Evidence map›Paper›PMID 32348627›Full record

ArticleJournal of thrombosis and haemostasis : JTH2020

Hereditary haemorrhagic telangiectasia: A disease not to be forgotten during the COVID-19 pandemic.

Eleonora Gaetani, Giulio Cesare Passali, Maria E Riccioni, Annalisa Tortora, Roberto Pola, Guido Costamagna, Antonio Gasbarrini, Multidisciplinary Gemelli Group for HHT

Open access · bronzeAbstract readLetterComment
In one paragraph

Article in Journal of thrombosis and haemostasis : JTH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
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  8. Hereditary hemorrhagic telangiectasia and COVID-19.Revista da Sociedade Brasileira de Medicina Tropical · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Eleonora GaetaniDepartment of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore School of Medicine, Rome, Italy.ORCID 0000-0002-7808-1491
Giulio Cesare PassaliDivision of Otorhinolaryngology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore School of Medicine, Rome, Italy.ORCID 0000-0002-8176-0962
Maria E RiccioniDepartment of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore School of Medicine, Rome, Italy.
Annalisa TortoraDepartment of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore School of Medicine, Rome, Italy.
Roberto PolaDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore School of Medicine, Rome, Italy.ORCID 0000-0001-5224-2931
Guido CostamagnaDepartment of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore School of Medicine, Rome, Italy.
Antonio GasbarriniDepartment of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore School of Medicine, Rome, Italy.
Multidisciplinary Gemelli Group for HHT
Università Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralTelangiectasia, Hereditary HemorrhagicVascular DiseasesBetacoronavirusCOVID-19HumansOutcome Assessment, Health CareSARS-CoV-2

Identifiers

PMID32348627
PMCPMC9770823
OpenAlexW3020519538

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.