitioners diagnose cancer. It is unclear whether or not tools expedite diagnosis or affect patient quality of life and/or survival.

OBJECTIVES

The objectives were to evaluate the evidence on the validation, clinical effectiveness, cost-effectiveness, and availability and use of cancer diagnostic tools in primary care.

METHODS

Two systematic reviews were conducted to examine the clinical effectiveness (review 1) and the development, validation and accuracy (review 2) of diagnostic prediction models for aiding general practitioners in cancer diagnosis. Bibliographic searches were conducted on MEDLINE, MEDLINE In-Process, EMBASE, Cochrane Library and Web of Science) in May 2017, with updated searches conducted in November 2018. A decision-analytic model explored the tools' clinical effectiveness and cost-effectiveness in colorectal cancer. The model compared patient outcomes and costs between strategies that included the use of the tools and those that did not, using the NHS perspective. We surveyed 4600 general practitioners in randomly selected UK practices to determine the proportions of general practices and general practitioners with access to, and using, cancer decision support tools. Association between access to these tools and practice-level cancer diagnostic indicators was explored.

RESULTS

Systematic review 1 - five studies, of different design and quality, reporting on three diagnostic tools, were included. We found no evidence that using the tools was associated with better outcomes. Systematic review 2 - 43 studies were included, reporting on prediction models, in various stages of development, for 14 cancer sites (including multiple cancers). Most studies relate to QCancer® (ClinRisk Ltd, Leeds, UK) and risk assessment tools.

DECISION MODEL

In the absence of studies reporting their clinical outcomes, QCancer and risk assessment tools were evaluated against faecal immunochemical testing. A linked data approach was used, which translates diagnostic accuracy into time to diagnosis and treatment, and stage at diagnosis. Given the current lack of evidence, the model showed that the cost-effectiveness of diagnostic tools in colorectal cancer relies on demonstrating patient survival benefits. Sensitivity of faecal immunochemical testing and specificity of QCancer and risk assessment tools in a low-risk population were the key uncertain parameters.

SURVEY

Practitioner- and practice-level response rates were 10.3% (476/4600) and 23.3% (227/975), respectively. Cancer decision support tools were available in 83 out of 227 practices (36.6%, 95% confidence interval 30.3% to 43.1%), and were likely to be used in 38 out of 227 practices (16.7%, 95% confidence interval 12.1% to 22.2%). The mean 2-week-wait referral rate did not differ between practices that do and practices that do not have access to QCancer or risk assessment tools (mean difference of 1.8 referrals per 100,000 referrals, 95% confidence interval -6.7 to 10.3 referrals per 100,000 referrals).

LIMITATIONS

There is little good-quality evidence on the clinical effectiveness and cost-effectiveness of diagnostic tools. Many diagnostic prediction models are limited by a lack of external validation. There are limited data on current UK practice and clinical outcomes of diagnostic strategies, and there is no evidence on the quality-of-life outcomes of diagnostic results. The survey was limited by low response rates.

CONCLUSION

The evidence base on the tools is limited. Research on how general practitioners interact with the tools may help to identify barriers to implementation and uptake, and the potential for clinical effectiveness.

FUTURE WORK

Continued model validation is recommended, especially for risk assessment tools. Assessment of the tools' impact on time to diagnosis and treatment, stage at diagnosis, and health outcomes is also recommended, as is further work to understand how tools are used in general practitioner consultations.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42017068373 and CRD42017068375.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology programme and will be published in full in Health Technology Assessment; Vol. 24, No. 66. See the NIHR Journals Library website for further project information.

Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan

OBJECTIVES

This study aimed to determine if treatment delay after non-small cell lung cancer (NSCLC) diagnosis impacts patient survival rate.

STUDY DESIGN

This study is a natural experiment in Taiwan. A retrospective cohort investigation was conducted from 2004 to 2010, which included 42 962 patients with newly diagnosed NSCLC.

METHODS

We identified 42 962 patients with newly diagnosed NSCLC in the Taiwan Cancer Registry from 2004 to 2010. We calculated the time interval between diagnosis and treatment initiation. All patients were followed from the index date to death or the end of 2012. Cox proportional hazard models were used to examine the relationship between mortality and time interval.

RESULTS

We included 42 962 patients (15 799 men and 27 163 women) with newly diagnosed NSCLC. The mortality rate exhibited a significantly positive correlation to time interval from cancer diagnosis to treatment initiation. The adjusted HRs ranged from 1.04 to 1.08 in all subgroups time interval more than 7 days compared with the counterpart subgroup of the interval from cancer diagnosis to treatment ≤7 days. The trend was also noted regardless of the patients with lung cancer in stage I, stage II and stage III.

CONCLUSIONS

There is a major association between time to treat and mortality of patients with NSCLC, especially in stages I and II. We suggest that efforts should be made to minimise the interval from diagnosis to treatment while further study is ongoing to determine causation.

Assessment of baseline symptom burden in treatment-naïve patients with lung cancer: an observational study

BACKGROUND

Patients with newly diagnosed lung cancer who have not yet begun treatment may already be experiencing major symptoms produced by their disease. Understanding the symptomatic effects of cancer treatment requires knowledge of pretreatment symptoms (both severity and interference with daily activities). We assessed pretreatment symptom severity, interference, and quality of life (QOL) in treatment-naïve patients with lung cancer and report factors that correlated with symptom severity.

METHODS

This was a retrospective analysis of data collected at initial intake. Symptoms/interference were rated on the MD Anderson Symptom Inventory (MDASI) between 30 days prediagnosis and 45 days postdiagnosis. We examined symptom severity by disease stage and differences in severity by histology. Linear regression analyses identified significant predictors of severe pain and dyspnea.

RESULTS

Of 460 eligible patients, 256 (62%) had adenocarcinoma, 30 (7%) had small cell carcinoma, and 100 (24%) had squamous cell carcinoma; > 30% reported moderate-to-severe (rated ≥ 5, 0-10 scale) pretreatment symptoms. The most-severe were fatigue, disturbed sleep, distress, pain, dyspnea, sadness, and drowsiness. Symptoms affected work, enjoyment of life, and general activity (interference) and physical well-being (QOL) the most. Patients with advanced disease (n = 289, 63%) had more-severe symptoms. Cancer stage was associated with pain severity; both histology and cancer stage were associated with severe dyspnea.

CONCLUSION

One third of lung cancer patients were symptomatic at initial presentation. Quantification of pretreatment symptom burden can inform patient-specific palliative therapy and differentiate disease-related symptoms from treatment-related toxicities. Poorly controlled symptoms could negatively affect treatment adherence and therapeutic outcomes.

Timely follow-up of positive cancer screening results: A systematic review and recommendations from the PROSPR Consortium

Timely follow-up for positive cancer screening results remains suboptimal, and the evidence base to inform decisions on optimizing the timeliness of diagnostic testing is unclear. This systematic review evaluated published studies regarding time to follow-up after a positive screening for breast, cervical, colorectal, and lung cancers. The quality of available evidence was very low or low across cancers, with potential attenuated or reversed associations from confounding by indication in most studies. Overall, evidence suggested that the risk for poorer cancer outcomes rises with longer wait times that vary within and across cancer types, which supports performing diagnostic testing as soon as feasible after the positive result, but evidence for specific time targets is limited. Within these limitations, we provide our opinion on cancer-specific recommendations for times to follow-up and how existing guidelines relate to the current evidence. Thresholds set should consider patient worry, potential for loss to follow-up with prolonged wait times, and available resources. Research is needed to better guide the timeliness of diagnostic follow-up, including considerations for patient preferences and existing barriers, while addressing methodological weaknesses. Research is also needed to identify effective interventions for reducing wait times for diagnostic testing, particularly in underserved or low-resource settings. CA Cancer J Clin 2018;68:199-216. © 2018 American Cancer Society.

Factors Affecting the Interval from Diagnosis to Treatment in Patients with Lung Cancer

Aims and Background

We aimed to investigate the factors affecting the interval from the beginning of the symptoms until diagnosis and treatment in patients with lung cancer.

Methods

Records of 119 lung cancer patients diagnosed in our pulmonary diseases clinic between 2004 and 2006 were evaluated retrospectively. Demographic data, histopathological tumor type, TNM stage, ECOG performance status, presence of endobronchial lesions, and radiological localization of the tumor were determined. Intervals from the first symptom to contacting a doctor, to diagnosis and to treatment were calculated. The interval from first admission to a clinic and referral to a chest physician was also calculated.

Results

Of 119 patients, 74% were diagnosed as non-small cell and 26% were as small cell lung cancer. Forty-eight percent of the patients were at stage 3B and 36% were at stage 4. ECOG performance status was 0 in 6%, 1 in 52%, 2 in 36%, 3 in 3%, and 4 in 2%. Endobronchial lesions were observed in 50% of the patients, and the lesions had a central radiological localization in 59%. Fifty-four percent of the patients presented to a chest physician first. Patients who first presented to an internal medicine clinic were referred to our pulmonary disease clinic significantly later than those who presented to other clinics (P = 0.005). The median period from the beginning of the symptoms until contacting a doctor was 35 days (range, 1-387), until diagnosis was 49 days (range, 12-396), and until beginning the treatment was 57 (range, 9-397) days. The presence of endobronchial lesions, radiological localization, TNM stage and ECOG performance status were not found to be related to the intervals from the first symptom to presentation to a doctor, to diagnosis or to the beginning of the treatment.

Conclusions

Lung cancer patients consult a doctor after a relatively long symptomatic period. Patient delays may be shortened by increasing the awareness of patients about lung cancer symptoms. Diagnostic procedures should be performed more rapidly to shorten doctor delays.

Impact of Timing of Lobectomy on Survival for Clinical Stage IA Lung Squamous Cell Carcinoma

BACKGROUND

Because the relationship between the timing of surgery following diagnosis of lung cancer and survival has not been precisely described, guidelines on what constitutes a clinically meaningful delay of resection of early-stage lung cancer do not exist. This study tested the hypothesis that increasing the time between diagnosis and lobectomy for stage IA squamous cell carcinoma (SCC) would be associated with worse survival.

METHODS

The association between timing of lobectomy and survival for patients with clinical stage IA SCC in the National Cancer Data Base (2006-2011) was assessed using multivariable Cox proportional hazards analysis and restricted cubic spline (RCS) functions.

RESULTS

The 5-year overall survival of 4,984 patients who met study inclusion criteria was 58.3% (95% CI, 56.3-60.2). Surgery was performed within 30 days of diagnosis in 1,811 (36%) patients, whereas the median time to surgery was 38 days (interquartile range, 23, 58). In multivariable analysis, patients who had surgery 38 days or more after diagnosis had significantly worse 5-year survival than patients who had surgery earlier (hazard ratio, 1.13 [95% CI, 1.02-1.25]; P = .022). Multivariable RCS analysis demonstrated the hazard ratio associated with time to surgery increased steadily the longer resection was delayed; the threshold time associated with statistically significant worse survival was ∼90 days or greater.

CONCLUSIONS

Longer intervals between diagnosis of early-stage lung SCC and surgery are associated with worse survival. Although factors other than the timing of treatment may contribute to this finding, these results suggest that efforts to minimize delays beyond those needed to perform a complete preoperative evaluation may improve survival.

Does timeliness of care in Non-Small Cell Lung Cancer impact on survival?

OBJECTIVES

To measure time intervals in the management of Non-Small Cell Lung Cancer (NSCLC) patients, identify factors associated with this and evaluate the impact of timeliness of care on survival.

MATERIALS AND METHODS

A retrospective cohort of South Western Sydney (SWS) patients with newly diagnosed NSCLC from 2006 to 2012 was identified from the SWSLHD Clinical Cancer Registry. Time intervals evaluated in days were "Diagnosis to Initial Treatment" and "Referral to Initial Treatment". Treatment included surgery, radiotherapy, systemic therapy and palliative care. Negative binomial regression and Cox regression were used to identify factors associated with timeliness of care and survival respectively.

RESULTS

1926 NSCLC patients were identified of whom 1729 had initial treatment recorded. Initial treatment was palliative care in 35% (n=611), radiotherapy in 29% (n=498), surgery in 18% (n=314) and systemic therapy in 18% (n=306). Median time from diagnosis to treatment was 32days (IQR 15-58). Median time from specialist referral to treatment was 35days for surgery (IQR 21-49), 21days for radiotherapy (IQR 13-32) and 25days (IQR 15-35) for systemic therapy. On multivariable analysis, age between 70 and 79 years, ECOG performance status 0-1, Stage I-III NSCLC and systemic treatment were associated with longer Diagnosis to Treatment: intervals. Diagnosis to Treatment: interval was not associated with mortality in Stage I & II NSCLC. A longer interval was associated with reduced mortality in Stage III (HR 0.99, 95%CI 0.99-1.0, p=0.03) and Stage IV NSCLC (HR=0.99, 95% CI 0.99-0.99, p=0.0008).

CONCLUSIONS

At the population level, longer Diagnosis to Treatment: time intervals were not associated with adverse survival outcomes in NSCLC. However, delays to treatment may impact on other outcomes such as patient's psychological wellbeing and quality of life which were not measured in this study.

The relationship of cancer characteristics and patient outcome with time to lung cancer diagnosis after an abnormal screening CT

PURPOSE

The National Lung Screening Trial (NLST) demonstrated a reduction in lung cancer and all-cause mortality with low-dose CT (LDCT) screening. The aim of our study was to examine the time to diagnosis (TTD) of lung cancer in the LDCT arm of the NLST and assess its relationship with cancer characteristics and survival.

METHODS

The subjects (N = 462) with a positive baseline screen and subsequent lung cancer diagnosis within 3 years were evaluated by data and image review to confirm the baseline abnormality. The cases were analysed for the relationship between TTD and imaging features, cancer type, stage and survival for 7 years from baseline screen.

RESULTS

Cancer was judged to be present at baseline in 397/462 cases. The factors that showed significant association (p value trend less than 0.05) with longer TTD included smaller nodule size, pure ground glass nodules (GGNs), smooth/lobulated margins, stages I/II, adenocarcinoma, and decreasing lung cancer mortality. The logistic regression model for lung cancer death showed significant inverse relationships with size less than 20 mm (OR = 0.32), pure GGNs (OR = 0.24), adenocarcinoma (OR = 0.57) and direct relationship with age (OR = 1.4).

CONCLUSION

TTD after a positive LDCT screen in the NLST showed a strong association with imaging features, stage and mortality.

KEY POINTS

• NLST observed variable time to lung cancer diagnosis from positive baseline screen. • Time to diagnosis was associated with imaging features, cancer type and stage. • In univariate but not multivariate analysis, longer TTD correlated with decreased mortality.

Long-Term Effectiveness of Combined Treatment with Traditional Chinese Medicine and Western Medicine on the Prognosis of Patients with Lung Cancer

OBJECTIVES

The study aim was to compare the long-term effect of Western medicine and combined treatment with Traditional Chinese Medicine (TCM) and Western medicine on the prognosis (survival rate, symptom distress, physical function, and quality of life) of patients with lung cancer.

DESIGN

Longitudinal study.

SETTING/LOCATION

Two medical centers, one each in Northern and Southern Taiwan.

PATIENTS

Patients newly diagnosed with lung cancer and treated with Western medicine (n = 54) or TCM plus Western medicine (n = 30).

OUTCOME MEASURES

Symptom distress, physical function, and quality of life were measured by using the Symptom Distress Scale, Eastern Cooperative Oncology Group-Performance Status Rating, and European Organization for Research and Treatment of Cancer Quality of Life Questionnaires (EORTC QLQ-C30 and EORTC QLQ-LC13), respectively. Data on these measures were collected at baseline (before treatment) and 1, 3, 6, and 12 months after starting treatment. Survival was estimated by Kaplan-Meier curves. Group differences in outcomes were analyzed by generalized estimating equations.

RESULTS

Treatment groups did not differ significantly at baseline for demographic information; disease severity; symptom distress; or EORTC QLQ-C30 and QLQ-LC13 scores, except for pain and dyspnea. After adjustment for these baseline effects, the combined-treatment group had better physical function and role function than the Western medicine group at 6 months (p < 0.05). The combined treatment group had better cumulative survival, but this difference did not reach significance.

CONCLUSIONS

To more precisely estimate the long-term effectiveness of combined treatment on the prognosis of patients with lung cancer, future studies should standardize the number of TCM visits; increase the number of participants by continuous recruitment; and ask patients to complete daily logs with single-item measures of outcomes, such as symptom distress, quality of life, and physical function. Similar studies are suggested in patients with different cancers to develop a collaborative model using Western medicine and TCM.

Guideline-concordant timely lung cancer care and prognosis among elderly patients in the United States: A population-based study

OBJECTIVES

Elderly carry a disproportionate burden of lung cancer in the US. Therefore, its important to ensure that these patients receive quality cancer care. Timeliness of care is an important dimension of cancer care quality but its impact on prognosis remains to be explored. This study evaluates the variations in guideline-concordant timely lung cancer care and prognosis among elderly in the US.

MATERIALS AND METHODS

Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2002-2007), we identified elderly patients with lung cancer (n=48,850) and determined time to diagnosis and treatment. We categorized patients by receipt of timely care using guidelines from the British Thoracic Society and the RAND Corporation. Hierarchical generalized logistic model was constructed to identify variables associated with receipt of timely care. Kaplan-Meier analysis and Log Rank test was used for estimation and comparison of the three-year survival. Multivariable Cox proportional hazards model was constructed to estimate lung cancer mortality risk associated with receipt of delayed care.

RESULTS

Time to diagnosis and treatment varied significantly among the elderly. However, majority of them (77.5%) received guideline-concordant timely lung cancer care. The likelihood of receiving timely care significantly decreased with NSCLC disease, early stage diagnosis, increasing age, non-white race, higher comorbidity score, and lower income. Paradoxically, survival outcomes were significantly worse among patients receiving timely care. Adjusted lung cancer mortality risk was also significantly lower among patients receiving delayed care, relative to those receiving timely care (Hazard ratio (HR)=0.68, 95% Confidence interval (CI)=(0.66-0.71); p ≤ 0.05).

CONCLUSION

This study highlights the critical need to address disparities in receipt of guideline-concordant timely lung cancer care among elderly. Although timely care was not associated with better prognosis in this study, any delays in diagnosis and treatment should be avoided, as it may increase the risk of disease progression and psychological stress in patients. Furthermore, given that lung cancer diagnostic and management services are covered under the Medicare program, observed delays in care among Medicare beneficiaries is also a cause for concern.

Pathologic Upstaging in Patients Undergoing Resection for Stage I Non-Small Cell Lung Cancer: Are There Modifiable Predictors?

BACKGROUND

A substantial proportion of patients with clinical stage I non-small cell lung cancer (NSCLC) have more advanced disease on final pathologic review. We studied potentially modifiable factors that may predict pathologic upstaging.

METHODS

Data of patients with clinical stage I NSCLC undergoing resection were obtained from the National Cancer Database. Univariate and multivariate analyses were performed to identify variables that predict upstaging.

RESULTS

From 1998 to 2010, 55,653 patients with clinical stage I NSCLC underwent resection; of these, 9,530 (17%) had more advanced disease on final pathologic review. Of the 9,530 upstaged patients, 27% had T3 or T4 tumors, 74% had positive lymph nodes (n > 0), and 4% were found to have metastatic disease (M1). Patients with larger tumors (38 mm vs 29 mm, p < 0.001) and a delay greater than 8 weeks from diagnosis to resection were more likely to be upstaged. Upstaged patients also had more lymph nodes examined (10.9 vs 8.2, p < 0.001) and were more likely to have positive resection margins (10% vs 2%, p < 0.001). Median survival was lower in upstaged patients (39 months vs 73 months). Predictors of upstaging in multivariate regression analysis included larger tumor size, delay in resection greater 8 weeks, positive resection margins, and number of lymph nodes examined. There was a linear relationship between the number of lymph nodes examined and the odds of upstaging (1 to 3 nodes, odds ratio [OR] 2.01; >18 nodes OR 6.14).

CONCLUSIONS

Pathologic upstaging is a common finding with implications for treatment and outcomes in clinical stage I NSCLC. A thorough analysis of regional lymph nodes is critical to identify patients with more advanced disease.

Disparities in Lung Cancer Care and Outcomes among Elderly in a Medically Underserved State Population-A Cancer Registry-Linked Database Study

Despite availability of guidelines for lung cancer care, variations in lung cancer care among the elderly exist across the nation and are a cause for concern in rural and medically underserved areas. Therefore, the purpose of this study was to evaluate the patterns of lung cancer care and associated health outcomes among elderly residing in a rural and medically underserved area. The authors identified 1924 elderly lung cancer patients from the West Virginia Cancer Registry-Medicare linked database (2002-2007) and categorized them by receipt of guideline-concordant (appropriate and timely) care using guidelines from the American College of Chest Physicians, British Thoracic Society, and the RAND Corporation. Hierarchical generalized logistic models were constructed to identify variables associated with receipt of guideline-concordant care. Kaplan-Meier analysis and log-rank test were used to compare 3-year survival outcomes. Multivariate Cox proportional hazards models were constructed to estimate lung cancer mortality risk associated with nonreceipt of guideline-concordant care. Although guideline-concordant appropriate care was received by fewer than half of all patients (46.5%), of those receiving care, 78.7% received it in a timely manner. Delays in diagnosis and treatment varied significantly. Survival outcomes significantly improved with appropriate care (799 vs. 366 days; P≤0.05), but did not improve with timely care. This study highlights the critical need to address disparities in receipt of guideline-concordant lung cancer care among the elderly residing in rural and medically underserved areas. Although lung cancer diagnostic and management services are covered under the Medicare program, underutilization of these services is a concern. (Population Health Management 2016;19:109-119).

Effects of Delayed Surgical Resection on Short-Term and Long-Term Outcomes in Clinical Stage I Non-Small Cell Lung Cancer

BACKGROUND

Conflicting evidence currently exists regarding the causes and effects of delay of care in non-small cell lung cancer (NSCLC). We hypothesized that delayed surgery in early-stage NSCLC is associated with worse short-term and long-term outcomes.

METHODS

Treatment data of clinical stage I NSCLC patients undergoing surgical resection were obtained from the National Cancer Data Base (NCDB). Treatment delay was defined as resection 8 weeks or more after diagnosis. Propensity score matching for patient and tumor characteristics was performed to create comparable groups of patients receiving early (less than 8 weeks from diagnosis) and delayed surgery. Multivariable regression models were fitted to evaluate variables influencing delay of surgery.

RESULTS

From 1998 to 2010, 39,995 patients with clinical stage I NSCLC received early surgery, while 15,658 patients received delayed surgery. Of these, 27,022 propensity-matched patients were identified. Those with a delay in care were more likely to be pathologically upstaged (18.3% stage 2 or higher versus 16.6%, p < 0.001), have an increased 30-day mortality (2.9% vs 2.4%, p = 0.01), and have decreased median survival (57.7 ± 1.0 months versus 69.2 ± 1.3 months, p < 0.001). Delay in surgery was associated with increasing age, non-white race, treatment at an academic center, urban location, income less than $35,000, and increasing Charlson comorbidity score (p < 0.0001 for all). Delayed patients were more likely to receive a sublobar resection (17.2% vs 13.1%, p < 0.001).

CONCLUSIONS

Patients receiving delayed resection for clinical stage I NSCLC have higher comorbidity scores that may affect ability to perform lobectomy and result in higher perioperative mortality. However, delay in resection is independently associated with increased rates of upstaging and decreased median survival. Strategies to minimize delay while medically optimizing higher risk patients are needed.

Is increased time to diagnosis and treatment in symptomatic cancer associated with poorer outcomes? Systematic review

BACKGROUND

It is unclear whether more timely cancer diagnosis brings favourable outcomes, with much of the previous evidence, in some cancers, being equivocal. We set out to determine whether there is an association between time to diagnosis, treatment and clinical outcomes, across all cancers for symptomatic presentations.

METHODS

Systematic review of the literature and narrative synthesis.

RESULTS

We included 177 articles reporting 209 studies. These studies varied in study design, the time intervals assessed and the outcomes reported. Study quality was variable, with a small number of higher-quality studies. Heterogeneity precluded definitive findings. The cancers with more reports of an association between shorter times to diagnosis and more favourable outcomes were breast, colorectal, head and neck, testicular and melanoma.

CONCLUSIONS

This is the first review encompassing many cancer types, and we have demonstrated those cancers in which more evidence of an association between shorter times to diagnosis and more favourable outcomes exists, and where it is lacking. We believe that it is reasonable to assume that efforts to expedite the diagnosis of symptomatic cancer are likely to have benefits for patients in terms of improved survival, earlier-stage diagnosis and improved quality of life, although these benefits vary between cancers.

Clinical and organizational factors in the initial evaluation of patients with lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines

BACKGROUND

This guideline is intended to provide an evidence-based approach to the initial evaluation of patients with known or suspected lung cancer. It also includes an assessment of the impact of timeliness of care and multidisciplinary teams on outcome.

METHODS

The applicable current medical literature was identified by a computerized search and evaluated using standardized methods. Recommendations were framed using the approach described by the Guidelines Oversight Committee of the American College of Chest Physicians. Data sources included MEDLINE and the Cochrane Database of Systematic Reviews.

RESULTS

Initial evaluation should include a thorough history and physical examination; CT imaging; pulmonary function tests; and hemoglobin, electrolyte, liver function, and calcium levels. Additional testing for distant metastases and paraneoplastic syndromes should be determined on the basis of these results. Paraneoplastic syndromes may have an adverse impact on cancer treatment, so they should be controlled rapidly with the goal of proceeding with definitive cancer treatment in a timely manner. Although the relationship between timeliness of care and survival is difficult to quantify, efforts to deliver timely care are reasonable and should be balanced with the need to attend to other dimensions of health-care quality (eg, safety, effectiveness, efficiency, equality, consistency with patient values and preferences). Quality care will require multiple disciplines. Although it is difficult to assess the impact, we suggest that a multidisciplinary team approach to care be used, particularly for patients requiring multimodality therapy.

CONCLUSIONS

The initial evaluation of patients with lung cancer should include a thorough history and physical examination, pulmonary function tests, CT imaging, basic laboratory tests, and selective testing for distant metastases and paraneoplastic syndromes.

Chronic obstructive pulmonary disease and vascular disease delay timeliness of early stage lung cancer resectional surgery

INTRODUCTION

Lung cancer remains the leading cause of cancer death in the United States and worldwide. Timeliness to diagnosis and referral for resectional surgery is key to successful management for early stage disease.

METHODS

We investigated the contribution of medical co-morbidities in the timeliness to resectional surgery for non-small cell lung cancer (NSCLC). A retrospective record review of NSCLC surgery cases at Naval Medical Center San Diego (NMCSD) from 2004 to 2009 from the tumor registry was conducted.

RESULTS

More than 75% of NSCLC patients exhibited at least one co-morbidity. Of the 84 patients, 26% of patients had diabetes, patients with different vascular co-morbidities accounted for 39%, whereas 33% of subjects had COPD. Patients with sleep apnea or liver disease each accounted for 6%. Vascular disease co-morbidity and COPD in NSCLC patients significantly delayed time from initial cardiothoracic surgery evaluation to thoracotomy (p = 0.01-0.02 and p < 0.05 respectively).

CONCLUSION

Although significances of different co-morbities in the development NSCLC cannot be extrapolated, theses data show that COPD and vascular diseases are significant risk factors that delay surgical treatment of early stage lung cancer.

Prognostic implications of treatment delays in the surgical resection of lung cancer

The survival of patients with lung cancer remains low in most developed countries, which is largely attributable to the advanced stage of the disease when it presents. It seems obvious that if lung cancer could be found at an earlier stage, the prognosis of patients would be improved. The evidence from the medical literature on this point is conflicting; most studies suggest that delays in diagnosis are not prognostically important. When strategies are in place to expedite the investigation of individuals suspected of having lung cancer, the stage of disease typically shifts toward earlier-stage disease and resection rates increase.

Delay between the initial symptoms, the diagnosis and the onset of specific treatment in elderly patients with lung cancer

INTRODUCTION

The proportion of elderly patients with lung cancer is increasing. The objectives of this study were to describe the initial symptoms in elderly patients (≥ 70 years) with lung cancer and to describe the diagnostic and treatment delays.

PATIENTS AND METHODS

We reviewed all consecutive patients with lung cancer that were diagnosed between 2006 and 2008 in our department. The initial symptoms and delays in the diagnosis and treatment in elderly patients were compared with those of younger patients.

RESULTS

One hundred ninety-three patients were included (26 small-cell cancers and 167 non-small-cell lung cancers [NSCLCs]). Ninety-two patients (47.7%) were ≥ 70 years old. No statistical differences were identified between the 2 groups concerning initial symptoms. In elderly patients, the delay between the initial symptoms and the first visit with a thoracic oncologist (median 1.6 months [IQR 23 days-3.3 months]), the delay between the first visit and the specific treatment (median 1.1 months [IQR 18 days-1.8 months]), and the delay between initial symptoms and the specific treatment (median 3 months [IQR 2-5.7 months]) were similar to those in the younger patients (P = .101, P = .084, and P = .671, respectively). Eighty-four percent of the elderly patients were actively treated vs. 98% of the younger patients (P = .001).

CONCLUSION

We identified no differences regarding the initial symptoms in elderly patients with lung cancer compared with those in younger patients. The delays in diagnosis and treatment were similar between the 2 groups.

Timeliness of lung cancer diagnosis and treatment in a rapid outpatient diagnostic program with combined 18FDG-PET and contrast enhanced CT scanning

INTRODUCTION

Delays in the diagnosis of lung cancer are under debate and may affect outcome. The objectives of this study were to compare various delays in a rapid outpatient diagnostic program (RODP) for suspected lung cancer patients with those described in literature and with guideline recommendations, to investigate the effects of referral route and symptoms on delays, and to establish whether delays were related to disease stage and outcome.

METHODS

A retrospective chart study was conducted of all patients with suspected lung cancer, referred to the RODP of our tertiary care university clinic between 1999 and 2009. Patient characteristics, tumor stage and different delays were analyzed.

RESULTS

Medical charts of 565 patients were retrieved. 290 patients (51.3%) were diagnosed with lung cancer, 48 (8.5%) with another type of malignancy, and in 111 patients (19.6%) the radiological anomaly was diagnosed as non-malignant. In 112 (19.8%) no immediate definite diagnosis was obtained, however in 82 of these cases (73.2%) the proposed follow-up strategy confirmed a benign outcome. The median first line delay was 54 days, IQR (interquartile range) 20-104 days, median patient delay 19 days (IQR 4-52 days), median referral delay was 7 days (IQR 5-9 days), median diagnostic delay 2 days (IQR 1-19 days). In 87% a diagnosis was obtained within 3 weeks after visiting a chest physician and 52.5% started curative therapy within 2 weeks after diagnosis. Patients presenting with hemoptysis had shorter first line delays. The RODP care was generally far more timely compared to literature and published guidelines, except for both referral and palliative therapeutic delay. No specific delay was significantly related to disease stage or survival.

CONCLUSIONS

An RODP results in a timely diagnosis well within guideline recommendations. Patient and first line delay account for most of total patient delay. Within the limitations of this retrospective study, we found no association with disease stage or survival.

Lung cancer diagnostic and treatment intervals in the United States: a health care disparity?

INTRODUCTION

Lung cancer diagnostic and treatment delays have been described for several patient populations. However, few studies have analyzed these intervals among patients treated in contemporary health care systems in the United States. We therefore studied the timing of lung cancer diagnosis and treatment at a U.S. medical center providing care to a diverse patient population within two different hospital systems.

METHODS

We performed a retrospective analysis of consecutive patients diagnosed with non-small cell lung cancer stage I to III from 2000 to 2005 at public and private hospitals affiliated with the University of Texas Southwestern Medical Center. We recorded patient and disease characteristics; dates of initial radiograph suspicious for lung cancer, diagnosis, and treatment; and overall survival. Associations between these factors were assessed using univariate analysis, multivariate logistic regression, and Kaplan-Meier survival analysis.

RESULTS

A total of 482 patients met criteria for analysis. In univariate analyses, the image-treatment interval was significantly associated with race, age, income, insurance type, and hospital type (76 days for public versus 45 days for private; p < 0.0001). In multivariate analysis, only hospital type remained significantly associated with the image-treatment interval; patients in the private hospital setting were more likely to receive timely treatment (hazard ratio 1.85; 95% confidence interval, 1.37-2.50; p < 0.001). In univariate analysis, the image-treatment interval was not associated with disease stage (p = 0.27) or with survival (p = 0.42).

CONCLUSION

Intervals between suspicion, diagnosis, and treatment of lung cancer vary widely among patients. Health care system factors, such as hospital type, largely account for these discrepancies. In this study, these intervals do not appear to be associated with clinical outcomes.

Duration of symptoms, stage at diagnosis and relative survival in colon and rectal cancer

In colorectal cancer, the relation between duration of symptoms and stage at presentation and prognosis is not yet settled. All 1263 patients treated for colorectal cancer at Levanger Hospital, 1980-2004, and 2892 patients treated in Norway during 2004 were included. The association between symptom duration as an explanatory variable and tumour stage as a dependent variable was analysed using a proportional odds logistic regression model. Known duration of symptoms was divided into four categories: <1 week, 1-8 weeks, 2-6 months and >6 months. There was an inverse relationship between symptom duration and colon cancer TNM-stage, OR=0.73 (95% CI 0.63-0.84), p<0.001 (Levanger Hospital) and 0.84 (0.75-0.95), p=0.004 (Norway 2004), where the OR is per category of symptom duration. Duration of symptoms were also inversely associated with T-stage, N-stage and M-stage in colon cancer. These relationships were not found for rectal cancer. In colon cancer the relative five-year survival for the four intervals of symptom duration was 44%, 39%, 54% and 66%, p<0.001, in Levanger, 1980-2004, and four-year survival was 46%, 62%, 75% and 74%, p<0.001, in Norway 2004, respectively. For rectal cancer survival was not dependent on symptom duration. In a multivariate analysis of relative survival of patients with colon cancer, duration of symptoms was associated with survival independent of tumour differentiation and TNM-stage. Increasing duration of symptoms was positively associated with less advanced disease and better survival in colon cancer, but not in rectal cancer.

Intervals between symptom onset and clinical presentation in cancer patients

OBJECTIVE

We aimed to investigate relative values of the intervals between symptom onset and clinical presentation in cancer patients and to correlate them with diagnosis of distant metastasis.

METHODS

Cancer registry and medical records of all cancer patients for over a 10-year period in a medical center of Japan were reviewed. We examined the intervals of symptom onset to clinical presentation and the presence of metastasis at diagnosis.

RESULTS

In 3,893 cancer patients, the mean interval of symptom onset to clinical presentation was 89 days (median, 30 days). The cancer group with a short interval of only days to weeks included hepatobiliary, ovary, brain, and acute leukemia. The group with a long interval of months to years included head and neck, thyroid, and skin cancers. Other types of cancer were included in the middle group with an interval of weeks to months. Among patients with head & neck, skin, and ovarian cancers, the longer interval was significantly associated with a lower likelihood of distant metastasis. A longer interval with an increment of each month was associated with a lower likelihood for distant metastasis with an odds ratio of 0.97 (95% CI, 0.96-0.99).

CONCLUSION

Hepatobiliary, ovary, brain, and acute leukemia are among the cancer types with an interval of days to weeks, while head and neck, thyroid, and skin cancers are among the types with an interval of months to years. Among patients with solid tumors, those with metastasis are likely to present to a physician more promptly.

Timeliness of care in veterans with non-small cell lung cancer

BACKGROUND

Timeliness is an important dimension of quality of care for patients with lung cancer.

METHODS

We reviewed the records of consecutive patients in whom non-small cell lung cancer (NSCLC) had been diagnosed between January 1, 2002, and December 31, 2003, at the Veterans Affairs Palo Alto Health Care System. We used multivariable statistical methods to identify independent predictors of timely care and examined the effect of timeliness on survival.

RESULTS

We identified 129 veterans with NSCLC (mean age, 67 years; 98% men; 83% white), most of whom had adenocarcinoma (51%) or squamous cell carcinoma (30%). A minority of patients (18%) presented with a solitary pulmonary nodule (SPN). The median time from the initial suspicion of cancer to treatment was 84 days (interquartile range, 38 to 153 days). Independent predictors of treatment within 84 days included hospitalization within 7 days (odds ratio [OR], 8.2; 95% confidence interval [CI], 2.9 to 23), tumor size of > 3.0 cm (OR, 4.8; 95% CI, 1.8 to 12.4), the presence of additional chest radiographic abnormalities (OR, 3.0; 95% CI, 1.1 to 8.5), and the presence of one or more symptoms suggesting metastasis (OR, 2.6; 95% CI, 1.1 to 6.2). More timely care was not associated with better survival time (adjusted hazard ratio, 1.6; 95% CI, 1.3 to 1.9). However, in patients with SPNs, there was a trend toward better survival time when the time to treatment was < 84 days.

CONCLUSIONS

The time to treatment for patients with NSCLC was often longer than recommended. Patients with larger tumors, symptoms, and other chest radiographic abnormalities receive more timely care. In patients with malignant SPNs, survival may be better when treatment is initiated promptly.