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

No detectable impact of short-term treatment delays on lung cancer survival

Timely initiation of treatment is a core principle of oncologic care, especially for aggressive cancers such as lung cancer. However, the real-world impact of short-term delays in treatment initiation on survival outcomes in lung cancer remains unclear. This meta-analysis evaluates the association between treatment delays of 4, 8, and 12 weeks and all-cause mortality in lung cancer patients. A systematic search was conducted in PubMed, Scopus, and Web of Science for studies published between 2000 and 2025. Of 5360 screened records, 15 studies were included, comprising 16 cohorts for overall survival of lung cancer patients. Hazard ratios (HRs) for 4-, 8-, and 12-week treatment delays were estimated using random-effects meta-analyses. Heterogeneity was measured with the I2 statistic, and publication bias was assessed using funnel plots and Egger's test. No significant association was found between treatment delay and survival at any of the time points. Pooled HRs were 1.00 (95% CI, 0.99-1.02) for a 4-week delay, 1.01 (95% CI, 0.99-1.03) for an 8-week delay, and 1.01 (95% CI, 0.98-1.05) for a 12-week delay. Despite high heterogeneity (I2 = 97%), no evidence of publication bias was detected. This meta-analysis found no significant impact of short-term treatment delays (up to 12 weeks) on mortality in lung cancer patients. These findings challenge the assumption that brief delays universally worsen outcomes and underscore the importance of individualized treatment planning and prioritization.

Treatment delays in patients with lung cancer: a retrospective study conducted at the National Cancer Institute of Mexico between 2004 and 2021

IMPORTANCE

Lung cancer management involves navigating a complex pathway from symptom onset to treatment initiation, where delays can compromise outcomes.

OBJECTIVE

To identify the length of treatment intervals among Mexican lung cancer patients, compare treatment intervals to results from other countries, and identify determinants of delays.

DESIGN

Retrospective study collecting patient records and exploring the treatment interval in lung cancer.

SETTING

The study was conducted at Mexico's National Cancer Institute.

PARTICIPANTS

2645 lung cancer patients with a confirmed diagnosis between 2004 and 2021 were included in the analysis.

EXPOSURE

Social determinants of health.

MAIN OUTCOME

Treatment interval (from diagnosis to treatment).

RESULTS

Logistic regression models revealed significant associations between delays and various factors, including marital status, education, region, first symptom at presentation, treatment type, and political period. A comparison with international guidelines highlighted substantial delays in patients diagnosed at the Instituto Nacional de Cancerología and diagnosed externally.

CONCLUSIONS

Targeted interventions should consider patient characteristics to enhance care efficiency. Concerns should be raised about the observed increase in treatment intervals from 2014 and the associated impact on survival rates. There is an urgency for timely interventions, continuous research, and collaborative efforts to optimize care delivery and outcomes for lung cancer patients in Mexico.

Timing of chemotherapy after diagnosis of small cell lung cancer

Systemic chemotherapy is the backbone of therapeutic management in small cell lung cancer (SCLC) and delay of treatment may lead to adverse patient outcomes. This study was conducted to determine the time elapsed between pathological diagnosis and initiation of chemotherapy in SCLC patients and to evaluate its clinical significance. A total of 323 pathologically confirmed SCLC patients were enrolled in the study and analyzed retrospectively. The median value of the patients' time to treatment was used as the cut-off value in distinguishing between early and late chemotherapy. The median (range) of the time interval between the pathological diagnosis and the initiation of chemotherapy was 18 days (1-257). Compared with other clinical variables, only the performance status of patients was significantly associated with the time from diagnosis to initiation of chemotherapy; patients with poor prognostic factors received chemotherapy earlier than other patients (32.9 vs 18.9%, p = 0.004, and 14.5 vs 19 days, p = 0.006). Although patients who received early treatment were found to live less, there was no statistically significant difference in overall survival in patients according to the timing of chemotherapy administration (p = 0.08). In conclusion, there are controversial results about the timing of chemotherapy administration to SCLC patients. More standardized definitions and guides for calculation of the time interval between diagnosis and treatment are needed to better understand the delays in the treatment of patients with clinically rapidly disseminating SCLC.

Factors Associated With Delay in Lung Cancer Diagnosis and Surgery in a Lung Cancer Screening Program

PURPOSE

Delays to biopsy and surgery after lung nodule detection can impact survival from lung cancer. The aim of this study was to identify factors associated with delay in a lung cancer screening (LCS) program.

MATERIALS AND METHODS

We evaluated patients in an LCS program from May 2015 through October 2021 with a malignant lung nodule classified as lung CT screening reporting and data system (Lung-RADS) 4B/4X. A cutoff of more than 30 days between screening computed tomography (CT) and first tissue sampling and a cutoff of more than 60 days between screening CT and surgery were considered delayed. We evaluated the relationship between delays to first tissue sampling and surgery and patient sex, age, race, smoking status, median income by zip code, language, Lung-RADS category, and site of surgery (academic vs community hospital).

RESULTS

A total of 185 lung cancers met the inclusion criteria, of which 150 underwent surgical resection. The median time from LCS CT to first tissue sampling was 42 days, and the median time from CT to surgery was 52 days. 127 (69%) patients experienced a first tissue sampling delay and 60 (40%) had a surgical delay. In multivariable analysis, active smoking status was associated with delay to first tissue sampling (odds ratio: 3.0, CI: 1.4-6.6, P = 0.005). Only performing enhanced diagnostic CT of the chest before surgery was associated with delayed lung cancer surgery (odds ratio: 30, CI: 3.6-252, P = 0.02). There was no statistically significant difference in delays with patients' sex, age, race, language, or Lung-RADS category.

CONCLUSION

Delays to first tissue sampling and surgery in a LCS program were associated with current smoking and performing diagnostic CT before surgery.

The journey of lung cancer patients from symptoms to diagnosis in Greece. A mixed methods approach

The early diagnosis of lung cancer improves the probability of successful treatment. However, patients and physicians face several difficulties that can considerably delay the diagnostic process. A mixed-methods study that would follow the patient's journey throughout the diagnostic process could alleviate these difficulties. This study aimed to (a) track the patients' journey from the onset of symptoms until diagnosis and, (b) explore the patients' perspective of the journey until diagnosis, on the largest island of Greece. A convergent mixed-methods study was conducted with 94 patients with lung cancer. Patients completed a self-report questionnaire and were interviewed about their symptoms and journey through the healthcare system before their diagnosis. Our findings revealed several problems and delays in the diagnostic process. Both quantitative and qualitative data showed that patients did not recognize their symptoms and sought medical advice in time because they overlooked or attributed their symptoms to 'simpler'/'more common' causes. Furthermore, most patients were diagnosed 1-3 months after their first visit to a physician for their symptoms. Qualitative data analysis revealed three broad categories of problems that delayed diagnosis: (1) physician missteps, (2) administrative problems, and (3) the effect of the Covid-19 pandemic. This study found that major issues and delays prolong the diagnostic process for lung cancer. Therefore, optimization of diagnostic processes at each level of healthcare and interspecialty cooperation programs are needed. Furthermore, population-based interventions and patient education can help lung cancer patients be diagnosed early and improve their quality of life and disease outcomes.

Experiences of cancer survivors in Europe: Has anything changed? Can artificial intelligence offer a solution?

Introduction

Cancer is a major global health issue. Despite technological advancements in oncology, challenges remain in many aspects related to cancer management. This study constitutes one part of the user requirement definition of INCISIVE EU H2020 project, which has been designed to explore the full potential of artificial intelligence (AI) based technologies in cancer imaging. The study aimed to explore cancer survivors’ experiences of cancer care in five European countries.

Methods

A qualitative study employing semi-structured interviews was conducted. A purposive sampling strategy was used to recruit participants across the five validation countries of INCISIVE project: Greece, Cyprus, Spain, Italy, and Serbia. Forty cancer survivors were interviewed between November 2020 and March 2021. Data was analysed thematically using the framework approach and coded using NVivo12 software.

Results

The analysis yielded several gaps within the cancer care pathway which reflected on the participants experiences. Five key themes were revealed; (1) perceived challenges during the cancer journey, (2) the importance of accurate and prompt diagnosis, (3) perceived need for improving cancer diagnosis, (4) absence of well-established/designated support services within the pathway and (5) suggestions to improve cancer care pathway.

Conclusion

Cancer survivors experienced significant burdens pertaining to cancer diagnosis and treatment. Our findings underscored some main gaps within the cancer care pathway which contributed to the challenges articulated by the participants including lack of resources and delays in diagnostic and treatment intervals. Additionally, several suggestions were provided by the cancer survivors which could be considered towards the improvement of the current state of care, some of which can be optimised using new technologies involving AI such as the one proposed by INCISIVE.

Análise do Tempo para Início do Tratamento Oncológico no Brasil: Fatores Demográficos e Relacionados à Neoplasia

Introdução: E reservado a todo brasileiro com câncer, pela Lei dos 60 Dias, o direito de começar o tratamento em até dois meses. Todavia, estudos anteriores apontam a dificuldade dos pacientes em fazer valer essa normativa ao esbarrarem em problemáticas macroestruturais dos sistemas de saúde. Objetivo: Avaliar a influência de fatores demográficos e relacionados a neoplasia sobre o tempo para início do tratamento oncológico no Brasil. Método: Estudo seccional, desenvolvido com dados oriundos do PAINEL-Oncologia, uma base publica nacional, alimentada por diversas fontes de informação do Sistema Único de Saúde. Como variáveis de interesse, elegeram-se: a) tempo de tratamento; b) sexo; c) idade; d) diagnostico; e) estadiamento; f) modalidade terapêutica. Então, foi analisado o tempo transcorrido entre o diagnóstico e o início do tratamento oncológico. Resultados: Percebeu-se aumento exponencial, ao longo dos anos, da proporção de casos tratados oportunamente, isto e, em até 60 dias, como regulamenta a Lei. Entretanto, ainda e considerável a prevalência de atrasos no início do tratamento, sobretudo entre indivíduos idosos, do sexo masculino, com canceres em estádios menos avançados e que precisaram de radioterapia como primeira modalidade terapêutica. Além disso, o tempo de espera foi especialmente maior para os canceres de órgãos genitais masculinos, de cabeça e pescoço e de mama. Conclusão: Alguns fatores demográficos e relacionados a neoplasia estão envolvidos no atraso do início da terapia oncológica.

Predictivity of the comorbidity indices for geriatric syndromes

BACKGROUND

The aging population and increasing chronic diseases make a tremendous burden on the health care system. The study evaluated the relationship between comorbidity indices and common geriatric syndromes.

METHODS

A total of 366 patients who were hospitalized in a university geriatric inpatient service were included in the study. Sociodemographic characteristics, laboratory findings, and comprehensive geriatric assessment(CGA) parameters were recorded. Malnutrition, urinary incontinence, frailty, polypharmacy, falls, orthostatic hypotension, depression, and cognitive performance were evaluated. Comorbidities were ranked using the Charlson Comorbidity Index(CCI), Elixhauser Comorbidity Index(ECM), Geriatric Index of Comorbidity(GIC), and Medicine Comorbidity Index(MCI). Because, the CCI is a valid and reliable tool used in different clinical settings and diseases, patients with CCI score higher than four was accepted as multimorbid. Additionally, the relationship between geriatric syndromes and comorbidity indices was assessed with regression analysis.

RESULTS

Patients' mean age was 76.2 ± 7.25 years(67.8% female). The age and sex of multimorbid patients according to the CCI were not different compared to others. The multimorbid group had a higher rate of dementia and polypharmacy among geriatric syndromes. All four indices were associated with frailty and polypharmacy(p < 0.05). CCI and ECM scores were related to dementia, polypharmacy, and frailty. Moreover, CCI was also associated with separately slow walking speed and low muscle strength. On the other hand, unlike CCI, ECM was associated with malnutrition.

CONCLUSIONS

In the study comparing the four comorbidity indices, it is revealed that none of the indices is sufficient to use alone in geriatric practice. New indices should be developed considering the complexity of the geriatric cases and the limitations of the existing indices.

Targeted Therapy for Older Patients with Non-Small Cell Lung Cancer: Systematic Review and Guidelines from the French Society of Geriatric Oncology (SoFOG) and the French-Language Society of Pulmonology (SPLF)/French-Language Oncology Group (GOLF)

Simple Summary

Targeted therapy has become essential in the treatment of non-small cell lung cancer (NSCLC). There are currently no guidelines for older patients who are frailer with regard to this type of treatment. Two learned societies, the French Society of Geriatric Oncology (SoFOG) and the French-language Society of Pulmonology (SPLF)/French-language Oncology Group (GOLF), joined forces to conduct a systematic review of the literature from May 2010 to May 2021 regarding the efficacy, toxicity, and feasibility of targeted therapy in older patients with NSCLC. Guidelines were then drawn up to enable clinicians to adapt the type of targeted therapy proposed according to the oncological and geriatric profile of the older patient with NSCLC.

Abstract

Systematic molecular profiling and targeted therapy (TKI) have changed the face of Non-Small Cell Lung Cancer (NSCLC) treatment. However, there are no specific recommendations to address the prescription of TKI for older patients. A multidisciplinary task force from the French Society of Geriatric Oncology (SoFOG) and the French Society of Pulmonology/Oncology Group (SPLF/GOLF) conducted a systematic review from May 2010 to May 2021. Protocol registered in Prospero under number CRD42021224103. Three key questions were selected for older patients with NSCLC: (1) to whom TKI can be proposed, (2) for whom monotherapy should be favored, and (3) to whom a combination of TKI can be proposed. Among the 534 references isolated, 52 were included for the guidelines. The expert panel analysis concluded: (1) osimertinib 80 mg/day is recommended as a first-line treatment for older patients with the EGFR mutation; (2) full-dose first generation TKI, such as erlotinib or gefitinib, is feasible; (3) ALK and ROS1 rearrangement studies including older patients were too scarce to conclude on any definitive recommendations; and (4) given the actual data, TKI should be prescribed as monotherapy. Malnutrition, functional decline, and the number of comorbidities should be assessed primarily before TKI initiation.

Functional status in older patients with lung cancer: an observational cohort study

PURPOSE

An assessment of the impact of functional status (FS) evaluated using a combination of Activities of Daily Living (ADL) and the short version of the Instrumental Activities of Daily Living (IADL), on 3- and 6- month mortality and on 3-month unplanned hospitalizations in older patients treated for lung cancers.

METHOD AND OBJECTIVES

This observational retrospective study was conducted between September 2015 and January 2019 at Marseille University Hospital (AP-HM). During this period, all consecutive outpatients aged 70 years or older referred for a comprehensive geriatric assessment (CGA) before the initiation of lung cancer treatment were enrolled.

RESULTS

Two hundred twenty-seven patients were analyzed: the median age was 78.7 years and 74.0% were male. Almost half of the patients were metastatic (45.4%). Concerning FS, 41.9% of patients had no ADL-IADL impairment, 30.0% had either IADL or ADL impairment, and both ADL-IADL were impaired for 28.1%. Impaired ADL-IADL was associated with poor nutritional status, depression, mobility, and cognitive disorders. In a logistic regression model, ADL or IADL impairment (aOR = 2.1; 95% CI [1.0-4.2]; p = 0.037) and impaired ADL-IADL (aOR = 2.6; 95% CI [1.2-5.3]; p = 0.012) were independently associated with a higher risk of unplanned hospitalizations within 3 months. In the multivariate Cox model, 6-month mortality risk was independently associated with impaired ADL-IADL (aHR = 2.3; 95% CI [1.3-4.4]; p = 0.008).

CONCLUSION

The combination of ADL and IADL scales to assess FS is a prognostic marker of the mortality risk at 6 months in older patients with lung cancer and should be more largely used by oncologists in treatment decision making.

Prognostic factors and patients' profile in treated stage I and II lung adenocarcinoma: a Hospital's Cancer Registry-based analysis

Background

It is known that survival from lung cancer can differ between countries and even between different regions of the same country. The variability between hospitals, the age and social profile, and the time when this patient was treated, can influence survival, and these factors are intrinsic to each region. Knowing the profile of patients, hospitals, and other factors associated with the treatment of stage I and II lung cancer in a given region is important to understand outcomes and propose improvements that can be replicated in any region of the world that presents the same profile of patients and care structure. This study evaluates survival and possible predictors in all patients with stage I and II lung cancer adenocarcinoma through the Hospital’s Cancer Registry (HCR), responsible for the State of Sao Paulo’s cancer registry, a geographical area with 40 million inhabitants.

Methods

Based on the HCR, an observational study was conducted, including 1,278 patients diagnosed with lung adenocarcinoma at clinical stages (CS) I and II. Sex, age at diagnosis, education, neighbourhood, CS at diagnosis, the time between diagnosis and treatment, 5-year periods in which patients were treated, treatment modality and hospitals where patients were treated were analysed. Cox univariate and multiple regression analyses were used to estimate the hazard ratio (HR).

Results

A total of 1,278 lung cancer patients with clinical lung cancer adenocarcinoma stages I and II were included. About 40.06% of patients did not receive surgery, and only 55.8% started the treatment within 2 months. The majority of the patients were treated in high complexity hospitals, 69%. Five-year overall survival (OS) was 45.6% in CS I and 27.5% in CS II. Patients treated in high complexity centres have lower mortality rates than those treated in Partial Hospital Complexity Centers in Oncology (PHCCO) (adjHR 1.18; 95% CI: 1.00–1.40; P=0.047). Patients diagnosed between 2010–2014 had a protective factor against the risk of death concerning patients diagnosed between 2000–2004.

Conclusions

The 5-year OS has significantly improved as long as the 5-year group analysed. Also, the 5-year OS of the patients treated in high complexity hospitals is higher than those treated in PHCCO.

[D-CBP study: Evaluation of lung cancer management times]

INTRODUCTION

Lung cancer is the leading cause of cancer-related death. Delays may have an impact on patient survival. The objective of this study was to evaluate the diagnostic and therapeutic management times for patients admitted for lung cancer treatment in the Respiratory Department of CHU de Caen Normandie.

MATERIALS AND METHODS

This is a retrospective, single-center and observational study, conducted on all patients treated for lung cancer from June 2017 to January 2018 in our department of pneumology in the Caen Normandie CHU. The main median times were investigated were: Global Time (abnormal imaging-treatment), Diagnosis time (abnormal imaging-diagnosis) and Treatment Time (diagnosis-treatment).

RESULTS

One hundred and twenty-seven (127) patients were included. Median global time was 55.5 days [31,25; 393], median diagnosis time was 22 days [13; 49], and median treatment time was 24.5 days [12,25; 45].

DISCUSSION

Our treatment times are consistent with those previously published. Areas for improvement are being developed in accordance with the 2014-2019 cancer plan, in particularly the creation in our institution of a specific care pathway for patients with lung cancer.

Octogenarians treated for thoracic and lung cancers: Impact of comprehensive geriatric assessment

BACKGROUND

Lung cancer affects older and older old adults and is the leading cause of death by cancer. Comprehensive Geriatric Assessment (CGA) is recommended before and during cancer treatment to guide therapy management in this population.

METHODS

This study was conducted between September 2015 and January 2019 at Marseille University Hospital (AP-HM). During this period, all consecutive outpatients 70 years or older referred for a CGA before initiation of lung cancer treatment were enrolled. The objective of this study was to compare lung and thoracic cancer management of octogenarians (≥80 years) and their geriatric profile versus patients aged 70 to 79 years (<80 years).

FINDINGS

In our study, 228 patients were recruited. The median age was 78.7 ± 5 years. There were 94 octogenarians (41.2%), 36.2% of them were diagnosed with stage IV neoplasm and the most common treatment was chemotherapy (43.6%). The logistic regression analysis highlights that handgrip strength was the most commonly impaired domain (OR 2.3; 95% CI [1.3-4.3]) in octogenarians and that they are more likely than their younger counterparts to be treated by targeted therapy (OR 9.8; 95% CI [1.0-92.9]). Overall survival (OS) was similar in both age groups (log rank = 0,95).

INTERPRETATION

In our study, octogenarians and patients <80 years had equivalent survival, across the different thoracic cancer treatments and tumor stages. Measure of muscle strength in CGA could be very useful in a clinical setting to help improve the management of older old patients treated for lung or thoracic cancer.

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.

Lung cancer patients' journey from first symptom to treatment: Results from a Greek registry

BACKGROUND

To map the patients' journey from symptoms onset to treatment initiation for the most frequent histological types of lung cancer in Greece and describe the initial treatment that patients receive.

METHODS

The primary data source was a Greek hospital-based registry. Demographic, anthropometric, lifestyle, and diagnostic-related characteristics as well as treatment-related data were extracted from the registry for patients diagnosed with Adenocarcinoma, Squamous and Small Cell Lung Cancer (SCLC). The time intervals from symptoms onset to diagnosis (StD), diagnosis to treatment initiation (DtT), symptoms onset to treatment initiation (StT) and surgery to post-surgery treatment (SRGtT) were estimated.

RESULTS

231, 120 and 122 patients were diagnosed with Adenocarcinoma, SCLC and Squamous, respectively. The percentage of patients diagnosed at stage III/IV ranged from 75% in Adenocarcinoma to 97.5% in SCLC (p < 0.001). The median (IQR) StD was 52 (28-104) days and no difference was detected across the three histological types (p = 0.301). Cough as first symptom was the only determinant of StD (p = 0.001). The median (IQR) DtT was 23 (13-36) days, with this time interval being shorter among patients with SCLC compared to patients with Adenocarcinoma and Squamous (p < 0.001). The median (IQR) StT was 81 (51-139) days. Almost one third of patients with Adenocarcinoma and Squamous were subjected first to surgery and the median (IQR) SRGtT was 42 (34-55) days.

CONCLUSIONS

Our results indicate that time interval from symptoms onset to treatment initiation in Greece is substantially prolonged, highlighting the need for strategies to expedite lung cancer diagnosis and access to evidence-based treatment.

[The impact of the patient's age on the delay of the lung cancer treatment]

INTRODUCTION

The results from the medical literature regarding the influence of patient's age on the delay of treatment in lung cancer are controversial in the absence of a consensual definition. The aim of this study was to determine the impact of the patient's age on the delay of the lung cancer treatment.

METHODS

A retrospective monocentric study was performed including patients treated for a lung cancer in our department between November 1, 2014 and October 31, 2015. The delay of treatment was defined by the delay between the first abnormal imaging and the first treatment. The patients were divided into three groups depending on their age: group 1 with≤60 years old, group 2 between 60 and 70 years old, and group 3 with>70 years old. The statistical analysis was realized with Pearson's chi-squared and the Anova tests.

RESULTS

Two-hundred and forty-six patients were included with a mean age at 65±10 years. The mean delay of the treatment was 97±41 days. The mean delay of the treatment in patients with>70 years old was statically longer than the delay of treatment in patients with≤60 years old (116±98 days vs. 76±65 days, P=0.04), secondary to an extended time for the lung cancer surgery (129±75 days vs. 88±54 days, P=0.03).

CONCLUSION

In patients with>70 years old, the delay of treatment is longer than in other groups, secondary to an extended time for the preoperative assessment. An improvement in therapeutic management is necessary in our care system to shorten this delay.

Increased incidence, morbidity and mortality rates for lung cancer in women in Brazil between 2000 and 2014: An analysis of three types of sources of secondary data

INTRODUCTION

Lung cancer is the principal cause of death from cancer worldwide. However, little is known of its epidemiological and histological profile and of the incidence and mortality rates in Brazil according to sex.

OBJECTIVES

To evaluate the incidence, morbidity and mortality rates of lung cancer in Brazil from 2000 to 2014, as well as the epidemiological, clinical and morphological profile of women with lung cancer in Brazil is described.

METHODS

An ecological study was conducted using three reliable sources of secondary data: population-based cancer registries, hospital-based cancer registries and the national mortality database.

RESULTS

The incidence rate in women increased from 7.92/100,000 in 2000 to 9.12/100,000 in 2012, while mortality increased from 6.02/100,000 in 2000 to 8.29/100,000 in 2014. In men, the incidence decreased from 23.40/100,000 in 2000 to 18.47/100,000 in 2012 and mortality also fell from 16.12/100,000 to 15.11/100,000 in 2014. There was a reduction in the male-to-female ratio from 2.54 in 2000 to 1.46 in 2014. Women tended to be younger (p < 0.001), black (p < 0.001), non-smokers (p < 0.001), to have adenocarcinoma or small-cell lung cancer (p < 0.001), and to have metastatic disease (p < 0.001). In addition, the time between diagnosis and the start of cancer treatment was longer in women (p < 0.001). In relation to treatment, women were more likely to have undergone chemotherapy, surgery or surgery in combination with chemotherapy (p < 0.001) and to have response to the initial treatment (p < 0.001).

CONCLUSION

Incidence, morbidity and mortality rates of lung cancer in women of Brazil increased in the most recent years.

Timeliness of access to lung cancer diagnosis and treatment: A scoping literature review

The Institute of Medicine recently called for increased understanding of and commitment to timely care. Lung cancer can be difficult to diagnose, resulting in delays that may adversely affect survival; rapid diagnosis and treatment therefore is critical for enabling improved patient outcomes. This scoping review provides an update on timeliness of lung cancer care over the past decade. We searched PubMed for English-language articles published from 2007 to 2016 that report wait time intervals related to diagnosis and treatment of lung cancer. Two authors independently reviewed titles and abstracts for inclusion. Abstracted data included sample size, patient population, study type, dates of study, wait times, and information on disparities, survival, costs, healthcare utilization, and interventions. The final review included 65 studies from 21 different countries. A total of 96 unique variations of wait intervals were reported (e.g., time to diagnosis from first pulmonologist visit, imaging, or initial evaluation), making comparisons across studies difficult. The most common interval was diagnosis to treatment initiation, with reported medians ranging from 6 to 45 days. Fourteen articles reported information on survival, 14 on healthcare utilization, 18 on disparities, and 14 on interventions; results varied by study. Significant variation exists in how access to care time delays are reported. Many patients across different facilities and countries appear to be facing substantial waits to receive lung cancer diagnosis and care. Further research, using common wait-interval metrics, is needed to evaluate and improve timeliness of lung cancer diagnosis and treatment.

Transfer between hospitals as a predictor of delay in diagnosis and treatment of patients with Non-Small Cell Lung Cancer - a register based cohort-study

Background

Lung cancer is the second most frequent cancer diagnosis in Denmark. Although improved during the last decade, the prognosis of lung cancer is still poor with an overall 5-year survival rate of approximately 12%. Delay in diagnosis and treatment of lung cancer has been suggested as a potential cause of the poor prognosis and as consequence, fast track cancer care pathways were implemented describing maximum acceptable time thresholds from referral to treatment. In Denmark, patients with lung cancer are often transferred between hospitals with diagnostic facilities to hospitals with treatment facilities during the care pathway. We wanted to investigate whether this organizational set-up influenced the time that patients wait for the diagnosis and treatment. Therefore, the objective of this study was to uncover the impact of transfer between hospitals on the delay in the diagnosis and treatment of Non-Small Cell Lung Cancer (NSCLC).

Methods

We performed a historical prospective cohort study using data from the Danish Lung Cancer Registry (DLCR). All patients diagnosed with primary NSCLC from January 1st 2008 to December 31st 2012 were included. Patients with unresolved pathology and incomplete data on the dates of referral, diagnosis and treatment were excluded.

Results

A total of 11 273 patients were included for further analyses. Transfer patients waited longer for treatment after the diagnosis, (Hazard ratio (HR) 0.81 (0.68–0.96)) and in total time from referral to treatment (HR 0.84 (0.77–0.92)), than no-transfer patients. Transfer patients had lower odds of being diagnosed (Odds Ratio (OR) 0.82 (0.74–0.94) and treated (OR 0.66 (0.61–0.72) within the acceptable time thresholds described in the care pathway.

Conclusion

Fast track cancer care pathways were implemented to unify and accelerate the diagnosis and treatment of cancer. We found that the transfer between hospitals during the care pathway might cause delay from diagnosis to treatment as well as in the total time from referral to treatment in patients with Non Small-Cell Lung Cancer. The difference between no-transfer and transfer patients persists after adjusting for known predictors of delay.

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.

Pathways to a lung cancer diagnosis

PURPOSE

The purpose of this qualitative descriptive study was to identify and describe pathways to a lung cancer diagnosis based on narratives of persons diagnosed with the disease.

DATA SOURCES

Eleven adults with lung cancer were recruited from an academic thoracic oncology clinic in a large city in the southeastern United States. Moderately structured interviews were conducted by an experienced nurse practitioner (NP) to obtain information regarding the participants' experiences leading to their diagnosis. Qualitative content analysis was used to develop a typology of pathways.

CONCLUSIONS

Findings revealed four distinct pathways: missing opportunities, waiting and seeing, being alarmed, and being blindsided.

IMPLICATIONS FOR PRACTICE

The Pathways to a Lung Cancer Diagnosis Typology has important implications for clinical practice and can be used to inform NPs and other healthcare providers who provide care for patients at risk for or diagnosed with lung cancer.

Delays for diagnosis and treatment of lung cancers: a systematic review

BACKGROUND AND AIMS

The impact of diagnosis and treatment delays for non-small cell lung cancer management is poorly understood, even if the literature on the subject is currently increasing in importance. We have few indicators that can serve as reference for quality assurance actions. The objective of this review was to review the literature on the subject.

METHODS

A literature search, using the words 'human lung cancer delay' and 'human lung cancer waiting time', was undertaken in Medline database.

RESULTS

Several studies analyzed these delays mostly in a monocentric setting. There is an important variability in the definition of these delays, in the collection methods and in the results obtained. However, it seems distinctly clear that long delays are frequently observed in less symptomatic patients and, therefore, are accompanied by better prognosis.

CONCLUSION

More standardized definitions and procedures to calculate time intervals between cancer diagnosis and treatment should be implemented to better understand the delays of lung cancer management.

Management of elderly patients with NSCLC; updated expert's opinion paper: EORTC Elderly Task Force, Lung Cancer Group and International Society for Geriatric Oncology

Non-small-cell lung cancer (NSCLC) is a very common disease in the elderly population and its incidence in this particular population is expected to increase further, because of the ageing of the Western population. Despite this, limited data are available for the treatment of these patients and, therefore, the development of evidence-based treatment recommendations is challenging. In 2010, European Organization for Research and Treatment of Cancer (EORTC) took an initiative in collaboration with International Society of Geriatric Oncology (SIOG) and created an experts panel that provided an experts' opinion consensus paper for the management of elderly NSCLC patients. Since this publication, important new data are available and EORTC and SIOG recommended to update the 2010 recommendations. Besides recommendations for surgery, adjuvant chemotherapy and radiotherapy, treatment of locally advanced and metastatic disease, recommendations were expanded, to include data on patient preferences and geriatric assessment.

Variation in promptness of presentation among 10,297 patients subsequently diagnosed with one of 18 cancers: evidence from a National Audit of Cancer Diagnosis in Primary Care

Cancer awareness public campaigns aim to shorten the interval between symptom onset and presentation to a doctor (the ‘patient interval’). Appreciating variation in promptness of presentation can help to better target awareness campaigns. We explored variation in patient intervals recorded in consultations with general practitioners among 10,297 English patients subsequently diagnosed with one of 18 cancers (bladder, brain, breast, colorectal, endometrial, leukaemia, lung, lymphoma, melanoma, multiple myeloma, oesophageal, oro-pharyngeal, ovarian, pancreatic, prostate, renal, stomach, and unknown primary) using data from of the National Audit of Cancer Diagnosis in Primary Care (2009–2010). Proportions of patients with ‘prompt’/‘non-prompt’ presentation (0–14 or 15+ days from symptom onset, respectively) were described and respective odds ratios were calculated by multivariable logistic regression. The overall median recorded patient interval was 10 days (IQR 0–38). Of all patients, 56% presented promptly. Prompt presentation was more frequent among older or housebound patients (p < 0.001). Prompt presentation was most frequent for bladder and renal cancer (74% and 70%, respectively); and least frequent for oro-pharyngeal and oesophageal cancer (34% and 39%, respectively, p <.001). Using lung cancer as reference, the adjusted odds ratios of non-prompt presentation were 2.26 (95% confidence interval 1.57–3.25) and 0.42 (0.34–0.52) for oro-pharyngeal and bladder cancer, respectively. Sensitivity analyses produced similar findings. Routinely recorded patient interval data reveal considerable variation in the promptness of presentation. These findings can help to prioritise public awareness initiatives and research focusing on symptoms of cancers associated with greater risk of non-prompt presentation, such as oro-pharyngeal and oesophageal cancer.

Earlier onset and poor prognosis of lung cancer in imprisoned patients

INTRODUCTION

Prison inmates are known to be more exposed to various lung cancer risk factors, and some studies have shown that lung cancer is the most common cancer in prisoners. However, no study has particularly focused on lung cancer features in this population.

METHOD

Charts of patients with lung cancer hospitalized in one of the French secured hospital units between 1997 and 2012 were reviewed. Data from this cohort were then compared to those of two large observational studies conducted in 2000 and 2010 (KBP studies).

RESULTS

Thirty-two cases were included. All were men. The mean age was 52.2 ± 11.5 years, which was significantly lower than in the KBP-2000 (64.4 years) and KBP-2010 (65.5 years; both p < 0.0001) studies. The percentage of current smokers was much higher in prisoners (87.1 vs. 52.2 and 49.2%, respectively; both p < 0.001). Ninety percent of prisoners presented with at least one comorbidity. Lung cancer clinical presentation did not differ between prisoners and the reference populations. The median overall survival was 5.8 months (range 0-15.1) for all stages and 4.7 months (range 2.8-6.6) for stage IIIB/IV.

CONCLUSION

Although our study suffers from limitations, prisoners seem to develop lung cancer at a younger age and their prognosis is poor.