HODGKIN'S DISEASE PROGNOSIS: A DIRECTLY PREDICTIVE EQUATION

PaoloG Gobbi, Massimo Federico, UbaldoA Di Prisco, Vittorio Silingardi, Carla Cavalli, Daniele Bertoloni, Andrea Rossi, Carlo Mauri, Edoardo Ascari

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

586 patients with Hodgkin's disease diagnosed between 1970 and 1979 were staged and treated in the same way. Multivariate analysis was used to delineate the prognostic roles of several clinical features at diagnosis. A multiple regression analysis was applied to an exponential model for survival-time distribution, which proved to fit the data accurately. Several clinical characteristics were studied and those that could singly discriminate survival significantly were chosen as predictive variables for the multiple regression. These were: sex, age, stage, histological subtype, presence of constitutional symptoms, mediastinal mass, and erythrocyte sedimentation rate (ESR), and haemoglobin and serum albumin concentrations. ESR, stage, histological subtype, and age proved to be the best prognostic factors, while sex and albumin had minor value. The presence of symptoms, mediastinal bulk, and haemoglobin were not so important. A linear equation for the six variables was derived to calculate the estimated median survival time for any given patient. This equation was validated on an external group of 179 similar patients.

Original languageEnglish
Pages (from-to)675-679
Number of pages5
JournalLancet
Volume331
Issue number8587
DOIs
Publication statusPublished - Mar 26 1988

Fingerprint

Hodgkin Disease
Blood Sedimentation
Survival
Hemoglobins
Serum Albumin
Albumins
Multivariate Analysis
Regression Analysis

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Gobbi, P., Federico, M., Di Prisco, U., Silingardi, V., Cavalli, C., Bertoloni, D., ... Ascari, E. (1988). HODGKIN'S DISEASE PROGNOSIS: A DIRECTLY PREDICTIVE EQUATION. Lancet, 331(8587), 675-679. https://doi.org/10.1016/S0140-6736(88)91477-8

HODGKIN'S DISEASE PROGNOSIS : A DIRECTLY PREDICTIVE EQUATION. / Gobbi, PaoloG; Federico, Massimo; Di Prisco, UbaldoA; Silingardi, Vittorio; Cavalli, Carla; Bertoloni, Daniele; Rossi, Andrea; Mauri, Carlo; Ascari, Edoardo.

In: Lancet, Vol. 331, No. 8587, 26.03.1988, p. 675-679.

Research output: Contribution to journalArticle

Gobbi, P, Federico, M, Di Prisco, U, Silingardi, V, Cavalli, C, Bertoloni, D, Rossi, A, Mauri, C & Ascari, E 1988, 'HODGKIN'S DISEASE PROGNOSIS: A DIRECTLY PREDICTIVE EQUATION', Lancet, vol. 331, no. 8587, pp. 675-679. https://doi.org/10.1016/S0140-6736(88)91477-8
Gobbi P, Federico M, Di Prisco U, Silingardi V, Cavalli C, Bertoloni D et al. HODGKIN'S DISEASE PROGNOSIS: A DIRECTLY PREDICTIVE EQUATION. Lancet. 1988 Mar 26;331(8587):675-679. https://doi.org/10.1016/S0140-6736(88)91477-8
Gobbi, PaoloG ; Federico, Massimo ; Di Prisco, UbaldoA ; Silingardi, Vittorio ; Cavalli, Carla ; Bertoloni, Daniele ; Rossi, Andrea ; Mauri, Carlo ; Ascari, Edoardo. / HODGKIN'S DISEASE PROGNOSIS : A DIRECTLY PREDICTIVE EQUATION. In: Lancet. 1988 ; Vol. 331, No. 8587. pp. 675-679.
@article{b210093cb8344fb7a1d5fbbd28d7a4df,
title = "HODGKIN'S DISEASE PROGNOSIS: A DIRECTLY PREDICTIVE EQUATION",
abstract = "586 patients with Hodgkin's disease diagnosed between 1970 and 1979 were staged and treated in the same way. Multivariate analysis was used to delineate the prognostic roles of several clinical features at diagnosis. A multiple regression analysis was applied to an exponential model for survival-time distribution, which proved to fit the data accurately. Several clinical characteristics were studied and those that could singly discriminate survival significantly were chosen as predictive variables for the multiple regression. These were: sex, age, stage, histological subtype, presence of constitutional symptoms, mediastinal mass, and erythrocyte sedimentation rate (ESR), and haemoglobin and serum albumin concentrations. ESR, stage, histological subtype, and age proved to be the best prognostic factors, while sex and albumin had minor value. The presence of symptoms, mediastinal bulk, and haemoglobin were not so important. A linear equation for the six variables was derived to calculate the estimated median survival time for any given patient. This equation was validated on an external group of 179 similar patients.",
author = "PaoloG Gobbi and Massimo Federico and {Di Prisco}, UbaldoA and Vittorio Silingardi and Carla Cavalli and Daniele Bertoloni and Andrea Rossi and Carlo Mauri and Edoardo Ascari",
year = "1988",
month = "3",
day = "26",
doi = "10.1016/S0140-6736(88)91477-8",
language = "English",
volume = "331",
pages = "675--679",
journal = "The Lancet",
issn = "0140-6736",
publisher = "Lancet Publishing Group",
number = "8587",

}

TY - JOUR

T1 - HODGKIN'S DISEASE PROGNOSIS

T2 - A DIRECTLY PREDICTIVE EQUATION

AU - Gobbi, PaoloG

AU - Federico, Massimo

AU - Di Prisco, UbaldoA

AU - Silingardi, Vittorio

AU - Cavalli, Carla

AU - Bertoloni, Daniele

AU - Rossi, Andrea

AU - Mauri, Carlo

AU - Ascari, Edoardo

PY - 1988/3/26

Y1 - 1988/3/26

N2 - 586 patients with Hodgkin's disease diagnosed between 1970 and 1979 were staged and treated in the same way. Multivariate analysis was used to delineate the prognostic roles of several clinical features at diagnosis. A multiple regression analysis was applied to an exponential model for survival-time distribution, which proved to fit the data accurately. Several clinical characteristics were studied and those that could singly discriminate survival significantly were chosen as predictive variables for the multiple regression. These were: sex, age, stage, histological subtype, presence of constitutional symptoms, mediastinal mass, and erythrocyte sedimentation rate (ESR), and haemoglobin and serum albumin concentrations. ESR, stage, histological subtype, and age proved to be the best prognostic factors, while sex and albumin had minor value. The presence of symptoms, mediastinal bulk, and haemoglobin were not so important. A linear equation for the six variables was derived to calculate the estimated median survival time for any given patient. This equation was validated on an external group of 179 similar patients.

AB - 586 patients with Hodgkin's disease diagnosed between 1970 and 1979 were staged and treated in the same way. Multivariate analysis was used to delineate the prognostic roles of several clinical features at diagnosis. A multiple regression analysis was applied to an exponential model for survival-time distribution, which proved to fit the data accurately. Several clinical characteristics were studied and those that could singly discriminate survival significantly were chosen as predictive variables for the multiple regression. These were: sex, age, stage, histological subtype, presence of constitutional symptoms, mediastinal mass, and erythrocyte sedimentation rate (ESR), and haemoglobin and serum albumin concentrations. ESR, stage, histological subtype, and age proved to be the best prognostic factors, while sex and albumin had minor value. The presence of symptoms, mediastinal bulk, and haemoglobin were not so important. A linear equation for the six variables was derived to calculate the estimated median survival time for any given patient. This equation was validated on an external group of 179 similar patients.

UR - http://www.scopus.com/inward/record.url?scp=0023871907&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0023871907&partnerID=8YFLogxK

U2 - 10.1016/S0140-6736(88)91477-8

DO - 10.1016/S0140-6736(88)91477-8

M3 - Article

C2 - 2895213

AN - SCOPUS:0023871907

VL - 331

SP - 675

EP - 679

JO - The Lancet

JF - The Lancet

SN - 0140-6736

IS - 8587

ER -