Evidence map›Paper›PMID 37220893›Full record

Trial reportJournal of the National Cancer Institute2023

Target trial emulation to assess real-world efficacy in the Epidemiological Strategy and Medical Economics metastatic breast cancer cohort.

Alison Antoine, David Pérol, Mathieu Robain, Suzette Delaloge, Christine Lasset, Youenn Drouet

Registry-linked trialOpen access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03275311 (Epidemiological Strategy and Medical Economic), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03275311 recruitingnot on this map

Epidemiological Strategy and Medical Economic (ESME) Research Program / Academic Real World Database: Evolution of the Therapeutic Care in Metastatic Breast Cancer Across the French Comprehensive Cancer Centers From 2008

TypeobservationalSponsorUNICANCERRan2014 to 2027Enrolled42,000ConditionsMetastatic Breast Cancer
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Alison AntoineClinical Research and Biostatistics Department, Centre Léon Bérard, Lyon, France.ORCID 0000-0001-5597-5313
David PérolClinical Research and Biostatistics Department, Centre Léon Bérard, Lyon, France.ORCID 0000-0002-6429-7419
Mathieu RobainData Direction, UNICANCER, Paris, France.
Suzette DelalogeDepartment of Cancer Medicine, Gustave Roussy, Villejuif, France.ORCID 0000-0003-2106-9165
Christine LassetUMR CNRS 5558 LBBE, Claude Bernard Lyon 1 University, Villeurbanne, France.ORCID 0000-0002-8052-5880
Youenn DrouetUMR CNRS 5558 LBBE, Claude Bernard Lyon 1 University, Villeurbanne, France.
Université Claude Bernard Lyon 1 · FRCentre Léon Bérard · FRInstitut Gustave Roussy · FRUniCancer Group · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReal-world data studies usually consider biases related to measured confounders. We emulate a target trial implementing study design principles of randomized trials to observational studies; controlling biases related to selection, especially immortal time; and measured confounders.

methodsThis comprehensive analysis emulating a randomized clinical trial compared overall survival in patients with HER2-negative metastatic breast cancer (MBC), receiving as first-line treatment, either paclitaxel alone or combined to bevacizumab. We used data from 5538 patients extracted from the Epidemiological Strategy and Medical Economics-MBC cohort to emulate a target trial using advanced statistical adjustment techniques including stabilized inverse-probability weighting and G-computation, dealing with missing data with multiple imputation, and performing a quantitative bias analysis for residual bias due to unmeasured confounders.

resultsEmulation led to 3211 eligible patients, and overall survival estimates achieved with advanced statistical methods favored the combination therapy. Real-world effect sizes were close to that assessed in the existing E2100 randomized clinical trial (hazard ratio = 0.88, P = .16), but the increased sample size allowed to achieve a higher level of precision in real-world estimates (ie, reduced confidence intervals). Quantitative bias analysis confirmed the robustness of the results with respect to potential unmeasured confounding.

conclusionTarget trial emulation with advanced statistical adjustment techniques is a promising approach to investigate long-term impact of innovative therapies in the French Epidemiological Strategy and Medical Economics-MBC cohort while minimizing biases and provides opportunities for comparative efficacy through the synthetic control arms provided. DATABASE REGISTRATION: clinicaltrials.gov Identifier NCT03275311.

Indexed as

Breast NeoplasmsBevacizumabCombined Modality TherapyErb-b2 Receptor Tyrosine KinasesFemaleHumansPaclitaxelBevacizumabErb-b2 Receptor Tyrosine KinasesPaclitaxel

Identifiers

PMID37220893
PMCPMC10407701
OpenAlexW4377694292

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.