Analysis of the adequacy of control arms in oncology randomised clinical trials published between 2017 and 2021 : a meta-research study
Copyright © 2023 Elsevier Ltd. All rights reserved..
INTRODUCTION: Randomised controlled trials (RCTs) are usually considered the highest level of evidence for clinical practice. Patients assigned to control arm in RCTs should always receive the best available treatments to protect participants while also allowing for proper interpretation and applicability of study results. Here we analysed RCTs published in oncology between 2017 and 2021 to describe the frequency of suboptimal control arms.
METHODS: We identified phase III studies testing active treatments in patients with solid tumours among 11 major oncology journals. Each control arm was analysed, and the standard of care was determined according to international guidelines and scientific evidence at accrual beginning and until accrual completion. We identified studies with suboptimal control arm from the beginning (type 1) and studies with an initially optimal control arm which became outdated during the accrual period (type 2).
RESULTS: This analysis included 387 studies. Forty-three (11.1%) control arms were judged as suboptimal: 24 (6.2%) type 1 and 19 (4.9%) type 2. These rates were higher in industry-sponsored compared to academic trials: 9.3% versus 1.9% for type 1 (p = 0.003); 7.9% versus 0.6% for type 2 (p = 0.001). Rates of suboptimal control arms were higher in studies with positive results: 8.1% versus 4.0% for type 1 (p = 0.09); 7.6% versus 1.7% for type 2 (p = 0.007).
CONCLUSIONS: Many trials have suboptimal control arms, even in journals with high-impact factors, leading to suboptimal treatment of control patients and biased evaluation of trial results.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:189 |
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| Enthalten in: |
European journal of cancer (Oxford, England : 1990) - 189(2023) vom: 22. Aug., Seite 112920 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Rossi, Alessandro [VerfasserIn] |
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| Links: |
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| Themen: |
Control arm |
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| Anmerkungen: |
Date Completed 17.07.2023 Date Revised 04.12.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ejca.2023.05.008 |
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NLM357792130 |
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| 520 | |a Copyright © 2023 Elsevier Ltd. All rights reserved. | ||
| 520 | |a INTRODUCTION: Randomised controlled trials (RCTs) are usually considered the highest level of evidence for clinical practice. Patients assigned to control arm in RCTs should always receive the best available treatments to protect participants while also allowing for proper interpretation and applicability of study results. Here we analysed RCTs published in oncology between 2017 and 2021 to describe the frequency of suboptimal control arms | ||
| 520 | |a METHODS: We identified phase III studies testing active treatments in patients with solid tumours among 11 major oncology journals. Each control arm was analysed, and the standard of care was determined according to international guidelines and scientific evidence at accrual beginning and until accrual completion. We identified studies with suboptimal control arm from the beginning (type 1) and studies with an initially optimal control arm which became outdated during the accrual period (type 2) | ||
| 520 | |a RESULTS: This analysis included 387 studies. Forty-three (11.1%) control arms were judged as suboptimal: 24 (6.2%) type 1 and 19 (4.9%) type 2. These rates were higher in industry-sponsored compared to academic trials: 9.3% versus 1.9% for type 1 (p = 0.003); 7.9% versus 0.6% for type 2 (p = 0.001). Rates of suboptimal control arms were higher in studies with positive results: 8.1% versus 4.0% for type 1 (p = 0.09); 7.6% versus 1.7% for type 2 (p = 0.007) | ||
| 520 | |a CONCLUSIONS: Many trials have suboptimal control arms, even in journals with high-impact factors, leading to suboptimal treatment of control patients and biased evaluation of trial results | ||
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