Impact Factor 6.244 | CiteScore 3.9
More on impact ›


Front. Oncol., 07 March 2014 |

Would screening for lung cancer benefit 75- to 84-year-old residents of the United States?

imageJohn M. Varlotto1*, imageMalcolm M. DeCamp2, imageJohn C. Flickinger3, imageJessica Lake4, imageAbram Recht5, imageChandra P. Belani4,6, imageMichael F. Reed4,7, imageJennifer W. Toth4,8, imageHeath B. Mackley4,6, imageChristopher N. Sciamanna9, imageAlan Lipton4,6, imageSuhail M. Ali4,6, imageRichkesvar P. M. Mahraj10, imageChristopher R. Gilbert4,8 and imageNengliang Yao11
  • 1Department of Radiation Oncology, University of Massachusetts Medical Center, Worcester, MA, USA
  • 2Division of Thoracic Surgery, Department of Surgery, Northwestern Memorial Hospital, Chicago, IL, USA
  • 3Department of Radiation Oncology, Pittsburgh Cancer Institute, Pittsburgh, PA, USA
  • 4Pennsylvania State University College of Medicine, Hershey, PA, USA
  • 5Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA
  • 6Penn State Hershey Cancer Institute, Hershey, PA, USA
  • 7Heart and Vascular Institute, Penn State Hershey Medical Center, Hershey, PA, USA
  • 8Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Penn State Hershey Medical Center, Hershey, PA, USA
  • 9Department of Medicine, Penn State College of Medicine, Hershey, PA, USA
  • 10Department of Radiology, Penn State College of Medicine, Hershey, PA, USA
  • 11Department of Healthcare Policy and Research, Virginia Commonwealth University College of Medicine, Richmond, VA, USA

Background: The National Lung Screening Trial demonstrated that screening for lung cancer improved overall survival (OS) and reduced lung cancer mortality in the 55- to 74-year-old age group by increasing the proportion of cancers detected at an early stage. Because of the increasing life expectancy of the American population, we investigated whether screening for lung cancer might benefit men and women aged 75–84 years.

Materials/Methods: Rates of non-small cell lung cancer (NSCLC) from 2000 to 2009 were calculated in both younger and older age groups using the surveillance epidemiology and end reporting database. OS and lung cancer-specific survival (LCSS) in patients with Stage I NSCLC diagnosed from 2004 to 2009 were analyzed to determine the effects of age and treatment.

Results: The per capita incidence of NSCLC decreased in the 55–74 cohort, but increased in the 75–84 cohort over the study period. Crude lung cancer death rates in the two age groups who had no specific treatment were 39.5 and 44.9%, respectively. These rates fell in both age groups when increasingly aggressive treatment was used. Rates of OS and LCSS improved significantly with increasingly aggressive treatment in the 75–84 age group. The survival benefits of increasingly aggressive treatment in 75- to 84-year-old females did not differ from their counterparts in the younger cohort.

Conclusion: Screening for lung cancer might be of benefit to individuals at increased risk of lung cancer in the 75–84 age group. The survival benefits of aggressive therapy are similar in females between 55–74 and 75–84 years old.


The results of the National Lung Screening Trial (NLST) were reported in 2011 (1). This study randomized 53,454 patients who had at least a 30-pack-year history of smoking, did not have a previous history of lung cancer, and were between ages 55 and 74 years old to receive three annual low-dose computerized tomograms (CT) or a single posteroanterior chest X-ray. Patients in the CT arm had a 20% relative reduction in lung cancer-specific mortality and a 6.7% reduction in the risk of death from any cause. These reductions appear due to finding cancers at a much earlier, more curable stage than otherwise expected (1, 2). However, this trial did not include individuals aged 75 years or older (defined as “elderly”), yet more than half of all lung cancers in North Americans occur in patients aged over 70 years (3, 4). The elderly population in the United States is increasing rapidly. Life expectancy has increased over time in all races, and the burden of lung cancer remains substantial in the elderly (5). Women aged 75 years have an average life expectancy of 12.9 years, and men have an average of 11.0 years (6).

We therefore chose to investigate whether screening might be beneficial in the elderly population (75–84 years old) by determining the outcome for patients with Stage I non-small cell lung cancer (NSCLC) in this age cohort and comparing it to that of patients 55–74 years old. Our findings suggest that individuals in both age cohorts have similar outcomes when treated in the same fashion, and therefore screening may be of benefit to elderly individuals at increased risk of lung cancer who are fit enough to undergo treatment.

Data and Methods

Data Source

Data for this study were taken from the surveillance epidemiology and end results (SEER) program of the National Cancer Institute (NCI), which started to collect and publish cancer incidence and survival data from population-based cancer registries in 1973. The “SEER-9” registries are Atlanta, Connecticut, Detroit, Hawaii, Iowa, New Mexico, San Francisco-Oakland, Seattle-Puget Sound, and Utah. Data are available for cases diagnosed from 1973 and later for most of these registries. The “SEER-18” data-base used in this study includes the above registries and those in Los Angeles, San Jose-Monterey, Rural Georgia, Greater California, Kentucky, Louisiana, New Jersey, Greater Georgia, and the Alaska Native Tumor Registry (7). Data are available from all cases diagnosed from 2000 and later for these registries. The SEER-18 sites cover approximately 28% of the American population (8).

Cohort Selection

Since small cell lung cancer rarely presents at an early stage even when screening is employed (1–2.2%) (9), we excluded patients with this histology from our study. We included adults aged 55–84 years who were diagnosed with NSCLC in the SEER-18 data-base during 2004–2009. A total of 191,868 patients aged 55–74 years and 94,828 patients aged 75–84 years met the eligibility criteria. Since the data from the SEER registry are de-identified, no IRB approval was requested.

Outcome was examined for the 14,007 patients with NSCLC diagnosed during the years 2004–2009 for whom sufficient information was collected to assess the outcome of treatment in relation to patient and histopathologic variables. Patients included in this investigation had NSCLC as their first primary cancer, tumor size 4 cm or smaller, clinical T1-2N0 disease, extension codes 100, 110, or 300, and only one type of local treatment (e.g., patients receiving both radiation and surgery were excluded).

Outcome Variables and Other Covariates

The outcome variables were overall survival (OS) and lung cancer-specific survival (LCSS). Deaths from other causes were treated as censoring events. The exploratory variable of main interest was the type of treatment that patients received. Treatments were categorized as: observation only; radiation only; subtotal resection (sub-lobar resection; segmental resection, including lingulectomy; or wedge resection); and lobectomy or greater (lobectomy or bi-lobectomy, with or without extension to include the chest wall; lobectomy with mediastinal node dissection; extended lobectomy or bi-lobectomy, not otherwise specified; pneumonectomy with mediastinal node dissection; or pneumonectomy, not otherwise specified).

Other variables (in addition to age cohort) examined for their potential effect on outcome were: gender; year of diagnosis; marital status; race; Hispanic origin; tumor size; histology; grade; location; and extension. Median follow-up time was 26 and 21 months in the 55- to 74- and 75- to 84-year-old age groups, respectively.

Statistical Analysis

The incidence rates of NSCLC per 100,000 individuals in the SEER-18 population were calculated via SEERSTAT. T-tests were performed to analyze if there was significant difference in incidence rates by age group. Trend analyses were used to determine if incidence rates exhibit an increasing or decreasing trend over time. Chow tests were used to determine whether the slopes in two linear trend lines of incidence rates were equal by age group (10).

Chi-square and t-test were used to compare difference between the two age cohorts with respect to treatment, patient characteristics, and tumor characteristics. OS and LCSS were calculated using Kaplan–Meier estimation (11). The statistical significance of differences between these rates was calculated using the log-rank test. Cox proportional hazards model estimates (12) were used to show how treatment and other covariates were related to outcome. The older cohort was divided into two age groups in the multivariate analyses (aged 75–79 and 80–84 years). The hazards ratio (HR) for treatments and their corresponding p-values were estimated from the regression coefficient, and the standard error from the proportional hazards models.

To better understand the relationship of treatment and survival between the age cohorts, we included an interaction effect between treatment and age group in proportional hazards models. All multivariate analyses were conducted using SAS software version 9.2, and all statistical tests assumed a two-tailed α = 0.05.


The annual incidence rates per 100,000 persons for NSCLC were significantly higher in the 75–84-year-old age group than in the younger age group (Figure 1). Of note, the annual incidence rates increased over time for the older female age cohort (p = 0.0017) while staying stable for older males and younger females and decreasing for younger males (p = 0.0065). The Chow tests revealed significant difference in the slopes of trend lines (p = 0.0017), especially for women (p = 0.0011). The proportion of NSCLC cases fell in the 55–74 group and increased in the 75–84 group during the study period for all stages as well as Stage I tumors ≤4 cm (data not shown).


Figure 1. Incidence and proportions of non-small cell lung cancer, 2000–2009 in both genders, females and males.

Characteristics of the 14,007 patients who met our study’s eligibility criteria for outcome analysis (9,588 in the younger and 4,419 in the older cohorts) are listed in Table 1. The study cohort was evenly distributed during 2004–2009, and the yearly distributions were not significantly different in the two age groups. The proportion of widowed patients in the younger group was substantially lower than in the older group (13.7 vs. 33.5%; p < 0.0001); 54.1% of patients in the younger group were female, which was lower than the older group (56.7%, p = 0.0049); and 85.7% of patients in the younger group were white, lower than in the older group (89.4%, p < 0.0001). Approximately 96% of patients were non-Hispanic, and the distributions of Hispanic ethnicity were not significantly different in the two age groups. There were fewer squamous cell carcinoma patients in the younger group than in the older group (28.8 vs. 33.1%, p < 0.0001); and 54.1% of the tumors in the younger group were well-differentiated or moderately differentiated, higher than among patients in the older group (50.7%, p < 0.0001). Approximately 28% of patients had cancer diagnosed in the left upper lobe, and the distributions of location were not significantly different in the two age groups. The average tumor size was 1.4 mm smaller in the younger group than the older group (19.1 vs. 20.5 mm, p < 0.0001). As expected, younger patients were more likely to be treated with lobectomy or pneumonectomy (67.3 vs. 50.5%, p < 0.0001).


Table 1. Patient characteristics by age groups (N = 14,007).

Table 2 and Figure 2 show the proportion of NSCLC patients who died (crude death rates) from lung cancer by treatment and age group during 2004–2009. Lung cancer was the most common cause of death in all treatment groups in the younger age cohort. Lung cancer was also the most common cause of death in all treatment groups in the older cohort. Crude death rates from lung cancer decreased in both age cohorts as the aggressiveness of treatment increased.


Table 2. Top three causes of death and 5-year overall survival rates in patients with stage I non-small cell lung cancer, 2004–2009.


Figure 2. Cause of death from lung cancer (crude) by treatment and age group (%): 2004–2009.

Table 2 also shows that the 5-year OS rates improved significantly with increasingly aggressive treatment in both the 55–75 and 75–84-year age groups. The survival curves in Figure 3 again revel that OS improved significantly with increasingly aggressive treatment in the 75–84 group among both genders. The survival curves in the older group for each treatment appear to be similar to those for the younger group.


Figure 3. Overall survival curves for patients by age groups.

Adjusted risks of death were determined using standard multivariate Cox proportional hazards models, including year of diagnosis, marital status, race, Hispanic ethnicity, tumor size, tumor grade, tumor location, histology, tumor extension, and treatment covariates. Table 3 displays the predictors of OS and LCSS from the hazards models in males and females in three age groups (the elderly group was split into 75- to 79- and 80- to 84-year age groups). Similar to the younger cohort, the risk of death due to any cause in the 75–79 and 80–84-year age group was significantly higher in patients treated with subtotal resection, radiation, or observation than for patients treated with lobectomy or greater.


Table 3. Adjusted hazards ratios for survival among the elderly age group: comparison between treatments.

Multivariate analysis included an interaction effect between treatment and age group showed that there are gender differences in how aggressive treatment affects outcome for patients in different age cohorts (Table 4). For female patients, the survival benefits of aggressive therapy are similar between 55–74 and 75–84 year-old age groups. In contrast, the survival benefits of aggressive therapy are different between the 55–74 group and the 75–84 group in male patients.


Table 4. Wald tests of the interaction effect between age group and treatment in Cox proportional hazards model.

Causes of mortality and death rates within 90 days of treatment are listed in Table 5. The mortality rates within the observation arms exceeded those of the active treatment arms for both age group categories.


Table 5. Mortality rates and causes of mortality within 90 days of treatment.


After the NLST trial report appeared, an expert panel composed of members of the National Comprehensive Cancer Network (NCCN), American College of Chest Physicians, American Society of Clinical Oncology, and American Cancer Society reviewed the literature and endorsed screening in patients aged 55- to 74-years who have a 30-pack-year history of smoking who continue to smoke or quit smoking within the past 15 years (13). However, the American Association for Thoracic Surgery recommended screening for smokers and former smokers with a 30-pack-year history of smoking and long-term lung cancer survivors aged 55–79 years (4). The NCCN has recommended screening according to risk criteria starting at the age of 50, but did not recommend an upper age limit (14). Elderly patients were not included in four prospective, randomized trials investigating the role of low-dose CT screening (1518). Although three trials included patients older than the NLST [maximum age 75, 76, and 80 years, respectively (1921)], all are much smaller and have not reported an effect of CT screening on LCSS and OS. This is unfortunate, since the elderly make up a rapidly increasing part of the population of the United States and other industrialized countries, and their incidence rate of lung cancer is higher than for younger age groups.

The role of aggressive treatment for lung cancer in elderly patients has been controversial. Clearly some patients who might be eligible for a screening program based on smoking history will not receive either radiation or surgery because of refusal or co-morbidities. Additionally, smoking-related co-morbidities and quality of life worsen in the elderly smoking population as compared to younger patients (22). However, in our investigation, lung cancer remains the most common cause of death for patients in this age group who develop this diagnosis, and aggressive treatment seemed to benefit those who underwent it (particularly for women). Moreover, lung cancer deaths remain the most common cause of death despite the inclusion of only Stage I tumors and without the exclusion of patients with multiple co-morbidities. Additionally, despite the broad spectrum of treating physicians in SEER, the 90-day mortality remained low (<6%) in all active treatment arms, suggesting appropriate candidate selection. Because the majority of patients receive a definitive surgical procedure in the younger and older populations (84.2 and 69.0%, respectively), we assume that like past studies (23, 24), those patients not selected for surgery most likely were medically inoperable. It should be emphasized that even in this unselected population, the majority of the elderly population with Stage I NSCLC were able to receive surgery, the standard of care, with relatively low rates of mortality (30- and 31- to 90-day mortalities were 2.1 and 3.5% in the lobectomy group and 1.8 and 3.5% in the sub-lobar resection group) during the post-operative time period.

As a society, we must be concerned with the costs of screening as well as the radiation exposure in the patients undergoing screening. Nevertheless, low-dose CT screening could also be used to detect other smoking-related ailments such as coronary artery disease, chronic pulmonary disease, and osteoporosis (25) as well as other smoking-related cancers (26). Furthermore, because radiographic signs associated with COPD (pulmonary artery enlargement and percentage of lung with a density of ≤−950 Hounsfield units) (27, 28) are associated with acute COPD and changes in FEV1, such changes could be used for evaluation and treatment.

There are many limitations to the SEER database. It does not include information concerning co-morbidities, past or present cigarette use, type of radiotherapeutic treatment [stereotactic body radiation therapy (SBRT) or conventional external beam], family history of cancer, medications, chemotherapeutic treatments, occupational exposures, symptoms of lung cancer, and recent weight loss. Additionally, our patient population is predominantly Caucasian, therefore, our results may not pertain to other racial groups. Nonetheless, we feel that the findings from our study are provocative.

The success of any screening program depends upon the ability to find early-stage disease and whether treatment of early-stage disease is beneficial. Because lung cancer survival depends greatly upon initial tumor stage (29) and only small improvements in survival have been seen in the last several decades in advanced disease (30), we feel that our study may help identify a population who were not identified in the initial screening studies and who may benefit from lung cancer screening. Although, screening may result in unnecessary treatment for breast and prostate cancers, our results show that even in Stage I tumors (4 cm or less in size) almost 40% of patients in both the younger and older groups will succumb to lung cancer if they do not receive radiation or surgery. Additionally, despite the expected increase in smoking-related co-morbidities with age (22), the majority of the elderly population received surgical treatment and had an increase in survival as the treatment became increasingly aggressive similar to the younger patient group who would be eligible for screening. Furthermore, lung cancer is the most frequent cause of cancer death in both genders (31).

It should be noted that our results demonstrate an increasing incidence of lung cancer, and beneficial effects from aggressive treatment in the 75- to 84-year-old age group, but they do not suggest a screening population per se. Like the NLST, we eliminated all patients with previous lung cancer and information concerning co-morbidities was not available. Additionally, co-morbidity data within large administrative databases depend upon the accuracy of coding which has been noted to be subject to much variability and underreporting in the past (3234). However, differently than the NLST, smoking history was not known. Therefore we could not limit our analysis to patients with a 30-pack-year history of smoking. Nevertheless, because greater than 85% of lung cancers in the US are caused by cigarette smoking (35), the majority of patients in our study were most likely current or past cigarette smokers. Furthermore, even within the NLST, it appears the further refinement of eligible patients would result in a more optimal selection of candidates for screening. Sixty percent of patients at highest risk for lung cancer death in 5 years accounted for 88% of screening-prevented lung cancer deaths. These authors noted similar results when assessing the benefits of screening according to lung cancer incidence and that both the estimate of lung cancer death and incidence increased with age (36). Therefore, we feel that prospective studies are needed to assess the most beneficial populations to screen for lung cancer, but we do not feel that patients should be discriminated against screening based upon age alone.

We feel that the beneficial effects of treatment may have been underestimated in our patient population. SEER-18 represents approximately 28% of the US population regardless of physician expertise or hospital volume. Because lung cancer surgery depends greatly upon both hospital (37) and physician volume (38), the surgical outcomes may not be optimized. Additionally, SBRT has higher control rates than conventional radiotherapy and may offer an improvement in survival and control rates similar to surgical resection (24, 39). However, as of 2007, only 1.1% of the patients with Stage I NSCLC in the Medicare-SEER population received SBRT as compared to 14.8% who received conventional radiotherapy (40). Therefore, the full beneficial effects of radiotherapy are probably under appreciated in our investigation. Moreover, SBRT can be easily administered to patients with multiple co-morbidities and may result in fewer patients being observed (39).


Because the rates of lung cancer are rising in the elderly and because increasingly aggressive treatment is beneficial in these patients, screening the 75- to 84-year-old age groups may be beneficial. Furthermore, it should be noted that most of this unselected, elderly population was able to undergo a definitive surgical resection. As recently shown in patients who were eligible for the NLST, even in the 55- to 74-year-old age group, further refinement of the at-risk patient populations is needed to find who would benefit most from screening (33). We feel that patients 75 and older should not be discriminated against lung cancer screening based upon age alone.

Author Contributions

Data acquisition: Nengliang Yao, John M. Varlotto; Data analysis: John M. Varlotto, Jessica Lake, John C. Flickinger, Nengliang Yao; Manuscript writing: Abram Recht, John M. Varlotto, Nengliang Yao; Final approval: Abram Recht, John M. Varlotto, Nengliang Yao, Malcolm M. DeCamp, John C. Flickinger, Jessica Lake, Chandra P. Belani, Michael F. Reed, Jennifer W. Toth, Heath B. Mackley, Christopher N. Sciamanna, Alan Lipton, Suhail M. Ali, Christopher R. Gilbert, and Richkesvar P. M. Mahraj. Guarantor of the entire manuscript: John M. Varlotto.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


1. National Lung Screening Trial Research Team, Aberle DR, Adams AM, Berg CD, et al. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med (2011) 365(5):395–409. doi:10.1056/NEJMoa1102873

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

2. International Early Lung Cancer Action Program Investigators, Henschke CI, Yankelevitz DF, Libby DM, Pasmantier MW, Smith JP, et al. Survival of patients with stage I lung cancer detected on CT screening. N Engl J Med (2006) 355(17):1763–71. doi:10.1056/NEJMoa060476

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

3. Canadian Partnership Against Cancer. System Performance Report 2010. Toronto: Canadian Partnership Against Cancer (2010).

4. Jacobson FL, Austin JHM, Field JK, Jett JR, Keshavjee S, MacMahon H, et al. Development of the American Association for Thoracic Surgery guidelines for low-dose computed tomographic scans to screen for lung cancer in North America: recommendations of the American Association for Thoracic Surgery Task Force for lung cancer screening and surveillance. J Thorac Cardiovasc Surg (2012) 144(1):25–32. doi:10.1016/j.jtcvs.2012.05.059

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

5. Minimo AM, Murphy SL. Death in the United States, 2010. NCHS Data Brief (2012) 99:1–7.

6. National Center for Health Statistics. Health, United States, 2011: With Special Feature on Socioeconomic Status and Health. Hyattsville, MD: National Center for Health Statistics (2012).

7. Surveillance, Epidemiology, and End Results (SEER) Program. SEER Public-use Data (1973–2009). Bethesda, MD: National Cancer Institute, DCCPS, Surveillance Research Statistics Branch (2012). Available from:

8. Surveillance, Epidemiology, and End Results (SEER) Program. SEER Public-use Data (1973–2009). Bethesda, MD: National Cancer Institute, DCCPS, Surveillance Research Statistics Branch (2012). Available from:

9. Varlotto JM, Recht A, Flickinger JC, Medford-Davis LN, Dyer AM, DeCamp MM. Lobectomy leads to optimal survival in early-stage small cell lung cancer: a retrospective analysis. J Thorac Cardiovasc Surg (2011) 142(3):538–46. doi:10.1016/j.jtcvs.2010.11.062

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

10. Chow GC. Tests of equality between sets of coefficients in two linear regressions. Econometrica (1960) 28:591–605. doi:10.2307/1910133

CrossRef Full Text

11. Kaplan ES, Meier P. Non-parametric estimation from incomplete observation. J Am Stat Assoc (1958) 53:475–80. doi:10.1080/01621459.1958.10501452

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

12. Cox DR. Regression models and life tables. J R Stat Soc (1972) 34:187–220.

13. Bach PB, Mirkin JN, Oliver TK, Azzoli CG, Berry DA, Brawley OW, et al. Benefits and harms of CT screening for lung cancer: a systemic review. JAMA (2012) 308:1324–35. doi:10.1001/jama.2012.5521

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

14. National Comprehensive Cancer Network. Fort Washington, PA (2012). Available from:

15. Saghir Z, Dirksen A, Ashraf H, Bach KS, Brodersen J, Clementsen PF, et al. CT screening for lung cancer brings forward early disease: the randomised Danish Lung Cancer Screening Trial: status after five annual screening rounds with low-dose CT. Thorax (2012) 67(4):296–301. doi:10.1136/thoraxjnl-2011-200736

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

16. Lopes Pegna A, Picozzi G, Mascalchi M, Maria Carozzi F, Carrozzi L, Comin C, et al. Design, recruitment and baseline results of the ITALUNG trial for lung cancer screening with low-dose CT. Lung Cancer (2009) 64(1):34–40. doi:10.1016/j.lungcan.2008.07.003

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

17. Infante M, Cavuto S, Lutman FR, Brambilla G, Chiesa G, Ceresoli G, et al. A randomized study of lung cancer screening with spiral computed tomography: three-year results from the DANTE trial. Am J Respir Crit Care Med (2009) 180(5):445–53. doi:10.1164/rccm.200901-0076OC

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

18. Gohagan JK, Marcus PM, Fagerstrom RM, Pinsky PF, Kramer BS, Prorok PC, et al. Final results of the Lung Screening Study, a randomized feasibility study of spiral CT versus chest X-ray screening for lung cancer. Lung Cancer (2005) 47(1):9–15. doi:10.1016/j.lungcan.2004.06.007

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

19. van Klaveren RJ, Oudkerk M, Prokop M, Scholten ET, Nackaerts K, Vernhout R, et al. Management of lung nodules detected by volume CT scanning. N Engl J Med (2009) 361(23):2221–9. doi:10.1056/NEJMoa0906085

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

20. Blanchon T, Bréchot JM, Grenier PA, Ferretti GR, Lemarié E, Milleron B, et al. Baseline results of the Dépiscan study: a French randomized pilot trial of lung cancer screening comparing low dose CT scan (LDCT) and chest X-ray (CXR). Lung Cancer (2007) 58(1):50–8. doi:10.1016/j.lungcan.2007.05.009

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

21. Garg K, Keith RL, Byers T, Kelly K, Kerzner AL, Lynch DA, et al. Randomized controlled trial with low-dose spiral CT for lung cancer screening: feasibility study and preliminary results. Radiology (2002) 225(2):506–10. doi:10.1148/radiol.2252011851

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

22. Kalucka S. Social aspects of tobacco addiction and the quality of life of people smoking and non-smoking tobacco. Przegl Lek (2012) 69(10):908–13.

Pubmed Abstract | Pubmed Full Text

23. McGarry RC, Song G, des Rosiers P. Observation-only management of early stage, medically inoperable lung cancer: poor outcome. Chest (2002) 121:1155–8. doi:10.1378/chest.121.4.1155

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

24. Varlotto J, Fakiris A, Flickinger J, Medford-Davis L, Liss A, Shelkey J, et al. Matched-pair and propensity score comparisons of outcomes of patients with clinical stage I non-small cell lung cancer treated with resection or stereotactic radiosurgery. Cancer (2013) 119(15):2683–91. doi:10.1002/cncr.28100

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

25. Mets OM, de Jong PA, Prokop M. Computed tomographic screening for lung cancer: an opportunity to evaluate other diseases. JAMA (2012) 308:1433–4. doi:10.1001/jama.2012.12656

CrossRef Full Text

27. Wells JM, Washko GR, Han MK, Abbas N, Nath H, Mamary AJ, et al. Pulmonary arterial enlargement and acute exacerbations of COPD. New Engl J Med (2012) 367:913–21. doi:10.1056/NEJMoa1203830

CrossRef Full Text

28. Vestbo J, Edwards LD, Scanlon PD, Yates JC, Agusti A, Bakke P, et al. Changes in forced expiratory volume in 1 second over time in COPD. N Engl J Med (2011) 365(13):1184–92. doi:10.1056/NEJMoa1105482

CrossRef Full Text

29. Chansky K, Sculier JP, Crowley JJ. The International Association for the Study of Lung Cancer Staging Project: prognostic factors and pathologic TNM stage in surgically managed non-small cell lung cancer. J Thorac Oncol (2009) 4(7):792–801. doi:10.1097/JTO.0b013e3181a7716e

CrossRef Full Text

30. NSCLC Meta-Analyses Collaborative Group. Chemotherapy in addition to supportive care improves survival in advanced non-small-cell lung cancer: a systematic review and meta-analysis of individual patient data from 16 randomized controlled trials. J Clin Oncol (2008) 26(28):4617–25. doi:10.1200/JCO.2008.17.7162

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

31. Kohler BA, Ward E, McCarthy BJ, Schymura MJ, Ries LA, Eheman C, et al. Annual report to the nation on the status of cancer, 1975–2007, featuring tumors of the brain and other nervous system. J Natl Cancer Inst (2011) 103:714–36. doi:10.1093/jnci/djr077

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

32. Green J, Winfeld N. How accurate are hospital discharge data for evaluating effectiveness of care? Med Care (1993) 31(8):719–31. doi:10.1097/00005650-199308000-00005

CrossRef Full Text

33. Glance LG, Osler TM, Mukamel DB, Dick AW. Impact of the present-on-admission indicator on hospital quality measurement: experience with the Agency for Healthcare Research and Quality (AHRQ) Inpatient Quality Indicators. Med Care (2008) 46(2):112–9. doi:10.1097/MLR.0b013e318158aed6

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

34. Romano PS, Roos LL, Luft HS, Jollis JG, Doliszny K. A comparison of administrative versus clinical data: coronary artery bypass surgery as an example. Ischemic Heart Disease Patient Outcomes Research Team. J Clin Epidemiol (1994) 47:249–60. doi:10.1016/0895-4356(94)90006-X

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

35. De Groot P, Munden RF. Lung cancer epidemiology, risk factors, and prevention. Radiol Clin North Am (2012) 50(5):863–76. doi:10.1016/j.rcl.2012.06.006

CrossRef Full Text

36. Kovalchik SA, Tammemagi M, Berg CD, Caporaso NE, Riley TL, Korch M, et al. Targeting of low-dose CT screening according to the risk of lung-cancer death. N Engl J Med (2013) 369:245–54. doi:10.1056/NEJMoa1301851

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

37. Hannan EL, Radzyner M, Rubin D, Dougherty J, Brennan MF. The influence of hospital and surgeon volume on in-hospital mortality for colectomy, gastrectomy, and lung lobectomy in patients with cancer. Surgery (2002) 131(1):6–15. doi:10.1067/msy.2002.120238

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

38. Bach PB, Cramer LD, Schrag D, Downey RJ, Gelfand SE, Begg CB. The influence of hospital volume on survival after resection for lung cancer. N Engl J Med (2001) 345(3):181–8. doi:10.1056/NEJM200107193450306

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

39. Palma D, Visser O, Lagerwaard FJ, Belderbos J, Slotman BJ, Senan S. Impact of introducing stereotactic lung radiotherapy for elderly patients with stage I non-small-cell lung cancer: a population-based time-trend analysis. J Clin Oncol (2010) 28(35):5153–9. doi:10.1200/JCO.2010.30.0731

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

40. Shirvani SM, Jiang J, Chang JY, Welsh JW, Gomez DR, Swisher S, et al. Comparative effectiveness of 5 treatment strategies for early-stage non-small cell lung cancer in the elderly. Int J Radiat Oncol Biol Phys (2012) 84(5):1060–70. doi:10.1016/j.ijrobp.2012.07.2354

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Keywords: lung cancer, elderly, screening, radiotherapy, thoracic surgery

Citation: Varlotto JM, DeCamp MM, Flickinger JC, Lake J, Recht A, Belani CP, Reed MF, Toth JW, Mackley HB, Sciamanna CN, Lipton A, Ali SM, Mahraj RPM, Gilbert CR and Yao N (2014) Would screening for lung cancer benefit 75- to 84-year-old residents of the United States? Front. Oncol. 4:37. doi: 10.3389/fonc.2014.00037

Received: 02 January 2014; Accepted: 12 February 2014;
Published online: 07 March 2014.

Edited by:

Ulf Lennart Karlsson, Marshfield Clinic, USA

Reviewed by:

Daniel Grant Petereit, Rapid City Regional Hospital, USA
Nam Phong Nguyen, International Geriatric Radiotherapy Group, USA

Copyright: © 2014 Varlotto, DeCamp, Flickinger, Lake, Recht, Belani, Reed, Toth, Mackley, Sciamanna, Lipton, Ali, Mahraj, Gilbert and Yao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: John M. Varlotto, Department of Radiation Oncology, University of Massachusetts Medical Center, 55 Lake Avenue North, Worcester, MA 01655, USA e-mail: