Literature DB >> 27042050

COPD in primary lung cancer patients: prevalence and mortality.

Elinor Ytterstad1, Per C Moe2, Audhild Hjalmarsen3.   

Abstract

BACKGROUND: Previous studies have relied on international spirometry criteria to diagnose COPD in patients with lung cancer without considering the effect lung cancer might have on spirometric results. The aim of this study was to examine the prevalence of COPD and emphysema at the time of primary lung cancer diagnosis and to examine factors associated with survival.
MATERIALS AND METHODS: Medical records, pulmonary function tests, and computed tomography scans were used to determine the presence of COPD and emphysema in patients diagnosed with primary lung cancer at the University Hospital of North Norway in 2008-2010.
RESULTS: Among the 174 lung cancer patients, 69% had COPD or emphysema (39% with COPD, 59% with emphysema; male:female ratio 101:73). Neither COPD nor emphysema were significantly associated with lung cancer mortality, whereas patients with non-small-cell lung cancer other than adenocarcinoma and squamous cell carcinoma had a risk of lung cancer mortality that was more than four times higher than that of patients with small-cell lung cancer (hazard ratio [HR] 4.19, 95% confidence interval [CI] 1.56-11.25). Females had a lower risk of lung cancer mortality than males (HR 0.63, 95% CI 0.42-0.94), and patients aged ≥75 years had a risk that was twice that of patients aged <75 years (HR 2.48, 95% CI 1.59-3.87). Low partial arterial oxygen pressure (4.0-8.4 kPa) increased the risk of lung cancer mortality (HR 2.26, 95% CI 1.29-3.96). So did low partial arterial carbon dioxide pressure (3.0-4.9 kPa) among stage IV lung cancer patients (HR 2.23, 95% CI 1.29-3.85). Several patients with respiratory failure had previously been diagnosed with COPD.
CONCLUSION: The observed prevalence of COPD was lower than that in previous studies. Neither COPD nor emphysema were significantly associated with lung cancer mortality.

Entities:  

Keywords:  COPD; computed tomography; emphysema; lung cancer

Mesh:

Year:  2016        PMID: 27042050      PMCID: PMC4809346          DOI: 10.2147/COPD.S101183

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Introduction

Lung cancer is the leading cause of cancer death worldwide, accounting for more than a million deaths annually.1,2 A Canadian study using life-table methodology found that 172 in 1,000 males and 116 in 1,000 females who currently smoke will eventually develop lung cancer, in addition to 13 in 1,000 male and 14 in 1,000 female nonsmokers.3 Another study reported that 16% of male and 10% of female cigarette smokers die of lung cancer.4 Overall 5-year lung cancer survival is poor, at approximately 15%.5,6 COPD is characterized by airflow obstruction in the lungs and symptoms related to decreased expiratory volume.7 One study reported that about 26% of heavy smokers develop clinically significant COPD.8 Another study reported that COPD affects 15%–20% of smokers and 50%–80% of lung cancer patients with a substantial smoking history.9 Indeed, 40%–70% of lung cancer patients also have COPD, and the risk of COPD is sixfold higher in lung cancer patients than in matched smokers, leading to the conclusion that COPD and lung cancer must share risk factors other than tobacco exposure.10–14 Such factors as airflow limitation, smoking, and genotype can predispose a person to COPD and lung cancer,10 and smokers have a host susceptibility to both these diseases.4,8,9,15 However, the association between COPD and lung cancer is largely explained by smoking habits and the timing of COPD diagnosis. Powell et al reported that 23% of lung cancer cases had a prior diagnosis of COPD, compared with only 6% of controls.16 Pulmonary emphysema is defined morphologically as the enlargement of air spaces distal to the terminal bronchiole, due to dilatation or destruction of alveolar walls.7,17 Computed tomography (CT)-detected emphysema has been shown to be associated with an increased risk of lung cancer,15,18–20 and even nonsmokers with emphysema have an elevated risk of lung cancer.12,13 Inflammatory processes may also play a central role in carcinogenesis,11 and COPD and emphysema are major causes of inflammation in lung tissue.12 However, precise details of the relationship between COPD, emphysema, and lung cancer remain uncertain. Whether airflow obstruction predisposes to lung cancer or whether both arise from a common factor is unclear and beyond the scope of this study.6 Previous studies either relied on international spirometry criteria to diagnose COPD in patients with lung cancer without considering the effect lung cancer might have on the spirometric results or used variable spirometric criteria for pulmonary function testing (PFT) that did not conform to revised standard guidelines. The aim of this study was to examine the prevalence of COPD and emphysema at the time of primary lung cancer diagnosis using a combination of medical records, PFT (including spirometry and blood gases), and CT scans of the lungs. We also examined factors associated with lung cancer mortality.

Materials and methods

Data

We retrospectively reviewed the medical records of the 174 patients (101 males and 73 females between 31 and 90 years of age) diagnosed with primary lung cancer from 2008 to 2010 at the University Hospital of North Norway. Information on age, sex, smoking status, body mass index (BMI), lung cancer diagnosis, histologic type, tumor size, and cancer stage was taken from medical records, as were PFT results like spirometry (forced vital capacity [FVC] and forced expiratory volume in 1 second [FEV1]), arterial blood gases (partial arterial oxygen pressure [PaO2], PaCO2, and carboxyhemoglobin [COHb] in arterial blood plasma), and CT scans of the lungs. Smoking status was recorded as only two categories: nonsmoker and smoker/ex-smoker. An anonymized version of the data set is available in Table S1. The study was approved by the Regional Committee of Research Ethics of North Norway. Patient consent was not obtained as this is a retrospective study.

Lung cancer

Histologic lung cancer was categorized as small-cell lung cancer (SCLC) and non-SCLC (NSCLC). NSCLC was then further categorized as adenocarcinoma, squamous cell carcinoma (SCC), or other, which consisted primarily of large-cell carcinoma and undifferentiated carcinoma of the lungs. Patients with bronchial carcinoids were excluded. Cancer stage was recorded using the TNM classification and the staging I–IV.21–24

Assessment of COPD

Spirometry values at lung cancer diagnosis (Jaeger Master-Screen PFT; BD, Franklin Lakes, NJ, USA) were recorded using European reference values. FVC and FEV1 were recorded in medical records in liters and percentage predicted values, as well as FEV1/FVC%. The GOLD (Global initiative for chronic Obstructive Lung Disease) criteria were used to assign a grade of clinical severity to COPD based on FEV1 and FEV1/FVC%:7 patients with an FEV1/FVC ratio ≤70% were classified as having COPD in all grades; grade 1 was defined as having an FEV1 ≥80%; grade 2 as 50% ≤ FEV1 < 80%; grade 3 as 30% ≤ FEV1 < 50%; and grade 4 as FEV1 <30%. Patients were classified as having COPD at lung cancer diagnosis if they had a previous spirometric diagnosis of COPD in their medical records (known COPD), or if they fulfilled the spirometric criteria, including the authentic flow-volume curve seen in obstructive lung disease (undiagnosed COPD). Patients with bronchial asthma and a normal PFT shortly before lung cancer diagnosis were classified as not having COPD (no COPD), as were patients with an obvious explanation for their spirometric findings, such as a central tumor or atelectasis. Patients with missing data were categorized as “missing – spirometry”.

Assessment of emphysema

The presence of emphysema at lung cancer diagnosis was determined based on information from CT scans (Sensation 16; Siemens AG, Munich, Germany) contained in medical records. All CT scans were reviewed at diagnosis by one radiologist and two pulmonologists, using previously published methods. When emphysema was detected visually in the CT scan (ie, with a score ≥1), the patient was classified as having emphysema.15,25,26

Statistical analysis

Survival times were recorded in days from diagnosis of lung cancer, and were analyzed using the Cox proportional hazard model. Each patient was followed from the date of lung cancer diagnosis until death from primary lung cancer or the end of the study period (October 1, 2014), whichever came first. The following variables were also recorded at diagnosis and considered time-independent covariates in the Cox model: age, sex, smoking status, BMI, histologic type, tumor size, cancer stage, COPD, PaO2, PaCO2, COHb, and emphysema. Preliminary analyses were performed on subsets of the data, in order to identify possible interactions between covariates. The only significant interaction was between cancer stage and PaCO2. As part of the preliminary analyses, we categorized age into four groups: 31–64, 65–69, 70–74, and 75–90 years. The three youngest age-groups were found to have an equal effect on lung cancer mortality, and age was thus reduced to a dichotomous variable (31–74 and 75–90 years). PaO2 was divided into three categories (4–8.4, 8.5–9.9, and ≥10 kPa), as was PaCO2 (3–4.9, 5–5.9, and 6–10 kPa). It is common to include cancer stage as a categorical covariate in a Cox proportional hazard regression model, but this must be done with care, because a mixture of individuals with cancer stages ranging from I to IV may give rise to nonproportionality in hazard ratios (HRs). This phenomenon is thoroughly discussed in the literature.27 We tested proportionality, and did not find any significant violations of the proportional hazard assumption. Another possible feature of the covariate cancer stage is heterogeneity within each stage, where some individuals have a more seriously developed cancer than others within the same stage. Such heterogeneity can be modeled as a frailty covariate.27 We considered this in the preliminary analyses, and found only minor changes in the coefficient estimates compared to a model without frailty. In addition to the traditional Cox model, we modeled the data as a randomized Wiener process27 to identify whether a covariate was of one of two types: 1) a measure of how far the cancer had advanced; or 2) a causal influence on the development of the disease. Results are reported as HRs with 95% confidence intervals (CIs), and P-values are given. Calculations were performed in the statistical computing language R28 using the R package Survival.29 A test for violation of the proportional hazard assumption in the Cox model was performed with the R-routine cox.zph29 in the Survival package. For the Wiener process, we used the R package “invGauss”.30

Results

Of the 174 patients, 120 (69%) had COPD and/or emphysema (67 [38.5%] with COPD and 102 [58.6%] with emphysema). Of the 67 patients with COPD, only 18 (26.9%) did not have coexisting emphysema. The male:female ratios were 101 (58%):73 (42%) for all patients, 40 (59.7%):27 (40.3%) for patients with COPD, and 65 (63.7%):37 (36.3%) for patients with emphysema (Table 1). Of all the patients, 138 (80%) had stage III–IV lung cancer at the time of diagnosis. Only eight (23%) of the 35 patients with stage I–II lung cancer had neither COPD nor emphysema (Table 1). Of the 18 patients with COPD without concomitant emphysema, all but two had stage III–IV lung cancer (data not shown). Only five patients were nonsmokers, and two had missing data on smoking status (data not shown).
Table 1

Baseline characteristics, means, and standard deviation of lung cancer patients diagnosed at the University Hospital of North Norway in 2008–2010 (n=174) according to presence of COPD and emphysema

Patient groupAllCOPDEmphysema without COPDNeither COPD nor emphysema
n174675354
% male5859.76648.1
n, cancer stage I + II3516118
n, cancer stage III + IV138514245
MeanSDMeanSDMeanSDMeanSD
Age (years), n=17467.9210.1770.738.5267.589.4764.7611.80
BMI (kg/m2), n=15524.975.0125.315.2323.354.4725.934.92
FVC (L), n=1442.620.842.400.752.740.942.810.81
FVC (%) predicted78.7020.2173.3817.2980.5622.5284.4320.40
FEV1 (L), n=1441.830.671.480.501.990.652.180.67
FEV1 (%) predicted69.0521.0857.5016.7574.5920.8780.4118.77
FEV1/FVC (%), n=14470.1712.6862.4612.0573.8511.1577.618.29
PaO2 (kPa, air), n=1519.931.589.561.349.701.5610.651.68
PaCO2 (kPa, air), n=1515.100.685.220.575.140.864.890.62
COHb (%), n=1441.491.121.400.821.681.401.441.21
Tumor size (cm)
All patients, n=1675.132.465.322.555.272.694.732.04
Females, n=684.732.264.842.164.642.684.672.12

Abbreviations: BMI, body mass index; FVC, forced vital capacity; FEV1, forced expiratory volume in 1 second; PaO2, partial arterial oxygen pressure; COHb, carboxyhemoglobin (in arterial blood plasma); PaCO2, partial arterial carbon dioxide pressure.

Six patients had missing histologic type, and were excluded from the analyses. Of the remaining 168 patients, 27% were diagnosed with SCLC, 37% with adenocarcinoma, 32% with SCC, and 4% with other – NSCLC (Figure 1). We further excluded 23 patients with missing data on at least one of the significant factors for lung cancer mortality: one patient with missing cancer stage, and 22 patients with missing PaO2/PaCO2 values. Finally, we excluded one male patient with missing PFT who had a strong influence on the Cox-model estimates. Therefore, the final analyses included 144 patients.
Figure 1

Prevalence of COPD and emphysema by histologic type of primary lung cancer (n=168).

Abbreviations: NSCLC, non-small-cell lung cancer; SCC, squamous cell carcinoma; SCLC, small-cell lung cancer.

Smoking status, BMI, tumor size, COHb, and emphysema were not significant covariates in the Cox model. The risk of lung cancer mortality was not significantly different for known-COPD/undiagnosed-COPD patients compared to no-COPD patients, and missing-spirometry patients had a significantly higher risk of lung cancer mortality (HR 6.33, 95% CI 2.69–14.93). The randomized Wiener process identified missing-spirometry patients as a group with more advanced cancer. In a separate analysis, we also categorized COPD into the four GOLD grades,7 but found no significant differences in survival between these grades of COPD (data not shown). Among the histologic types, other – NSCLC patients had a risk of lung cancer mortality that was four times higher than that of SCLC patients (HR 4.19, 95% CI 1.56–11.25). The Wiener process identified other – NSCLC as having poorer survival, meaning a more advanced cancer. The risk of lung cancer mortality among patients with adenocarcinoma and SCC was not significantly different from that of SCLC patients (Table 2).
Table 2

Impact of evaluated variables on survival of patients with primary lung cancer according to Cox regression analysis (n=144)

VariablesCategoryHR95% CIP-value
Age (reference <75 years)≥75 years2.481.59–3.870.0001
SexFemale0.630.42–0.940.0239
COPD (reference no – COPD)Known – COPD1.020.65–1.600.9388
Undiagnosed – COPD1.020.47–2.230.9609
Missing – spirometry6.332.69–14.93<0.0001
Histologic type (reference SCLC)Adenocarcinoma – NSCLC1.300.78–2.150.3157
SCC – NSCLC0.990.57–1.710.9679
Other – NSCLC4.191.56–11.250.0045
PaO2 (kPa, air), reference104.0–8.42.261.29–3.960.0045
8.5–9.91.440.91–2.280.1172
PaCO2 (kPa, air), reference 5.0–5.9
Stage I3–4.91.690.31–9.340.5456
6–1011.242.64–47.850.0011
Stage II3–4.91.700.47–6.210.4226
6–1019.971.92–208.060.0123
Stage III3–4.91.580.77–3.220.2096
6–100.760.22–2.640.6644
Stage IV3–4.92.231.29–3.850.0040
6–100.280.07–1.060.0611

Note: Patients with missing data were categorized as “missing – spirometry”.

Abbreviations: HR, hazard ratio; CI, confidence interval; NSCLC, non-small-cell lung cancer; SCC, squamous cell carcinoma; PaO2, partial arterial oxygen pressure; SCLC, small-cell lung cancer; PaCO2, partial arterial carbon dioxide pressure.

We found a weak but significant effect of sex on lung cancer mortality, with females showing a lower risk than males (HR 0.63, 95% CI 0.42–0.94). In contrast, advanced age was found to increase the risk of lung cancer mortality (Table 2). Further results from the Cox model showed that patients with a low PaO2 (4.0–8.4), compared to those with a high PaO2 (≥10), had an HR of 2.26 (95% CI 1.29–3.96). Among the 28 patients with low PaO2, 16 were known-COPD patients, while only five were no-COPD patients (data not shown). Among patients with stage IV lung cancer, having a low PaCO2 (3.0–4.9) increased the risk of lung cancer mortality (HR 2.23, 95% CI 1.29–3.85). Among the 33 patients with stage IV lung cancer and a low PaCO2, there were 19 no-COPD patients and seven known-COPD patients (data not shown). The Wiener process showed that the effect of having stage IV lung cancer and a low PaCO2 was due to the presence of advanced cancer at time of diagnosis. Among patients below 75 years of age, 5-year survival with stage I lung cancer was 80% in females and 70% in males. Two-year survival with stage III lung cancer was 60% in females and 45% in males (Figure 2). Patients (except those with other – NSCLC) with missing spirometry showed the poorest 2-year survival with stage III lung cancer, at 6% or less, whereas 2-year survival among all other patients was 60% and 45% for young females and males, respectively, and 28% and 14% in females and males aged 75 years and older (Figure 3).
Figure 2

Survival curves for primary lung cancer (except other – NSCLC) by stage among males and females younger than 75 years.

Note: PaO2 fixed at ≥10, PaCO2 at 5.0–5.9 kPa.

Abbreviations: NSCLC, non-small-cell lung cancer; PaO2, partial arterial oxygen pressure; PaCO2, partial arterial carbon dioxide pressure.

Figure 3

Survival curve for primary lung cancer (except other – NSCLC) stage III by age, sex, and spirometry.

Notes: PaO2 fixed at ≥10, PaCO2 at 5.0–5.9 kPa. Patients with missing data were categorized as “missing – spirometry”.

Abbreviations: NSCLC, non-small-cell lung cancer; PaO2, partial arterial oxygen pressure; PaCO2, partial arterial carbon dioxide pressure.

Discussion

About 80% of patients with primary lung cancer are diagnosed with stage III–IV cancer,1,2,5 which is consistent with our findings. However, whereas previous studies used history of sputum production and spirometry as diagnostic criteria for COPD,7,17,18,31 we chose to classify patients as having COPD if a diagnosis was present in their medical records, or if they had spirometric results, arterial blood-gas results, and visual detection of emphysema in their CT scan that indicated COPD. Patients with a central tumor with or without coexisting atelectasis as the only known cause of decreased FEV1 were categorized as not having COPD, thus reducing the possibility of overdiagnosis of COPD. We found a prevalence of COPD of 39%, which is one of the lowest published so far.12,15,19,32 The prevalence of emphysema that we observed was similar to that in previous studies.15,19 In our study, all but two patients with COPD and no concomitant emphysema had stage III–IV lung cancer. However, it is important to note that emphysema may be less visible on the CT scans of patients with advanced lung cancer. Moreover, the PFT of patients with lung cancer may be lower, which can mask COPD or lead to misdiagnosis.15 This retrospective, descriptive study of patients with primary lung cancer included a 5-year survival study. We found that lung cancer patients with missing spirometry data had the poorest survival. Indeed, many of these patients had stage III–IV lung cancer and were too ill to perform PFT at time of diagnosis. However, we did not find any significant difference in survival between patients with and without COPD. The majority of our lung cancer patients with both COPD and emphysema had moderate COPD, and due to the short survival time of lung cancer patients with advanced-stage disease, neither COPD nor emphysema had a significant impact on survival in this study. Other-NSCLC patients had poorer survival than those with adenocarcinoma, SCC, and SCLC, which is in agreement with previous knowledge, as the other histologic types of NSCLC have increased malignancy and a lower treatment effect.1,2,5 Survival was age-independent until 75 years of age, and we found weak significantly better survival in females compared to males. Lung cancer accounts for 25% of all cancer deaths among females, and this percentage continues to increase, possibly due to a lower decrease in smoking frequency among females.31 In contrast, lung cancer mortality is decreasing in males, although previous studies have shown that males generally smoke more pack-years than females.31 Respiratory failure affects the prognosis of COPD survival severely. The information on arterial blood gases in our study showed that lung cancer patients with severe hypoxemia had significantly poorer survival. Moreover, a majority of these patients had COPD. Hypercapnia predicted significantly poorer survival in patients with stage I lung cancer, but there were few patients in this group. A low PaCO2 level indicates hyperventilation provoked by the sensation of dyspnea caused by the severity of the lung cancer itself, and predicted poorer survival in patients with stage IV lung cancer in our study. This study represents a time period immediately before 2011, when the Lean method was implemented as a clinical pathway facilitator in patients with lung cancer. After the introduction of the Lean method, the workup time for lung cancer patients decreased from a mean of 64 days to 16 days, and the median time from diagnosis to surgery went from 26.5 days to 15 days,33 both of which could lead to increased survival rates. A previous study showed that there is an association between COPD and lung cancer, and that the combination of these two diseases leads to a worse outcome. It is reported that there are fewer thoracic surgeries performed in patients with COPD than in those without, and that PFT, cancer stage, and age at diagnosis are associated with the decision to go forward with surgery. Older lung cancer patients with COPD can be treated with chemotherapy and/or radiation therapy, but a systematic, comprehensive assessment of COPD at time of bronchoscopy allows us to implement the optimum management for lung cancer patients.34,35 For example, patients with primary, stage I lung cancer who are ineligible for surgery due to COPD are now treated by stereotactic radiation therapy with curative intention, and thus achieve improved survival.36 EGFR-targeted therapy may also increase survival in some lung cancer patients with COPD.37 Coexistence of lung cancer and emphysema can be assessed by a CT scan. Indeed, low-dose CT scans of the chest as screening for lung cancer have reduced the number of lung cancer deaths significantly, but costs have to be reduced.25,37 Preventive interventions should focus on smoking cessation and screening for early diagnosis.4,37,38 Future screening programs should focus on those 60–74 years of age, smokers, identifying patients with COPD, and early detection of lung cancer based on low-dose CT scans of the chest.37

Conclusion

The observed prevalence of COPD was lower than that in previous studies. Neither COPD nor emphysema were significantly associated with lung cancer mortality. However, at an early lung cancer stage, diagnosis and grading of COPD may have the potential to improve treatment decision and prognosis. Survival of primary lung cancer of all 174 patients diagnosed at University Hospital of North Norway 2008–2010 Notes: Time represents survival time (days) from diagnosis of primary lung cancer; D represents a censoring variable (1 if dead, 0 if alive at the end of the study period); PaO2 and PaCO2 in kPa. Patients with missing data were categorized as “missing – spirometry”. Abbreviations: Ad-NSCLC, adenocarcinoma non-small-cell lung cancer; Emph, emphysema; F, female; M, male; NA, not available; PaO2, partial arterial oxygen pressure; SCC, squamous cell carcinoma; SCLC, small-cell lung cancer; PaCO2, partial arterial carbon dioxide pressure.
Table S1

Survival of primary lung cancer of all 174 patients diagnosed at University Hospital of North Norway 2008–2010

IDSexAge-group, yearsCOPD diagnosisEmphPaO2, rangePaCO2, rangeCancerStageTimeD
1F30–74No COPD010–153–4.9Ad-NSCLCIII3771
2M30–74Missing – spirometry0NANASCC – NSCLCIV3401
3M30–74No COPD110–153–4.9SCLCIV1571
4M30–74No COPD010–153–4.9SCLCIV5471
5M30–74No COPD010–155–5.9Ad-NSCLCIV2,0671
6M30–74No COPD010–155–5.9SCC – NSCLCIII1,2431
7M30–74No COPD010–153–4.9SCC – NSCLCIII2791
8M30–74Known COPD14–8.45–5.9SCLCIII3651
9F75–91Known COPD010–155–5.9SCLCIII6201
10M75–91Known COPD08.5–9.93–4.9SCLCIV161
11F30–74No COPD010–153–4.9Other – NSCLCI8031
12M75–91No COPD14–8.45–5.9SCLCIV771
13F30–74No COPD010–155–5.9Ad-NSCLCI3531
14M30–74No COPD110–153–4.9SCLCIV1881
15M30–74No COPD010–155–5.9SCC – NSCLCII2891
16F30–74No COPD14–8.46–10SCC – NSCLCIII2,1751
17M30–74Missing – spirometry010–155–5.9SCC – NSCLCIV1041
18M75–91Missing – spirometry14–8.43–4.9NAIV101
19M30–74No COPD010–153–4.9Other – NSCLCIV411
20M30–74No COPD010–153–4.9SCLCNA1551
21F30–74No COPD08.5–9.95–5.9Ad-NSCLCIV2451
22M30–74No COPD010–155–5.9SCC – NSCLCIV1161
23F30–74No COPD110–153–4.9Ad-NSCLCIV1311
24M30–74Known COPD14–8.43–4.9Ad-NSCLCIV2871
25M75–91No COPD110–155–5.9SCC – NSCLCIV451
26F30–74No COPD010–153–4.9Ad-NSCLCIII1,7871
27M75–91Undiagnosed COPD18.5–9.95–5.9SCC – NSCLCIV521
28F30–74Missing – spirometry14–8.45–5.9SCC – NSCLCIV541
29M30–74No COPD010–153–4.9NAIV1621
30M75–91Known COPD14–8.46–10SCC – NSCLCIV3191
31F30–74No COPD010–153–4.9Ad-NSCLCIV5611
32M30–74Known COPD14–8.45–5.9SCLCIV1,0761
33M30–74Missing – spirometry1NANASCC – NSCLCIII911
34M75–91Known COPD010–155–5.9SCLCIII271
35M75–91No COPD010–153–4.9SCLCIV71
36F30–74No COPD04–8.45–5.9Ad-NSCLCIV761
37F75–91No COPD010–153–4.9Ad-NSCLCII1921
38F75–91No COPD110–153–4.9SCC – NSCLCII3701
39F30–74No COPD18.5–9.96–10Ad-NSCLCI3771
40M75–91Missing – spirometry010–155–5.9SCC – NSCLCIV361
41F30–74Known COPD010–155–5.9Other – NSCLCIII331
42M30–74Known COPD04–8.45–5.9SCLCIII1,4611
43M30–74No COPD110–153–4.9Other – NSCLCIV1411
44F30–74Missing – spirometry1NANASCC – NSCLCIII281
45F30–74No COPD08.5–9.95–5.9Ad-NSCLCIV5761
46F30–74Missing – spirometry14–8.45–5.9SCLCIV1301
47M30–74Known COPD14–8.45–5.9Ad-NSCLCIII381
48F75–91No COPD110–153–4.9Ad-NSCLCIV441
49M30–74No COPD110–155–5.9Ad-NSCLCI2,2980
50M30–74No COPD010–156–10Ad-NSCLCIII1321
51M30–74Undiagnosed COPD18.5–9.95–5.9Ad-NSCLCIII831
52M30–74No COPD110–153–4.9Ad-NSCLCIII2041
53M30–74No COPD18.5–9.95–5.9SCLCIV1661
54F75–91Undiagnosed COPD08.5–9.96–10SCC – NSCLCII501
55F30–74No COPD010–155–5.9SCLCIV1751
56M75–91No COPD18.5–9.93–4.9SCC – NSCLCIII281
57M30–74Undiagnosed COPD110–155–5.9SCC – NSCLCI2,1551
58M30–74Known COPD010–153–4.9Other – NSCLCIV1681
59F30–74Missing – spirometry04–8.43–4.9Ad-NSCLCIV21
60M75–91Known COPD010–155–5.9SCC – NSCLCIII4151
61M30–74No COPD010–155–5.9Ad-NSCLCIV9171
62M30–74Known COPD110–155–5.9SCC – NSCLCIII4751
63F30–74No COPD08.5–9.95–5.9SCLCIV1,4851
64M30–74Known COPD14–8.43–4.9SCLCIII131
65M75–91Undiagnosed COPD18.5–9.93–4.9SCC – NSCLCIII4601
66F30–74No COPD0NANAAd-NSCLCIII6981
67M30–74Known COPD14–8.45–5.9Ad-NSCLCIV2261
68M30–74No COPD08.5–9.95–5.9Ad-NSCLCIV1841
69F30–74No COPD110–155–5.9Ad-NSCLCI2,1960
70F30–74No COPD010–155–5.9Ad-NSCLCIII2651
71F30–74No COPD18.5–9.93–4.9SCC – NSCLCII2,1890
72M30–74No COPD110–153–4.9SCC – NSCLCIII2871
73M30–74Known COPD18.5–9.95–5.9SCLCIV4921
74M30–74Missing – spirometry08.5–9.96–10SCC – NSCLCIV5011
75F30–74No COPD08.5–9.95–5.9Ad-NSCLCII1,7581
76M30–74No COPD010–155–5.9SCC – NSCLCIII4321
77F30–74No COPD010–155–5.9SCLCIII2,1420
78M30–74No COPD1NANASCC – NSCLCII2,1410
79M30–74No COPD18.5–9.93–4.9SCLCIV181
80F30–74Missing – spirometry010–153–4.9SCLCIV191
81M75–91Missing – spirometry0NANASCLCIV351
82F30–74Missing – spirometry08.5–9.93–4.9SCC – NSCLCIV1351
83F30–74Known COPD14–8.43–4.9SCLCIV1111
84F30–74Known COPD0NANASCLCIV581
85F30–74Undiagnosed COPD110–155–5.9SCC – NSCLCIII2,1140
86F30–74No COPD0NANAAd-NSCLCIII2541
87M75–91Missing – spirometry1NANASCLCIV351
88F75–91No COPD04–8.43–4.9Ad-NSCLCIV181
89M75–91Known COPD110–153–4.9SCLCII4171
90M30–74Known COPD110–155–5.9Ad-NSCLCI2491
91F30–74Known COPD14–8.46–10Ad-NSCLCIII6301
92F30–74Undiagnosed COPD010–153–4.9Ad-NSCLCIV221
93M30–74No COPD110–155–5.9Ad-NSCLCIII7281
94M75–91No COPD18.5–9.93–4.9NAIII1711
95F30–74Known COPD08.5–9.95–5.9SCLCIV5121
96F30–74Missing – spirometry1NANAAd-NSCLCIV4551
97M30–74Known COPD010–155–5.9SCLCIII4411
98F75–91Known COPD14–8.45–5.9SCC – NSCLCI1,3291
99M75–91Known COPD14–8.43–4.9SCC – NSCLCIII1631
100F30–74No COPD010–153–4.9SCLCI1,9020
101F75–91No COPD010–153–4.9Ad-NSCLCIV5371
102F75–91No COPD08.5–9.95–5.9NAIV3451
103F75–91Undiagnosed COPD04–8.45–5.9Ad-NSCLCIV1591
104M75–91Missing – spirometry0NANANAIV141
105M30–74No COPD08.5–9.95–5.9SCLCI1,9830
106M75–91Known COPD18.5–9.95–5.9SCC – NSCLCII5261
107M30–74Missing – spirometry1NANAAd-NSCLCIV2221
108F75–91Known COPD1NANAAd-NSCLCIV821
109M75–91Known COPD08.5–9.95–5.9Ad-NSCLCIV1681
110F75–91Known COPD14–8.45–5.9SCC – NSCLCIII1971
111M30–74No COPD0NANAAd-NSCLCIV1,4121
112F30–74No COPD010–155–5.9SCC – NSCLCIV1,0921
113M75–91No COPD18.5–9.93–4.9SCC – NSCLCII1951
114M30–74Known COPD110–155–5.9SCLCIV9901
115F75–91No COPD110–155–5.9Ad-NSCLCI1,2541
116M30–74No COPD18.5–9.93–4.9SCC – NSCLCIII7891
117F30–74Undiagnosed COPD110–155–5.9Ad-NSCLCII1,8920
118F75–91Known COPD18.5–9.93–4.9SCLCI9211
119F30–74Known COPD14–8.45–5.9SCC – NSCLCIII6181
120M30–74Undiagnosed COPD010–155–5.9SCLCI1,8750
121F30–74Known COPD18.5–9.93–4.9SCC – NSCLCIII691
122M30–74Undiagnosed COPD14–8.43–4.9Ad-NSCLCIV161
123F30–74No COPD110–153–4.9Ad-NSCLCIV1811
124M75–91Known COPD110–153–4.9SCC – NSCLCIV811
125M30–74Known COPD110–153–4.9Ad-NSCLCIII1951
126M30–74No COPD110–153–4.9SCC – NSCLCIII4711
127F30–74Known COPD18.5–9.96–10SCC – NSCLCIII921
128M30–74No COPD18.5–9.93–4.9SCLCIV31
129M30–74No COPD18.5–9.95–5.9SCC – NSCLCIV1531
130M30–74Known COPD110–156–10SCC – NSCLCI5551
131M30–74Known COPD110–153–4.9Ad-NSCLCIII1481
132M75–91No COPD1NANAAd-NSCLCI1,8470
133M30–74Known COPD110–155–5.9SCC – NSCLCIII4171
134M30–74No COPD110–155–5.9SCC – NSCLCI1,8400
135M30–74No COPD110–155–5.9SCC – NSCLCII1,8750
136F30–74No COPD1NANAAd-NSCLCIII7761
137M30–74No COPD14–8.43–4.9Ad-NSCLCIV141
138F30–74Undiagnosed COPD110–153–4.9SCLCIV4371
139F30–74Known COPD110–153–4.9Ad-NSCLCIII1,8180
140M75–91No COPD18.5–9.95–5.9SCLCIII9241
141M75–91Known COPD110–155–5.9SCC – NSCLCI1,7970
142M30–74Known COPD08.5–9.93–4.9SCC – NSCLCIV2141
143F30–74Known COPD18.5–9.95–5.9SCC – NSCLCI1,7440
144M75–91Missing – spirometry18.5–9.95–5.9SCC – NSCLCIII7011
145M30–74No COPD010–153–4.9Ad-NSCLCIV2781
146M75–91Known COPD110–153–4.9Ad-NSCLCIV3971
147M30–74No COPD110–155–5.9SCLCIII1761
148M30–74Missing – spirometry14–8.45–5.9Ad-NSCLCIV371
149M30–74Known COPD010–155–5.9Ad-NSCLCIV2901
150F30–74Known COPD18.5–9.95–5.9NAIII2491
151M30–74Missing – spirometry1NANAAd-NSCLCIV1311
152F30–74No COPD1NANASCLCIV2881
153M75–91Known COPD110–156–10SCC – NSCLCI981
154F30–74No COPD010–155–5.9Ad-NSCLCIII1,7470
155M30–74Known COPD18.5–9.95–5.9SCC – NSCLCIII7411
156M75–91Missing – spirometry1NANASCLCIV1841
157F30–74No COPD18.5–9.95–5.9SCLCIV3981
158M30–74No COPD010–155–5.9SCLCIV4491
159M30–74No COPD010–153–4.9Ad-NSCLCII1,4371
160F30–74No COPD010–153–4.9Ad-NSCLCIV1661
161M30–74No COPD18.5–9.93–4.9Ad-NSCLCIV1411
162M30–74No COPD010–153–4.9SCC – NSCLCIII1,0011
163F30–74Missing – spirometry110–155–5.9SCLCIV1811
164F75–91Known COPD110–155–5.9Ad-NSCLCII3351
165F30–74Missing – spirometry0NANASCC – NSCLCIV2361
166F75–91Known COPD18.5–9.95–5.9Other – NSCLCIV681
167M30–74Known COPD18.5–9.96–10Ad-NSCLCIV91
168M30–74Known COPD14–8.45–5.9SCLCI4451
169F30–74No COPD0NANASCLCIII5141
170F30–74Known COPD0NANASCLCIV3331
171F30–74Known COPD110–153–4.9Ad-NSCLCII2431
172F30–74Known COPD14–8.45–5.9SCLCIV2441
173F30–74No COPD110–155–5.9SCC – NSCLCIII6321
174M30–74Missing – spirometry1NANAAd-NSCLCIV571

Notes: Time represents survival time (days) from diagnosis of primary lung cancer; D represents a censoring variable (1 if dead, 0 if alive at the end of the study period); PaO2 and PaCO2 in kPa. Patients with missing data were categorized as “missing – spirometry”.

Abbreviations: Ad-NSCLC, adenocarcinoma non-small-cell lung cancer; Emph, emphysema; F, female; M, male; NA, not available; PaO2, partial arterial oxygen pressure; SCC, squamous cell carcinoma; SCLC, small-cell lung cancer; PaCO2, partial arterial carbon dioxide pressure.

  29 in total

1.  ERS/ESTS clinical guidelines on fitness for radical therapy in lung cancer patients (surgery and chemo-radiotherapy).

Authors:  A Brunelli; A Charloux; C T Bolliger; G Rocco; J-P Sculier; G Varela; M Licker; M K Ferguson; C Faivre-Finn; R M Huber; E M Clini; T Win; D De Ruysscher; L Goldman
Journal:  Eur Respir J       Date:  2009-07       Impact factor: 16.671

2.  Inflammation in the genesis and perpetuation of cancer: summary and recommendations from a national cancer institute-sponsored meeting.

Authors:  Richard M Peek; Suresh Mohla; Raymond N DuBois
Journal:  Cancer Res       Date:  2005-10-01       Impact factor: 12.701

3.  Quantitative computed tomography analysis, airflow obstruction, and lung cancer in the pittsburgh lung screening study.

Authors:  David O Wilson; Joseph K Leader; Carl R Fuhrman; John J Reilly; Frank C Sciurba; Joel L Weissfeld
Journal:  J Thorac Oncol       Date:  2011-07       Impact factor: 15.609

4.  Effect of smoking reduction on lung cancer risk.

Authors:  Nina S Godtfredsen; Eva Prescott; Merete Osler
Journal:  JAMA       Date:  2005-09-28       Impact factor: 56.272

5.  Prevalence of chronic obstructive pulmonary disease according to BTS, ERS, GOLD and ATS criteria in relation to doctor's diagnosis, symptoms, age, gender, and smoking habits.

Authors:  Anne Lindberg; Ann-Christin Jonsson; Eva Rönmark; Rune Lundgren; Lars-Gunnar Larsson; Bo Lundbäck
Journal:  Respiration       Date:  2005 Sep-Oct       Impact factor: 3.580

6.  Smoking, smoking cessation, and lung cancer in the UK since 1950: combination of national statistics with two case-control studies.

Authors:  R Peto; S Darby; H Deo; P Silcocks; E Whitley; R Doll
Journal:  BMJ       Date:  2000-08-05

7.  Assessing the relationship between lung cancer risk and emphysema detected on low-dose CT of the chest.

Authors:  Juan P de Torres; Gorka Bastarrika; Juan P Wisnivesky; Ana B Alcaide; Arantza Campo; Luis M Seijo; Jesús C Pueyo; Alberto Villanueva; María D Lozano; Usua Montes; Luis Montuenga; Javier J Zulueta
Journal:  Chest       Date:  2007-12       Impact factor: 9.410

Review 8.  Chronic obstructive pulmonary disease as a risk factor for lung cancer.

Authors:  Yuichi Takiguchi; Ikuo Sekine; Shunichiro Iwasawa; Ryota Kurimoto; Koichiro Tatsumi
Journal:  World J Clin Oncol       Date:  2014-10-10

9.  Chronic obstructive pulmonary disease and risk of lung cancer: the importance of smoking and timing of diagnosis.

Authors:  Helen A Powell; Barbara Iyen-Omofoman; David R Baldwin; Richard B Hubbard; Laila J Tata
Journal:  J Thorac Oncol       Date:  2013-01       Impact factor: 15.609

10.  COPD prevalence is increased in lung cancer, independent of age, sex and smoking history.

Authors:  R P Young; R J Hopkins; T Christmas; P N Black; P Metcalf; G D Gamble
Journal:  Eur Respir J       Date:  2009-02-05       Impact factor: 16.671

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  14 in total

1.  Regional Emphysema Score Predicting Overall Survival, Quality of Life, and Pulmonary Function Recovery in Early-Stage Lung Cancer Patients.

Authors:  Jie Dai; Ming Liu; Stephen J Swensen; Shawn M Stoddard; Jason A Wampfler; Andrew H Limper; Gening Jiang; Ping Yang
Journal:  J Thorac Oncol       Date:  2017-01-23       Impact factor: 15.609

2.  Characterization of Dyspnea in Veteran Lung Cancer Survivors Following Curative-Intent Therapy.

Authors:  Duc Ha; Andrew L Ries
Journal:  J Cardiopulm Rehabil Prev       Date:  2020-03       Impact factor: 3.646

3.  Analysis of the Clinicopathological Characteristics and Risk Factors in Patients with Lung Cancer and Chronic Obstructive Pulmonary Disease.

Authors:  Jian-Long Miao; Jing-Jing Cai; Xiao-Feng Qin; Rui-Juan Liu
Journal:  Biomed Res Int       Date:  2018-02-14       Impact factor: 3.411

4.  Impact of COPD on prognosis of lung cancer: from a perspective on disease heterogeneity.

Authors:  Wei Wang; Shuang Dou; Wenyan Dong; Mengshuang Xie; Liwei Cui; Chunyan Zheng; Wei Xiao
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-11-20

5.  Does chronic obstructive pulmonary disease relate to poor prognosis in patients with lung cancer?: A meta-analysis.

Authors:  Hefeng Lin; Yunlong Lu; Liya Lin; Ke Meng; Junqiang Fan
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.817

6.  Electronic Medical Record Inaccuracies: Multicenter Analysis of Challenges with Modified Lung Cancer Screening Criteria.

Authors:  Candice L Wilshire; Carson C Fuller; Christopher R Gilbert; John R Handy; Kimberly E Costas; Brian E Louie; Ralph W Aye; Alexander S Farivar; Eric Vallières; Jed A Gorden
Journal:  Can Respir J       Date:  2020-03-26       Impact factor: 2.409

7.  Prognostic significance of CT-determined emphysema in patients with small cell lung cancer.

Authors:  Hee Young Lee; Eun Young Kim; Young Saing Kim; Hee Kyung Ahn; Yoon Kyung Kim
Journal:  J Thorac Dis       Date:  2018-02       Impact factor: 2.895

8.  The link between chronic obstructive pulmonary disease phenotypes and histological subtypes of lung cancer: a case-control study.

Authors:  Wei Wang; Mengshuang Xie; Shuang Dou; Liwei Cui; Chunyan Zheng; Wei Xiao
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-04-13

9.  Effect of COPD on symptoms, quality of life and prognosis in patients with advanced non-small cell lung cancer.

Authors:  Young-Soo Yi; Woo Ho Ban; Kyeong-Yae Sohng
Journal:  BMC Cancer       Date:  2018-10-29       Impact factor: 4.430

10.  Optimizing COPD treatment in patients with lung- or head and neck cancer does not improve quality of life - a randomized, pilot, clinical trial.

Authors:  Magnus Gottlieb; Anders Mellemgaard; Kristoffer Marsaa; Nina Godtfredsen
Journal:  Eur Clin Respir J       Date:  2020-03-02
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