Effectiveness of intensive follow-up after response in patients with small cell lung cancer

Real-world treatment patterns and outcomes in small-cell lung cancer: a systematic literature review

Background

Small-cell lung cancer (SCLC) accounts for 12-15% of lung cancers and is associated with poor survival outcomes and high symptom burden. This study employed a broad, systematic search strategy and timeframe to identify evidence on real-world treatment patterns and outcomes for SCLC outside the USA, including understanding sub-populations such as extensive-stage (ES) or limited-stage (LS) disease.

Methods

Databases (MEDLINE, Embase, and EBM reviews) were searched for journal articles published in the English language between 1 January 2000-1 March 2020 and supplemented by hand searching of conference abstracts and posters presented at conferences between 1 January 2016-1 March 2020 reporting real-world treatment outcomes in patients with SCLC. A targeted clinical guideline review was also completed.

Results

One-hundred studies provided quantitative data; 57 were available as full-text articles, whilst the remaining 43 were presented as abstracts or posters. The majority (80 studies, 80%) of included studies reported treatment in the first-line setting, where platinum-based chemotherapy and chemoradiotherapy was the most commonly used treatment strategy, in line with current treatment guidelines in SCLC. First-line treatments were found to have a high response rate; however, most patients relapsed early. No studies reported treatment or outcomes with immune-oncology therapies. Second-line treatment options were very limited, and primarily consisted of either re-treatment with first-line regimen or topotecan, but the prognosis for these patients remained poor. Outcomes were particularly poor amongst those with ES or relapsed disease vs. LS disease.

Conclusions

SCLC treatment patterns and short survival outcomes have remained constant over the previous 20 years. Due to the search timeframe, none of the studies identified reported on the impact of recently approved immune-oncology therapies in SCLC. Further data is needed on the impact of immunotherapies on treatment patterns and real-world outcomes in SCLC.

Decreased Medical Care During the COVID-19 Pandemic - A Comprehensive Analysis of Radiological Examinations

OBJECTIVES

As a cross-section discipline within the hospital infrastructure, radiological departments might be able to provide important information regarding the impact of the COVID-19 pandemic on healthcare. The goal of this study was to quantify changes in medical care during the first wave of the pandemic using radiological examinations as a comprehensive surrogate marker and to determine potential future workload.

METHODS

A retrospective analysis of all radiological examinations during the first wave of the pandemic was performed. The number of examinations was compared to time-matched control periods. Furthermore, an in-depth analysis of radiological examinations attributed to various medical specialties was conducted and postponed examinations were extrapolated to calculate additional workload in the near future.

RESULTS

A total of 596,760 examinations were analyzed. Overall case volumes decreased by an average of 41 % during the shutdown compared to the control period. The most affected radiological modalities were sonography (-54 %), X-ray (-47 %) followed by MRI (-42 %). The most affected medical specialty was trauma and orthopedics (-60 % case volume) followed by general surgery (-49 %). Examination numbers increased during the post-shutdown period leading to a predicted additional workload of up to 22 %.

CONCLUSION

This study shows a marked decrease in radiological examinations in total and among several core medical specialties, indicating a significant reduction in medical care during the first COVID-19 shutdown.

KEY POINTS

· Number of radiological examinations decreased by 41 % during the first wave of the COVID-19 pandemic.. · Several core medical specialties were heavily affected with a reduction of case volumes up to 60 %.. · When extrapolating postponed examinations to the near future, the overall workload for radiological departments might increase up to 22 %..

CITATION FORMAT

· Fleckenstein FN, Maleitzke T, Böning G et al. Decreased Medical Care During the COVID-19 Pandemic - A Comprehensive Analysis of Radiological Examinations. Fortschr Röntgenstr 2021; 193: 937 - 946.

Surveillance of Lung Cancer and Mesothelioma Patients With Noncurative Treatment Intent: A Narrative Review

BACKGROUND

Lung cancer patients with advanced disease and no active treatment options currently face frequent follow-up visits to outpatient clinics, associated with significant anxiety, time commitment, and costs. Visits also place considerable strain on the health system. Evidence from other cancers and chronic health conditions suggests virtual or remote follow-up can lead to higher patient satisfaction without negatively impacting health outcomes such as survival time.

OBJECTIVE

The aim of this review was to identify patient preferences for, and any evidence of relative effectiveness of, different surveillance protocols for patients who have noncurative treatment intent for lung cancer or mesothelioma.

INTERVENTIONS/METHODS

MEDLINE, PubMed, and CINAHL Plus databases were searched for articles published between 1998 and June 2018. The search was restricted to English-language publications and included all original research.

RESULTS

Nine studies met the inclusion criteria, with most studies being retrospective. Findings identified the need for reassurance and hope as part of surveillance, the importance of trust and relationship, and the lack of consistency and evidence around frequency and method of surveillance models.

CONCLUSIONS

Current surveillance is based on expert opinion with little consideration of patient preferences, quality of life, impact on anxiety, and impact on survival outcomes.

IMPLICATIONS FOR PRACTICE

Nurses play a key role in managing surveillance programs for noncurative lung cancer patients. Programs should be built using codesign approaches to ensure best outcomes. Further research needs to be conducted, ensuring directed surveillance models that meet the holistic needs of patients.

Effectiveness of intensive clinical and radiological follow-up in patients with surgically resected NSCLC. Analysis of 2661 patients from the prospective MAGRIT trial

BACKGROUND

Limited evidence is available on effectiveness of clinicoradiological follow-up of early-stage NSCLC patients. MAGRIT was a phase III adjuvant RCT conducted in surgically resected stage IB-IIIA NSCLC patients, in which all participants had a prospectively defined intensive clinicoradiological follow-up.

METHODS

At patient-level data, we analyzed detection modality of disease recurrences and new primary lung cancer (i.e. detected by clinicoradiological scheduled exams versus by interim unscheduled exams), features associated with higher risk of locoregional and/or distant recurrence, and recurrence rates over time.

RESULTS

In the 2261 patients studied, there was a significant association between the type of recurrence and the modality of detection: 88.4% (95% CI, 84%-91%) of the locoregional recurrences and 93.2% (95% CI, 84%-99%) of the new primary lung cancers were detected by scheduled exams, whereas this was only 68.7% (95% CI, 65%-73%) for distant metastases (p < 0.001). Survival of patients with locoregional recurrence or new primary lung cancer detected by scheduled exams was significantly better as compared with those detected by unscheduled exams (HR 0.56, 95% CI 0.36-0.87; p = 0.01). Survival was similarly poor in patients with distant recurrences, both with scheduled and unscheduled detection (3-year survival after recurrence 22.0% and 21.8%, respectively). Recurrence rate was the highest in the first 18 months after surgery-with a peak between month 6 and 12-decreasing thereafter. The hazard of a second primary lung cancer was constant over time.

CONCLUSION

Intensive follow-up is effective in detecting locoregional recurrences and second primary lung cancers, with impact on patients' survival but did not influence the detection of distant recurrences.

Serum low-density lipoprotein and low-density lipoprotein expression level at diagnosis are favorable prognostic factors in patients with small-cell lung cancer (SCLC)

Background

Patients with small-cell lung cancer (SCLC) patients demonstrate varied survival outcomes. Previous studies have reported that lipoproteins are associated with prognosis in various cancers; however, the role of low-density lipoprotein (LDL) and low-density lipoprotein- cholesterol (LDLR) in patients with SCLC has not been studied.

Methods

In this study, the impact of LDL and LDLR on the prognosis of SCLC patients was evaluated. A total of 601 patients with SCLC were retrospectively evaluated, in which 198 patients had adequate tissues for immunohistochemistry, and serum LDL and LDLR expression levels at baseline were tested. X-tile tool, and univariate and multivariate Cox analysis were used to assess the association between LDL, LDLR and overall survival (OS).

Results

Univariate analysis demonstrated that a lower LDL level was significantly associated with superior OS (P = 0.037). Similarly, LDLR also significantly predicted OS (P = 0.003). Multivariate Cox analyses confirmed that lower LDL and LDLR expression was independent prognostic factors associated with longer OS (P = 0.019 and P = 0.027, respectively).

Conclusions

This study showed that both LDL and LDLR are prognostic indexes for survival in patients with SCLC. Patients with high LDL or LDLR expression level may benefit from treatment that modulates lipoprotein combined with platinum-based chemotherapy.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-017-3239-z) contains supplementary material, which is available to authorized users.

Pretreatment Albumin/Globulin Ratio Predicts the Prognosis for Small-Cell Lung Cancer

The pretreatment albumin/globulin ratio (AGR) has been used as a prognostic factor in various cancers. This study aimed to evaluate the predictive value of AGR in small-cell lung cancer (SCLC).We tested albumin and total proteins in plasma samples from 276 SCLC patients from our cancer center between January 2003 and December 2006. The AGR was defined by the formula: albumin/(total proteins-albumin). The correlation between AGR and overall survival (OS) was examined by Kaplan-Meier and Cox regression methods. For validation, AGR was used to evaluate the prognosis of SCLC in another independent group.Total 276 patients (testing) and 379 patients (validation) were finally enrolled. The median OS was 15.31 months for testing patients and 15.06 months for validation patients, respectively. We determined 1.29 as the cutoff value by using the biostatistical tool (Cutoff Finder), then the patients in the testing group were classified into 2 groups. Kaplan-Meier curves showed high AGR group had significantly longer OS than low AGR group (P = 0.026). According to multivariate analyses, AGR was an independent prognostic factor for OS of SCLC patients in the testing group (HR, 1.35, 95% CI: 1.01-1.81, P = 0.046). In the validation group, AGR was also verified as a predictive factor for OS (P < 0.001), and the risk of SCLC in the low AGR group was 1.43 times higher than that in the high AGR group (HR, 1.43, 95% CI: 1.05-1.94, P = 0.022).AGR is an independent prognostic marker in SCLC patients. Furthermore, it could be of great value in the management of SCLC patients.

Early Prediction of Disease Progression in Small Cell Lung Cancer: Toward Model-Based Personalized Medicine in Oncology

Predictive biomarkers can play a key role in individualized disease monitoring. Unfortunately, the use of biomarkers in clinical settings has thus far been limited. We have previously shown that mechanism-based pharmacokinetic/pharmacodynamic modeling enables integration of nonvalidated biomarker data to provide predictive model-based biomarkers for response classification. The biomarker model we developed incorporates an underlying latent variable (disease) representing (unobserved) tumor size dynamics, which is assumed to drive biomarker production and to be influenced by exposure to treatment. Here, we show that by integrating CT scan data, the population model can be expanded to include patient outcome. Moreover, we show that in conjunction with routine medical monitoring data, the population model can support accurate individual predictions of outcome. Our combined model predicts that a change in disease of 29.2% (relative standard error 20%) between two consecutive CT scans (i.e., 6-8 weeks) gives a probability of disease progression of 50%. We apply this framework to an external dataset containing biomarker data from 22 small cell lung cancer patients (four patients progressing during follow-up). Using only data up until the end of treatment (a total of 137 lactate dehydrogenase and 77 neuron-specific enolase observations), the statistical framework prospectively identified 75% of the individuals as having a predictable outcome in follow-up visits. This included two of the four patients who eventually progressed. In all identified individuals, the model-predicted outcomes matched the observed outcomes. This framework allows at risk patients to be identified early and therapeutic intervention/monitoring to be adjusted individually, which may improve overall patient survival.

Chemotherapy versus best supportive care for extensive small cell lung cancer

BACKGROUND

Combination chemotherapy has been the mainstay of treatment for extensive stage small celI lung cancer (SCLC) over the last 30 years, even though it only gives a short prolongation in median survival time. The main goal for these patients should be palliation with the aim of improving their quality of life.

OBJECTIVES

To determine the effectiveness of first-line chemotherapy versus placebo or best supportive care (BSC) in prolonging survival in patients with extensive SCLC at diagnosis and the effectiveness of second-line chemotherapy at relapse or progression after first-line chemotherapy compared with BSC or placebo in prolonging survival in patients with extensive SCLC; as well as to evaluate the adverse events of treatment and the quality of life of patients.

SEARCH METHODS

This is the second update of the review. MEDLINE (1966 to October 2013), EMBASE (1974 to October 2013), and the Cochrane Central Register of Controlled Trials (CENTRAL) (2012, Issue 3) were searched. Experts in the field were contacted.

SELECTION CRITERIA

Phase III randomised controlled trials in which any chemotherapy treatment was compared with  placebo or BSC in patients with extensive SCLC, as first-line or second-line therapy at relapse.

DATA COLLECTION AND ANALYSIS

Two authors independently extracted data and assessed study quality. We resolved disagreements by discussion. Additional information was obtained from one study author.

MAIN RESULTS

Two studies of unclear risk of bias were included for first-line chemotherapy. A total of 88 men under 70 years with good performance status were randomised to receive either supportive care, placebo infusion or ifosfamide. Ifosfamide gave an extra mean survival of 78.5 days compared with supportive care or placebo infusion. Partial tumour response was greater with the active treatment. Toxicity was only seen in the chemotherapy group and quality of life was only assessed at the beginning of treatment. The quality of the evidence for overall survival and adverse effects was very low.Three studies of moderate risk of bias were included for second-line chemotherapy at relapse (one identified in the last search). A total of 932 men and women under 75 years and any performance status were randomised to receive either methotrexate-doxorubicin, topotecan, or picoplatin versus symptomatic treatment or BSC. The methotrexate-doxorubicin treatment gave a median survival of 63 days longer than in the symptomatic-treatment group for patients allocated to receive four cycles of first-line chemotherapy, and 21 days longer for patients allocated to receive eight cycles of first-line chemotherapy.Treatment with topotecan gave a median survival of 84 days longer than in the BSC group (log-rank P = 0.01). The adjusted hazard ratio (HR) for overall survival was 0.61 (95% CI 0.43 to 0.87). Treatment with picoplatin gave a median survival time of six days longer than BSC (HR 0.817, 95% CI 0.65 to 1.03, P = 0.0895). A meta-analysis of topotecan and picoplatin gave a HR of 0.73 (95% CI 0.55 to 0.96, P = 0.03; low-quality evidence).Partial or complete response in the methotrexate-doxorubicin group was 22.3%. Five patients (7%, 95% CI 2.33 to 15.67) showed a partial response with topotecan. No data were provided about tumour response in the picoplatin study. Toxicity was worst in the chemotherapy group (moderate-quality evidence). Quality of life was better in the topotecan group and was not measured in the methotrexate-doxorubicin and picoplatin studies (low-quality evidence).

AUTHORS' CONCLUSIONS

Two small RCTs from the 1970s suggest that first-line chemotherapeutic treatment (based on ifosfamide) may provide a small survival benefit (less than three months) in comparison with supportive care or placebo infusion in patients with advanced SCLC. However platinum-based combination chemotherapy regimens have been shown to increase complete response rates when compared to non-platinum chemotherapy regimens with no significant difference in survival, and so these are currently the standard first-line treatment for patients with SCLC.Second-line chemotherapy at relapse or progression may prolong survival for some weeks in relation to BSC. Nevertheless, the impact of first-line chemotherapy on quality of life, older patients, women and patients with poor prognosis is unknown and the benefits of second-line chemotherapy are also unclear for older people. Globally, the evidence on which these conclusions are based is very scarce and of uncertain or low quality, which calls for well-designed, controlled trials to further evaluate the trade-offs between benefits and risks of different chemotherapeutic schedules in patients with advanced SCLC.

Timing of Failure in Limited Disease (Stage I-III) Small-Cell Lung Cancer Patients Treated with Chemoradiotherapy: A Retrospective Analysis

Aims and background

Follow-up in limited disease (stage I-III) small cell lung cancer could be further optimized by assessment of the temporal and locational distribution of treatment failure after completion of chemoradiotherapy.

Methods and study design

Follow-up was retrospectively analyzed in 125 limited disease (stage I-III) small cell lung cancer patients with initial performance status WHO <3 who had successfully completed chemoradiotherapy. Thoracic irradiation was applied in the concurrent or sequential mode. Time from initial pathological diagnosis and treatment end to local, distant and brain recurrence was documented.

Results

One- and two-year progression-free survival rates were 50% and 27.2% in patients treated with concurrent and 45.2% and 14.2% in those treated with sequential chemoradiotherapy, respectively. Local relapse was documented in 14% patients treated with concurrent and 16% with sequential chemoradiotherapy. The distant failure rate was 43% in both subgroups. Up to the end of the follow-up period, more patients treated with concurrent chemoradiotherapy had developed brain metastases than those treated sequentially (37% vs 20%, P = 0.049). Median time (in days) to local relapse was 376 and 401 from the initial diagnosis, 200 and 309 from the end of chemotherapy, and 316 and 196 from the end of thoracic irradiation; to distant failure was 275 and 298 from the initial diagnosis, 151 and 157 from the end of chemotherapy and 180 and 84 from the end of thoracic irradiation; to brain relapse was 330 and 273 from the initial diagnosis, 123 and 151 from the end of chemotherapy and 213 and 73 from the end of thoracic irradiation in patients treated with concurrent and sequential chemoradiotherapy, respectively. There was no significant difference in the temporal distribution of treatment failure in either subgroup.

Conclusions

In more than half of the patients who developed a distant recurrence, including brain metastases, treatment failure occurred in the first year after the initial diagnosis. Intensified follow-up can be recommended at least in the first year, because no sufficient eradication of the systemic small cell lung cancer with the applied chemoradiotherapy protocol could be achieved.

Dynamic Optimal Strategy for Monitoring Disease Recurrence

Surveillance to detect cancer recurrence is an important part of care for cancer survivors. In this paper we discuss the design of optimal strategies for early detection of disease recurrence based on each patient's distinct biomarker trajectory and periodically updated risk estimated in the setting of a prospective cohort study. We adopt a latent class joint model which considers a longitudinal biomarker process and an event process jointly, to address heterogeneity of patients and disease, to discover distinct biomarker trajectory patterns, to classify patients into different risk groups, and to predict the risk of disease recurrence. The model is used to develop a monitoring strategy that dynamically modifies the monitoring intervals according to patients' current risk derived from periodically updated biomarker measurements and other indicators of disease spread. The optimal biomarker assessment time is derived using a utility function. We develop an algorithm to apply the proposed strategy to monitoring of new patients after initial treatment. We illustrate the models and the derivation of the optimal strategy using simulated data from monitoring prostate cancer recurrence over a 5-year period.

Survival benefits from follow-up of patients with lung cancer: a systematic review and meta-analysis

INTRODUCTION

The burden of lung cancer is high for patients and carers. Care after treatment may have the potential to impact on this. We reviewed the published literature on follow-up strategies intended to improve survival and quality of life.

METHODS

We systematically reviewed studies comparing follow-up regimes in lung cancer. Primary outcomes were overall survival (comparing more intensive versus less intensive follow-up) and survival comparing symptomatic with asymptomatic recurrence. Quality of life was identified as a secondary outcome measure. Hazard ratios (HRs) and 95% confidence intervals from eligible studies were synthesized.

RESULTS

Nine studies that examined the role of more intensive follow-up for patients with lung cancer were included (eight observational studies and one randomized controlled trial). The studies of curative resection included patients with non-small cell lung cancer Stages I to III disease, and studies of palliative treatment follow-up included limited and extensive stage patients with small cell lung cancer. A total of 1669 patients were included in the studies. Follow-up programs were heterogeneous and multifaceted. A nonsignificant trend for intensive follow-up to improve survival was identified, for the curative intent treatment subgroup (HR: 0.83; 95% confidence interval: 0.66-1.05). Asymptomatic recurrence was associated with increased survival, which was statistically significant HR: 0.61 (0.50-0.74) (p < 0.01); quality of life was only assessed in one study.

CONCLUSIONS

This meta-analysis must be interpreted with caution due to the potential for bias in the included studies: observed benefit may be due to systematic differences in outcomes rather than intervention effects. Some benefit was noted from intensive follow-up strategies. More robust data, in the form of randomized controlled trials, are needed to confirm these findings as the review is based primarily on observational studies. Future research should also include patient-centered outcomes to investigate the impact of follow-up regimes on living with lung cancer and psychosocial well-being.

Chemotherapy versus best supportive care for extensive small cell lung cancer

BACKGROUND

Combination chemotherapy has been the mainstay of treatment for extensive stage small celI lung cancer (SCLC) over the last 30 years even though it only gives a short prolongation in median survival time. The main goal for these patients should be palliation with the aim of improving their quality of life.

OBJECTIVES

To evaluate the effectiveness of chemotherapy in extensive SCLC compared with best supportive care (BSC) or placebo treatment.

SEARCH STRATEGY

MEDLINE (1966 to July 2008), EMBASE (1974 to week 31, 2008), and the Cochrane Central Register of Controlled Trials (CENTRAL, Issue 3, 2008). Experts in the field were contacted.

SELECTION CRITERIA

Randomised controlled trials in which any chemotherapy treatment was compared with placebo or BSC in patients with extensive SCLC, as first or second therapy at relapse.

DATA COLLECTION AND ANALYSIS

Two authors independently extracted data and assessed study quality. We resolved disagreements by discussion. Additional information was obtained from one study author.

MAIN RESULTS

Two studies were included for first-line chemotherapy. A total of 65 patients were randomised to receive either placebo or ifosfamide. Ifosfamide gave an extra mean survival of 78.5 days compared with placebo. Partial tumour response was greater with the active treatment. Toxicity was only seen in the chemotherapy group.Two studies were included for second-line chemotherapy at relapse. A total of 531 patients were randomised to receive either methotrexate-doxorubicin or symptomatic treatment, or to receive oral topotecan versus BSC. The methotrexate-doxorubicin treatment gave a median survival of 63 days longer than in the symptomatic treatment group, and 21 days longer for patients allocated to receive four or eight cycles of first-line chemotherapy, respectively.Treatment with topotecan gave a median survival of 84 days longer than in the BSC group (log-rank P = 0.01). The adjusted hazard ratio for overall survival was 0.61 (95% CI, 0.43 to 0.87). Partial or complete response in the methotrexate-doxorubicin group was 22.3%. Five patients (7%, 95% CI, 2.33 to 15.67) showed a partial response with topotecan. Toxicity was worst in the chemotherapy group. Quality of life was better in the topotecan group.

AUTHORS' CONCLUSIONS

Chemotherapeutic treatment prolongs survival in comparison with placebo in patients with advanced SCLC. Nevertheless, the impact of first-line chemotherapy on quality of life and in patients with poor prognosis is unknown. Well-designed, controlled trials are needed to further evaluate the risks and benefits of different chemotherapeutic schedules in patients with advanced SCLC.