Evidence map›Paper›PMID 38136275›Full record

ArticleCancers2023

A Comparative Multicenter Cohort Study Evaluating the Long-Term Influence of the Strict Lockdown during the First COVID-19 Wave on Lung Cancer Patients (ARTEMISIA Trial).

Olivier Molinier, Camille Guguen, Marie Marcq, Anne-Laure Chene, Philippe Masson, Frédéric Bigot, Fabrice Denis, Fabienne Empereur, Philippe Saulnier, Thierry Urban

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Olivier MolinierRespiratory Medicine Department, Hospital Center, 194 Avenue Rubillard, CEDEX 9, 72037 Le Mans, France.
Camille GuguenRespiratory Medicine Department, Hospital Center, 194 Avenue Rubillard, CEDEX 9, 72037 Le Mans, France.
Marie MarcqRespiratory Medicine Department, Hospital Center, 85925 La Roche-sur-Yon, France.ORCID 0009-0006-4044-0600
Anne-Laure CheneRespiratory Medicine Department, Thorax Institute, University Hospital Center, University of Nantes, 44093 Nantes, France.
Philippe MassonRespiratory Medicine Department, Hospital Center, 49300 Cholet, France.
Frédéric BigotOncology Department, Western Cancer Institute Paul Papin, 49105 Angers, France.
Fabrice DenisOncology Department, Clinique Victor Hugo, 72000 Le Mans, France.
Fabienne EmpereurRegional Cancer Network ONCOPL, 44093 Nantes, France.
Philippe SaulnierBiostatistics Department, National Institute of Health and Medical Research, University of Angers, 49100 Angers, France.
Thierry UrbanRespiratory Medicine Department, University Hospital Center, 49100 Angers, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The consequences of the strict health restrictions during the first wave of COVID-19 on lung cancer (LC) patients are not known. This cohort study evaluated the impact of the initial lockdown on management of and long-term outcome in LC patients. This exposed-unexposed-type study included two evaluation periods of 6 months each in non-selected patients; one began on the first day of lockdown in 2020, and the other in 2019 during the same calendar period. Various indicators were compared: clinical profiles, management delays and overall survival beyond 2 years. A total of 816 patients from 7 public or private centers were enrolled. The clinical characteristics of the patients in 2020 did not differ from those in 2019, except that the population was older (

Indexed as

COVID-19epidemiologylung neoplasmsquality of healthcarereal-world

Identifiers

PMID38136275
PMCPMC10742265

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Registered trials

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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.