The Accuracy of Clinical Staging of Stage I-IIIa Non-Small Cell Lung Cancer: An Analysis Based on Individual Participant Data.


Journal

Chest
ISSN: 1931-3543
Titre abrégé: Chest
Pays: United States
ID NLM: 0231335

Informations de publication

Date de publication:
03 2019
Historique:
received: 23 05 2018
revised: 17 08 2018
accepted: 02 10 2018
pubmed: 6 11 2018
medline: 21 12 2019
entrez: 5 11 2018
Statut: ppublish

Résumé

Clinical staging of non-small cell lung cancer (NSCLC) helps determine the prognosis and treatment of patients; few data exist on the accuracy of clinical staging and the impact on treatment and survival of patients. We assessed whether participant or trial characteristics were associated with clinical staging accuracy as well as impact on survival. We used individual participant data from randomized controlled trials (RCTs), supplied for a meta-analysis of preoperative chemotherapy (± radiotherapy) vs surgery alone (± radiotherapy) in NSCLC. We assessed agreement between clinical TNM (cTNM) stage at randomization and pathologic TNM (pTNM) stage, for participants in the control group. Results are based on 698 patients who received surgery alone (± radiotherapy) with data for cTNM and pTNM stage. Forty-six percent of cases were cTNM stage I, 23% were cTNM stage II, and 31% were cTNM stage IIIa. cTNM stage disagreed with pTNM stage in 48% of cases, with 34% clinically understaged and 14% clinically overstaged. Agreement was not associated with age (P = .12), sex (P = .62), histology (P = .82), staging method (P = .32), or year of randomization (P = .98). Poorer survival in understaged patients was explained by the underlying pTNM stage. Clinical staging failed to detect T4 disease in 10% of cases and misclassified nodal disease in 38%. This study demonstrates suboptimal agreement between clinical and pathologic staging. Discrepancies between clinical and pathologic T and N staging could have led to different treatment decisions in 10% and 38% of cases, respectively. There is therefore a need for further research into improving staging accuracy for patients with stage I-IIIa NSCLC.

Sections du résumé

BACKGROUND
Clinical staging of non-small cell lung cancer (NSCLC) helps determine the prognosis and treatment of patients; few data exist on the accuracy of clinical staging and the impact on treatment and survival of patients. We assessed whether participant or trial characteristics were associated with clinical staging accuracy as well as impact on survival.
METHODS
We used individual participant data from randomized controlled trials (RCTs), supplied for a meta-analysis of preoperative chemotherapy (± radiotherapy) vs surgery alone (± radiotherapy) in NSCLC. We assessed agreement between clinical TNM (cTNM) stage at randomization and pathologic TNM (pTNM) stage, for participants in the control group.
RESULTS
Results are based on 698 patients who received surgery alone (± radiotherapy) with data for cTNM and pTNM stage. Forty-six percent of cases were cTNM stage I, 23% were cTNM stage II, and 31% were cTNM stage IIIa. cTNM stage disagreed with pTNM stage in 48% of cases, with 34% clinically understaged and 14% clinically overstaged. Agreement was not associated with age (P = .12), sex (P = .62), histology (P = .82), staging method (P = .32), or year of randomization (P = .98). Poorer survival in understaged patients was explained by the underlying pTNM stage. Clinical staging failed to detect T4 disease in 10% of cases and misclassified nodal disease in 38%.
CONCLUSIONS
This study demonstrates suboptimal agreement between clinical and pathologic staging. Discrepancies between clinical and pathologic T and N staging could have led to different treatment decisions in 10% and 38% of cases, respectively. There is therefore a need for further research into improving staging accuracy for patients with stage I-IIIa NSCLC.

Identifiants

pubmed: 30391190
pii: S0012-3692(18)32607-2
doi: 10.1016/j.chest.2018.10.020
pmc: PMC6435782
pii:
doi:

Substances chimiques

Antineoplastic Agents 0

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

502-509

Subventions

Organisme : Medical Research Council
ID : G0800465
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12023/28
Pays : United Kingdom
Organisme : NCI NIH HHS
ID : U10 CA180888
Pays : United States
Organisme : Department of Health
Pays : United Kingdom

Investigateurs

Sarah Burdett (S)
Larysa H M Rydzewska (LHM)
Jayne F Tierney (JF)
Anne Auperin (A)
Thierry Le Chevalier (T)
Cécile Le Pechoux (C)
Jean-Pierre Pignon (JP)
Rodrigo Arriagada (R)
David H Johnson (DH)
Jan van Meerbeeck (J)
Mahesh K B Parmar (MKB)
Richard J Stephens (RJ)
Lesley A Stewart (LA)
Paul A Bunn (PA)
Bertrand Dautzenberg (B)
David Gilligan (D)
Harry Groen (H)
Aija Knuuttila (A)
Eric Vallieres (E)
Rafael Rosell (R)
Jack Roth (J)
Giorgio Scagliotti (G)
Masahiro Tsuboi (M)
David Waller (D)
Virginie Westeel (V)
Yi-Long Wu (YL)
Xue-Ning Yang (XN)

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

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Auteurs

Neal Navani (N)

Lungs for Living Research Centre, UCL Respiratory and Department of Thoracic Medicine, University College London Hospital, London, England. Electronic address: n.navani@ucl.ac.uk.

David J Fisher (DJ)

MRC Clinical Trials Unit at UCL, London, England.

Jayne F Tierney (JF)

MRC Clinical Trials Unit at UCL, London, England.

Richard J Stephens (RJ)

MRC Clinical Trials Unit at UCL, London, England.

Sarah Burdett (S)

MRC Clinical Trials Unit at UCL, London, England.

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Classifications MeSH