Predictors of long time survival after lung cancer surgery: A retrospective cohort study

Roth, Kjetil; Nilsen, Tom Ivar Lund; Hatlen, Elisabeth; Sørensen, Karina Søvik; Hole, Torstein; Haaverstad, Rune

doi:10.1186/1471-2466-8-22

Cited by 20 publications

(18 citation statements)

References 23 publications

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“…Socioeconomic factors could possibly influence referral patterns (26), but are not likely of importance in our country where treatment for cancer is free for all patients. Previous studies from west Norway of the 5‐year survival rate after surgical treatment reported estimates of 46% (27) and 41% (28), which correspond with the 5‐year survival rate of 51% in the operated patients in our cohort.…”

Section: Discussionsupporting

confidence: 82%

Predictors of long‐term survival of lung cancer patients in a Norwegian community

Skaug

Eide

Gulsvik

2010

Clinical Respiratory J

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Introduction: Few population-based studies are available on more than 5 years survival of lung cancer patients. Objectives: The aims of this report were to study the survival and the predictors of survival in all lung cancer patients in a defined population and to determine whether and how the length of time from symptom onset to confirmed diagnosis (delay time) influenced survival. Methods: In a retrospective study, all incident cases from the Norwegian Cancer Registry and the hospital records in the Haugalandet area from 1990 to 1996 were followed until 31 December 2008. The dates of symptom onset, diagnosis, and death and information about demographics, initial stage, performance status, histology and initial symptoms were recorded. Results: Of a total of 271 patients, 57 (21%) were women, and the mean age at diagnosis was 67.4 years. One-year survival was 29.2%, and five-and 10-year survival was 8.5% and 5.5%, respectively. The median (inter quartile range, IQR) survival time was 5.7 (1.9, 14.1) months and the median (IQR) delay time was 2.2 (1.1, 3.7) months. Twenty-five patients (10% of those who died) had a non-lung cancer cause of death. No weight loss at the time of diagnosis was a significant predictor for long survival in addition to younger age, limited stage, good functional performance and surgical treatment, but delay time for diagnosis had no effect on survival time for lung cancer. Conclusion:In the whole population of lung cancer patients, long-term survival remains poor and is not influenced by the diagnostic delay time.Please cite this paper as: Skaug K, Eide GE and Gulsvik A. Predictors of long-term survival of lung cancer patients in a Norwegian community. Clin Respir J 2011; 5: 50-58.

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Section: Discussionsupporting

confidence: 82%

Predictors of long‐term survival of lung cancer patients in a Norwegian community

Skaug

Eide

Gulsvik

2010

Clinical Respiratory J

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“…The overall five-year survival in lung cancer has not changed markedly in Norway the last 40 years (figure 1), but a trend in the last years of a moderate increase in survival in women is observed (5). In a recent study from Norway female gender was a predictor for long time survival in a selected population of lung cancer patients offered surgery (100). We have found 17 clinical lung cancer studies from Norway published in the last 10 years (table 10a+10b), and we want to discuss their observations in the context of lung cancer patients at Haugalandet.…”

Section: Paper IIImentioning

confidence: 95%

Prevalence and Predictors of Symptoms in the Terminal Stage of Lung Cancer

Skaug

Eide

Gulsvik

2007

Chest

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“…Dette er i motsetning til en annen norsk studie hvor FEV 1 < 80 % predikerte redusert langtidsoverlevelse (13). I vår studie kan fravaer av en slik sammenheng skyldes seleksjon, ved at pasienter med uttalt komorbiditet og dår-lig lungefunksjon i større grad ble ekskludert fra kirurgisk behandling i denne tidsperioden.…”

Section: Operasjonsmortalitet Og Residivunclassified