Erlotinib or Gefitinib for Treating Advanced Epidermal Growth Factor Receptor Mutation-Positive Lung Cancer in Aotearoa New Zealand: Protocol for a National Whole-of-Patient-Population Retrospective Cohort Study and Results of a Validation Substudy.


Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
02 Jul 2024
Historique:
received: 04 09 2023
accepted: 04 03 2024
revised: 29 02 2024
medline: 2 7 2024
pubmed: 2 7 2024
entrez: 2 7 2024
Statut: epublish

Résumé

Starting in 2010, the epidermal growth factor receptor (EGFR) kinase inhibitors erlotinib and gefitinib were introduced into routine use in Aotearoa New Zealand (NZ) for treating advanced lung cancer, but their impact in this setting is unknown. The study described in this protocol aims to understand the effectiveness and safety of these new personalized lung cancer treatments and the contributions made by concomitant medicines and other factors to adverse outcomes in the general NZ patient population. A substudy aimed to validate national electronic health databases as the data source and the methods for determining patient eligibility and identifying outcomes and variables. This study will include all NZ patients with advanced EGFR mutation-positive lung cancer who were first dispensed erlotinib or gefitinib before October 1, 2020, and followed until death or for at least 1 year. Routinely collected health administrative and clinical data will be collated from national electronic cancer registration, hospital discharge, mortality registration, and pharmaceutical dispensing databases by deterministic data linkage using National Health Index numbers. The primary effectiveness and safety outcomes will be time to treatment discontinuation and serious adverse events, respectively. The primary variable will be high-risk concomitant medicines use with erlotinib or gefitinib. For the validation substudy (n=100), data from clinical records were compared to those from national electronic health databases and analyzed by agreement analysis for categorical data and by paired 2-tailed t tests for numerical data. In the validation substudy, national electronic health databases and clinical records agreed in determining patient eligibility and for identifying serious adverse events, high-risk concomitant medicines use, and other categorical data with overall agreement and κ statistic of >90% and >0.8000, respectively; for example, for the determination of patient eligibility, the comparison of proxy and standard eligibility criteria applied to national electronic health databases and clinical records, respectively, showed overall agreement and κ statistic of 96% and 0.8936, respectively. Dates for estimating time to treatment discontinuation and other numerical variables and outcomes showed small differences, mostly with nonsignificant P values and 95% CIs overlapping with zero difference; for example, for the dates of the first dispensing of erlotinib or gefitinib, national electronic health databases and clinical records differed on average by approximately 4 days with a nonsignificant P value of .33 and 95% CIs overlapping with zero difference. As of May 2024, the main study is ongoing. A protocol is presented for a national whole-of-patient-population retrospective cohort study designed to describe the safety and effectiveness of erlotinib and gefitinib during their first decade of routine use in NZ for treating EGFR mutation-positive lung cancer. The validation substudy demonstrated the feasibility and validity of using national electronic health databases and the methods for determining patient eligibility and identifying the study outcomes and variables proposed in the study protocol. Australian New Zealand Clinical Trials Registry ACTRN12615000998549; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368928. DERR1-10.2196/51381.

Sections du résumé

BACKGROUND BACKGROUND
Starting in 2010, the epidermal growth factor receptor (EGFR) kinase inhibitors erlotinib and gefitinib were introduced into routine use in Aotearoa New Zealand (NZ) for treating advanced lung cancer, but their impact in this setting is unknown.
OBJECTIVE OBJECTIVE
The study described in this protocol aims to understand the effectiveness and safety of these new personalized lung cancer treatments and the contributions made by concomitant medicines and other factors to adverse outcomes in the general NZ patient population. A substudy aimed to validate national electronic health databases as the data source and the methods for determining patient eligibility and identifying outcomes and variables.
METHODS METHODS
This study will include all NZ patients with advanced EGFR mutation-positive lung cancer who were first dispensed erlotinib or gefitinib before October 1, 2020, and followed until death or for at least 1 year. Routinely collected health administrative and clinical data will be collated from national electronic cancer registration, hospital discharge, mortality registration, and pharmaceutical dispensing databases by deterministic data linkage using National Health Index numbers. The primary effectiveness and safety outcomes will be time to treatment discontinuation and serious adverse events, respectively. The primary variable will be high-risk concomitant medicines use with erlotinib or gefitinib. For the validation substudy (n=100), data from clinical records were compared to those from national electronic health databases and analyzed by agreement analysis for categorical data and by paired 2-tailed t tests for numerical data.
RESULTS RESULTS
In the validation substudy, national electronic health databases and clinical records agreed in determining patient eligibility and for identifying serious adverse events, high-risk concomitant medicines use, and other categorical data with overall agreement and κ statistic of >90% and >0.8000, respectively; for example, for the determination of patient eligibility, the comparison of proxy and standard eligibility criteria applied to national electronic health databases and clinical records, respectively, showed overall agreement and κ statistic of 96% and 0.8936, respectively. Dates for estimating time to treatment discontinuation and other numerical variables and outcomes showed small differences, mostly with nonsignificant P values and 95% CIs overlapping with zero difference; for example, for the dates of the first dispensing of erlotinib or gefitinib, national electronic health databases and clinical records differed on average by approximately 4 days with a nonsignificant P value of .33 and 95% CIs overlapping with zero difference. As of May 2024, the main study is ongoing.
CONCLUSIONS CONCLUSIONS
A protocol is presented for a national whole-of-patient-population retrospective cohort study designed to describe the safety and effectiveness of erlotinib and gefitinib during their first decade of routine use in NZ for treating EGFR mutation-positive lung cancer. The validation substudy demonstrated the feasibility and validity of using national electronic health databases and the methods for determining patient eligibility and identifying the study outcomes and variables proposed in the study protocol.
TRIAL REGISTRATION BACKGROUND
Australian New Zealand Clinical Trials Registry ACTRN12615000998549; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368928.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/51381.

Identifiants

pubmed: 38954434
pii: v13i1e51381
doi: 10.2196/51381
doi:

Substances chimiques

Erlotinib Hydrochloride DA87705X9K
Gefitinib S65743JHBS
ErbB Receptors EC 2.7.10.1
EGFR protein, human EC 2.7.10.1
Protein Kinase Inhibitors 0
Antineoplastic Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e51381

Informations de copyright

©Phyu Sin Aye, Joanne Barnes, George Laking, Laird Cameron, Malcolm Anderson, Brendan Luey, Stephen Delany, Dean Harris, Blair McLaren, Elliott Brenman, Jayden Wong, Ross Lawrenson, Michael Arendse, Sandar Tin Tin, Mark Elwood, Philip Hope, Mark James McKeage. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 02.07.2024.

Auteurs

Phyu Sin Aye (PS)

Department of Pharmacology and Clinical Pharmacology, University of Auckland, Auckland, New Zealand.

Joanne Barnes (J)

School of Pharmacy, University of Auckland, Auckland, New Zealand.

George Laking (G)

Te Aka Mātauranga Matepukupuku Centre for Cancer Research, University of Auckland, Auckland, New Zealand.

Laird Cameron (L)

Department of Medical Oncology, Te Pūriri o Te Ora Regional Cancer and Blood Service, Te Whatu Ora Health New Zealand, Auckland City Hospital, Auckland, New Zealand.

Malcolm Anderson (M)

Department of Medical Oncology, Te Whatu Ora Health New Zealand Te Pae Hauuora o Ruahine o Tararua, Palmerston North Hospital, Palmerston North, New Zealand.

Brendan Luey (B)

Wellington Blood and Cancer Centre, Te Whatu Ora Health New Zealand Capital, Coast and Hutt Valley, Wellington Hospital, Wellington, New Zealand.

Stephen Delany (S)

Department of Oncology, Te Whatu Ora Health New Zealand Nelson Marlborough, Nelson Hospital, Nelson, New Zealand.

Dean Harris (D)

Oncology Service, Te Whatu Ora - Waitaha Canterbury, Christchurch Hospital, Christchurch, New Zealand.

Blair McLaren (B)

Southern Blood and Cancer Service, Te Whatu Ora Southern, Dunedin Hospital, Dunedin, New Zealand.

Elliott Brenman (E)

Cancer and Haematology Services, Te Whatu Ora Health New Zealand Haora a Toi Bay of Plenty, Tauranga Hospital, Tauranga, New Zealand.

Jayden Wong (J)

Cancer Services, Te Whatu Ora Health New Zealand Waikato, Waikato Hospital, Hamilton, New Zealand.

Ross Lawrenson (R)

Medical Research Centre, University of Waikato, Hamilton, New Zealand.

Michael Arendse (M)

Department of Pathology, Te Whatu Ora Health New Zealand Waikato, Waikato Hospital, Hamilton, New Zealand.

Sandar Tin Tin (S)

Department of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand.

Mark Elwood (M)

Department of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand.

Philip Hope (P)

Lung Foundation New Zealand, Manukau, Auckland, New Zealand.

Mark James McKeage (MJ)

Department of Pharmacology and Clinical Pharmacology, University of Auckland, Auckland, New Zealand.
Department of Medical Oncology, Te Pūriri o Te Ora Regional Cancer and Blood Service, Te Whatu Ora Health New Zealand, Auckland City Hospital, Auckland, New Zealand.
Auckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.

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Classifications MeSH