Evidence map›Paper›PMID 34209087›Full record

ArticleJournal of clinical medicine2021

Evaluation of Strategies to Fight COVID-19: The French Paradigm.

Audrey Giraud-Gatineau, Philippe Gautret, Philippe Colson, Hervé Chaudet, Didier Raoult

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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. A reflection on health and disease amid COVID-19 pandemic.Journal of evaluation in clinical practice · 2022
    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

5 authors.

Audrey Giraud-GatineauIHU Méditerranée Infection, 13005 Marseille, France.
Philippe GautretIHU Méditerranée Infection, 13005 Marseille, France.
Philippe ColsonIHU Méditerranée Infection, 13005 Marseille, France.ORCID 0000-0001-6285-0308
Hervé ChaudetIHU Méditerranée Infection, 13005 Marseille, France.
Didier RaoultIHU Méditerranée Infection, 13005 Marseille, France.

Funding

Agence Nationale de la Recherche Méditerranée-Infection 10-IAHU-03European Regional Development Fund FEDER PRIMMI
6 · The paper itself

Abstract

(1) Background: We collected COVID-19 mortality data and the age distribution of the deceased in France and other European countries, as well as specifically in the cities of Paris and Marseille, and compared them. (2) Methods: Data on mortality related to COVID-19 and the associated age distribution were collected from government institutions in various European countries. In France, data were obtained from INSEE and Santé Publique France. All-cause mortality was also examined in order to study potential excess mortality using EuroMOMO. The Marseille data came from the epidemiological surveillance system. (3) Results: France is one of the European countries most impacted by COVID-19. Its proportion of deaths in people under 60 years of age is higher (6.5%) than that of Italy (4.6%) or Spain (4.7%). Excess mortality (5% more deaths) was also observed. Ile-de-France and the Grand-Est are the two French regions with the highest mortality. The proportion of deaths in the under-60 age group was considerable in Ile-de-France (9.9% vs. 4.5% in the Southern region). There are significantly higher numbers of patients hospitalized, in intensive care and deceased in Paris than in Marseille. (4) Conclusions: No patient management, i.e., from screening to diagnosis, including biological assessment and clinical examination, likely explains the high mortality associated with COVID-19.

Indexed as

COVID-19deathsFranceMarseilleParisSARS-CoV-2

Identifiers

PMID34209087
PMCPMC8268313

What OpenQuestion holds

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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.