Documentation and Statistics

  • O. Wagner
  • M. Schemper


Vascular surgery is a specialty mainly based on clinical experience. Except for basic innovations like new vascular replacements development and progress rely on observations gained in everyday clinical practice. This information is then transmitted by surgeons’ reports on their own therapeutic procedures and the results achieved through publications in medical journals and presentation of papers at meetings and congresses. Such retrospective reports depend on personal impressions and recollections and are seldom reflections on a broad base of facts. To avoid these pitfalls many medical investigaters have turned to prospective studies, this process was enhanced by the development of new statistical methods and improvement of computerized documentations systems.


Vein Graft Vascular Surgeon Vascular Reconstruction Vascular Registry Data Processing System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Armitage P (1971) Statistical methods in medical research. Blackwell, OxfordGoogle Scholar
  2. 2.
    Breslow N (1978) Perspectives on the statistican’s role in cooperative clinical research. Cancer 41:326–332PubMedCrossRefGoogle Scholar
  3. 3.
    Breslow N (1970) A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorship. Biometrika 57:579–594CrossRefGoogle Scholar
  4. 4.
    Brown BW, Hollander M, Korwar RM (1974) Non-parametric tests of independence for censored data, with applications to heart transplant studies. In: Proschan F, Serfling RJ (eds) Reliability and biometry. SIAM, Philadelphia, pp 327–354Google Scholar
  5. 5.
    Cox DR (1972) Regression models and life tables. JR Stat SocB 34:187–220Google Scholar
  6. 6.
    Cutler SJ, Ederer F (1958) Maximum utilization of the lift table method in analyzing survival. J Chronic Dis 8:699–713PubMedCrossRefGoogle Scholar
  7. 7.
    Dersimonian R, Charette LJ, McPeck B, Mosteller F (1982) Reporting on methods in clinical trials. N Engl J Med 306:1332–1337PubMedCrossRefGoogle Scholar
  8. 8.
    Dixon WJ, Brown MB, Englman L, Frane JW, Hill MA, Jennrich RI, Toporek JD (1982) BMDP statistical software. University of California Press, BerkeleyGoogle Scholar
  9. 9.
    Ederer F, Axtell LM, Cutler SJ (1961) The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr 6:101–121PubMedGoogle Scholar
  10. 10.
    Gehan EA (1965) A generalized Wilcoxon test for comparing arbitrarily singly censored samples. Bio-metrika 52:203–223Google Scholar
  11. 11.
    Grabner H, Leihanec J (1976) Das universelle Doku-mentationssystem im Rahmen des Informationssystems WAMIS. EDV Medizin Biol 7:53–56Google Scholar
  12. 12.
    Griesser G (1965) Heilkunde und Statistik - Mensch und Zahl. Methods Inf Med 4:114–120PubMedGoogle Scholar
  13. 13.
    Griesser G (1967) Zur Methodik der wissenschaftlichen Arbeit in der Allgemeinmedizin. Med Welt 47:2801–2807PubMedGoogle Scholar
  14. 14.
    Gunta SK, Veith FS, White-Flores SA et al. (1984) System for widespread application of microcomputers to vascular surgery. J Vase Surg 1:601–604Google Scholar
  15. 15.
    Jacobson JH, Karipineni RC, Weisberg M, Radna R (1980) Description of a universal data entry and retrieval program for vascular surgeons. Surgery 88:766–774PubMedGoogle Scholar
  16. 16.
    Kaplan EL, Maier P (1958) Nonparametric estimation from incomplete observations. J Amer Statist Ass 53:457–481CrossRefGoogle Scholar
  17. 17.
    Karmody AM, Fitzgerald K, Branagh M, Leather RP (1984) Development of a computerized vascular registry for large scale use. J Vase Surg 1:594–600Google Scholar
  18. 18.
    Koller S (1963) Die Aufgaben der Statistik und Dokumentation in der Medizin. Dtsch Med Wochenschr 40:1917– 1924CrossRefGoogle Scholar
  19. 19.
    Koller S (1963) Systematik der statistischen Schluß-fehler. Methods Inf Med 3:113– 117Google Scholar
  20. 20.
    Kretschmer G, Wenzl E, Piza F, Polterauer P, Ehringer H, Miner E, Schemper M (1987) The influence of anticoagulant treatment on probability of function in femoropopliteal vein bypass surgery: analysis of a clinical series (1970–1989) and interim evaluation of a controlled clinical trial. Surgery 102:453– 459PubMedGoogle Scholar
  21. 21.
    Lawless JF (1982) Statistical models and methods for lifetime data. Wiley, New YorkGoogle Scholar
  22. 22.
    Mainland D (1960) The use and misuse of statistics in medical publications. Clin Pharmacol Ther 1:411– 422PubMedGoogle Scholar
  23. 23.
    Mainland D (1965) We wish to hire a medical stat-istican. Have you any advice to offer? JAMA 193:289– 193PubMedCrossRefGoogle Scholar
  24. 24.
    Mantel N (1966) Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemotherapy Reports 50:163– 170Google Scholar
  25. 25.
    O’Brien P (1978) A nonparametric test for association with censored data. Biometrics 34:143– 250Google Scholar
  26. 26.
    Plecha FR, Avellone JC, Beren EG, DePalma RG, Hertzer NR (1979) A computerized vascular registry: experience of the Cleveland Vascular Society. Surgery 86:826– 835PubMedGoogle Scholar
  27. 27.
    Pocock SJ, Simon R (1975) Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial. Biometrics 31:103– 115PubMedCrossRefGoogle Scholar
  28. 28.
    Pocock SJ (1983) Clinical trials. Wiley, Chichester New York Brisbane Toronto SingaporeGoogle Scholar
  29. 29.
    Rümke ChL (1970) Über die Gefahr falscher Schluß-folgerungen aus Krankenblattdaten (Berkson’s Fallacy). Methods Inf Med 9:249–254PubMedGoogle Scholar
  30. 30.
    Sachs L (1974) Angewandte Statistik, 4th edn. Springer, Berlin Heidelberg New YorkGoogle Scholar
  31. 31.
    SAS Institute Inc (1982) SAS user’s guide: basics. Cary, North CarolinaGoogle Scholar
  32. 32.
    SAS Institute Inc (1981) SAS/Graph user’s guide, Cary, North CarolinaGoogle Scholar
  33. 33.
    SAS Institute Inc (1982) SAS/user’s guide: statistics. Cary, North CarolinaGoogle Scholar
  34. 34.
    SAS Institute Inc (1982) SAS/FSP user’s guide. Cary, North CarolinaGoogle Scholar
  35. 35.
    Schemper M, Funovics J, Puchner M (1981) Computergestützte Patientennachsorge -Darstellungeines Modells und Bericht über 40 Monate Funk-tionsdauer. In: Adlassnig KP, Dorda W, Grabner G (eds) Medizinische Informatik. Oldenbourg, Wien München, p 69– 75Google Scholar
  36. 36.
    Schemper M (1981) Eine Programmsammlung zur statistischen Analyse zensierter Überlebenszeiten. Statistical Software Newsletter 7:118– 121Google Scholar
  37. 37.
    Schemper M (1982) Randomisierung für kontrollierte Therapiestudien. Wien Klin Wochenschr 94:604– 609PubMedGoogle Scholar
  38. 38.
    Schemper M, Dorda W (1983) Integrierte Datenverarbeitung für klinische Studien. EDV Med Biol 14:65– 77Google Scholar
  39. 39.
    Schemper M, Scheiber V (1984) Statistische Standards für klinische Langzeitstudien. Wien Klin Wochenschr 96:361– 370PubMedGoogle Scholar
  40. 40.
    Schemper M (1984) Analysis of associations with censored data by generalized Mantel and Breslow tests and generalized Kendall correlation coefficients. Biom J 3:308– 318Google Scholar
  41. 41.
    Schemper M (1984) A survey of permutation tests for censored survival data. Commun Statist A 13:1655– 1665CrossRefGoogle Scholar
  42. 42.
    Stachowiak H (1973) Allgemeine Modelltheorie. Springer, Vienna New YorkGoogle Scholar
  43. 43.
    Stokes JM, Slugg WL, Butcher HR (1963) Standard method of assessing relative effectiveness of therapies for arterial occlusive diseases. Ann Surg 157:343– 350PubMedCrossRefGoogle Scholar
  44. 44.
    Troëng Th (1987) The vascular registry - a responsibility for all vascular surgeons? Vascular registry in Southern Sweden (VRISS). Eur J Vase Surg 1:219– 226CrossRefGoogle Scholar
  45. 45.
    Victor N, Dudeck J, Broszio EP (eds) (1981) Therapiestudien. Springer, Berlin Heidelberg New YorkGoogle Scholar
  46. 46.
    Wagner O (1973) Das Dokumentationssystem der Österr. Ges. für Gefäßchirurgie - Aufbau, Struktur und praktische Anwendung. In: Denck H, Koch G, Piza F, Wagner O (eds) Intestinale Durchblutungsstörungen. Egermann, Wien, pp 211– 226Google Scholar
  47. 47.
    Wagner O (1978) Chirurgische Behandlung der arteriellen Durchblutungsstorungen der unteren Extremität -Therapeutische Erfolgsbeurteilung. Med Klin 73:1183– 1191PubMedGoogle Scholar
  48. 48.
    Wagner O, Schemper M (1983) Gefäßchirurgie - der chronische Gefäßverschluß der unteren Extremität:Scfiwerpunkte ehirargischer Forschung. Chirurg 54:211– 220PubMedGoogle Scholar
  49. 49.
    Wagner O, Schemper M (1983) Chronische Durch-blutungsstörung der unteren Extremität. Einfluß des Alters auf Sofort- und Spätergebnisse nach Gefäßrekonstruktion. In: Bünte H, Rühland D (eds) Arterielle Durchblutungsstörungen im hohen Lebensalter. Schattauer, Stuttgart New York, pp 193– 202 (Ergebnisse der Angiologie, vol 27)Google Scholar
  50. 50.
    Wagner O, Kretschmer G, Piza F, Polterauer P, Schemper M (1984) Hat das Patientenalter einen Einfluß auf die Spätergebnisse von Gefäßrekonstruktionen bei chronischer Durchblutungsstörung der unteren Extremität? In: Piza F, Mavosi L (eds) Angiologie und Geriatric Robidruck, Wien, pp 221– 229Google Scholar
  51. 51.
    Weber E (1980) Grundriß der biologischen Statistik, 8th edn. Fischer, StuttgartGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • O. Wagner
  • M. Schemper

There are no affiliations available

Personalised recommendations