Evidence map›Paper›PMID 37371599›Full record

ArticleBiomedicines2023

Development of a Decision Support Tool for Anticoagulation in Critically Ill Patients Admitted for SARS-CoV-2 Infection: The CALT Protocol.

Victoria Dubar, Tiffany Pascreau, Annabelle Dupont, Sylvain Dubucquoi, Anne-Laure Dautigny, Benoit Ghozlan, Benjamin Zuber, François Mellot, Marc Vasse, Sophie Susen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 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
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

12 authors at 5 institutions in 1 country.

Victoria DubarCHU Lille, Pôle de Médecine Intensive-Réanimation, F-59000 Lille, France.
Tiffany PascreauBiology Department, Hôpital Foch, F-92150 Suresnes, France.
Annabelle DupontHemostasis and Transfusion Department, Biology Pathology Center, University Hospital of Lille, F-59000 Lille, France.
Sylvain DubucquoiInstitut d'Immunologie, Pôle de Biologie Pathologie Génétique Médicale, CHU Lille, F-59000 Lille, France.ORCID 0000-0002-8962-3719
Anne-Laure DautignyCHU Lille, Pôle de Médecine Intensive-Réanimation, F-59000 Lille, France.
Benoit GhozlanCHU Lille, Pôle de Médecine Intensive-Réanimation, F-59000 Lille, France.
Benjamin ZuberIntensive Care Unit, Hôpital Foch, F-92150 Suresnes, France.
François MellotRadiology Department, Hôpital Foch, F-92150 Suresnes, France.ORCID 0000-0002-5634-4764
Marc VasseBiology Department, Hôpital Foch, F-92150 Suresnes, France.ORCID 0000-0002-8784-7209
Sophie SusenHemostasis and Transfusion Department, Biology Pathology Center, University Hospital of Lille, F-59000 Lille, France.
Julien PoissyCHU Lille, Pôle de Médecine Intensive-Réanimation, F-59000 Lille, France.
Alexandre GaudetCHU Lille, Pôle de Médecine Intensive-Réanimation, F-59000 Lille, France.
Centre Hospitalier Universitaire de Lille · FRInserm · FRCentre National de la Recherche Scientifique · FRHôpital Foch · FRUniversité de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe COVID-19 infections are at high risk of causing thromboembolic events (TEEs). However, the usual exams may be unavailable or unreliable in predicting the risk of TEEs at admission or during hospitalization. We performed a retrospective analysis of two centers (n = 124 patients) including severe COVID-19 patients to determine the specific risk factors of TEEs in SARS-CoV-2 infection at admission and during stays at the intensive care unit (ICU). We used stepwise regression to create two composite scores in order to predict TEEs in the first 48 h (H0-H48) and during the first 15 days (D1-D15) in ICU. We then evaluated the performance of our scores in our cohort. During the period H0-H48, patients with a TEE diagnosis had higher D-Dimers and ferritin values at day 1 (D1) and day 3 (D3) and a greater drop in fibrinogen between D1 and D3 compared with patients without TEEs. Over the period D1-D15, patients with a diagnosis of a TEE showed a more marked drop in fibrinogen and had higher D-Dimers and lactate dehydrogenase (LDH) values at D1 and D3. Based on ROC analysis, the COVID-related acute lung and deep vein thrombosis (CALT) 1 score, calculated at D1, had a diagnostic performance for TEEs at H0-H48, estimated using an area under the curve (AUC) of 0.85 (CI95%: 0.76-0.93,

Indexed as

anticoagulationCOVID-19immunothrombosisprediction scorepulmonary embolism

Identifiers

PMID37371599
PMCPMC10295063
OpenAlexW4378078428

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.