Evidence map›Paper›PMID 35011959›Full record

ArticleJournal of clinical medicine2021

Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer.

Egidio Imbalzano, Luana Orlando, Angela Sciacqua, Giuseppe Nato, Francesco Dentali, Veronica Nassisi, Vincenzo Russo, Giuseppe Camporese, Gianluca Bagnato, Arrigo F G Cicero and 5 more

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Editorial: Unusual Clinical Presentation of COVID-19.Journal of clinical medicine · 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

15 authors.

Egidio ImbalzanoDepartment of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.ORCID 0000-0003-2656-5467
Luana OrlandoDepartment of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.
Angela SciacquaDepartment of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Giuseppe NatoDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.
Francesco DentaliDepartment of Medicine and Surgery, Insubria University, 21100 Varese, Italy.
Veronica NassisiDepartment of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.ORCID 0000-0003-1003-8179
Vincenzo RussoDepartment of Medical Translational Sciences, Division of Cardiology, Monaldi Hospital, University of Campania "Luigi Vanvitelli", 80100 Naples, Italy.ORCID 0000-0002-9227-0360
Giuseppe CamporeseUnit of Angiology, Department of Cardiac, Thoracic and Vascular Sciences, Padua University Hospital, 35100 Padua, Italy.ORCID 0000-0002-0881-5429
Gianluca BagnatoDepartment of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.
Arrigo F G CiceroIRCCS Policlinico S. Orsola-Malpighi, Hypertension and Cardiovascular Risk Research Center, DIMEC, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0002-4367-3884
Giuseppe DattiloDepartment of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.
Marco VatranoUTIC and Cardiology, Hospital "Pugliese-Ciaccio" of Catanzaro, 88100 Catanzaro, Italy.
Antonio Giovanni VersaceDepartment of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.
Giovanni SquadritoDepartment of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.
Pierpaolo Di MiccoDepartment of Medicine, BuonconsiglioFatebenefratelli Hospital, 80100 Naples, Italy.ORCID 0000-0002-8484-4598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To realize a machine learning (ML) model to estimate the dose of low molecular weight heparin to be administered, preventing thromboembolism events in COVID-19 patients with active cancer.

Indexed as

anticoagulationartificial intelligenceheparinmachine-learningSARS-CoV-2

Identifiers

PMID35011959
PMCPMC8746167

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.