Evidence map›Paper›PMID 32386426›Full record

ArticleInternational journal of epidemiology2020

Reflection on modern methods: trial emulation in the presence of immortal-time bias. Assessing the benefit of major surgery for elderly lung cancer patients using observational data.

Camille Maringe, Sara Benitez Majano, Aimilia Exarchakou, Matthew Smith, Bernard Rachet, Aurélien Belot, Clémence Leyrat

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 3 pooled it
15.0field-weighted citation impact, top 1% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

128 citing papers in PubMed, 3 syntheses or guidelines pooled it, 173 citations in OpenAlex.

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  5. Effectiveness of treatment initiation for secondary fracture prevention in the older population: Japanese Bone-fracture Osteoporosis in Late-stage population Database study (J-BOLD) - emulation of a randomized target trial.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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68 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Camille MaringeDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Sara Benitez MajanoDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Aimilia ExarchakouDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Matthew SmithDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Bernard RachetDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Aurélien BelotDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Clémence LeyratDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GB

Funding

Cancer Research UK 18525Cancer Research UK 29018Cancer Research UK C7923/A18525
6 · The paper itself

Abstract

Acquiring real-world evidence is crucial to support health policy, but observational studies are prone to serious biases. An approach was recently proposed to overcome confounding and immortal-time biases within the emulated trial framework. This tutorial provides a step-by-step description of the design and analysis of emulated trials, as well as R and Stata code, to facilitate its use in practice. The steps consist in: (i) specifying the target trial and inclusion criteria; (ii) cloning patients; (iii) defining censoring and survival times; (iv) estimating the weights to account for informative censoring introduced by design; and (v) analysing these data. These steps are illustrated with observational data to assess the benefit of surgery among 70-89-year-old patients diagnosed with early-stage lung cancer. Because of the severe unbalance of the patient characteristics between treatment arms (surgery yes/no), a naïve Kaplan-Meier survival analysis of the initial cohort severely overestimated the benefit of surgery on 1-year survival (22% difference), as did a survival analysis of the cloned dataset when informative censoring was ignored (17% difference). By contrast, the estimated weights adequately removed the covariate imbalance. The weighted analysis still showed evidence of a benefit, though smaller (11% difference), of surgery among older lung cancer patients on 1-year survival. Complementing the CERBOT tool, this tutorial explains how to proceed to conduct emulated trials using observational data in the presence of immortal-time bias. The strength of this approach is its transparency and its principles that are easily understandable by non-specialists.

Indexed as

Lung NeoplasmsAgedAged, 80 and overBiasCohort StudiesHumansKaplan-Meier EstimateSurvival Analysiselderlyimmortal-time biasinverse-probability-of-censoring weightinglung cancerObservational datatrial emulation

Identifiers

PMID32386426
PMCPMC7823243
OpenAlexW3022164665

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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 OpenQuestion graph.