Evidence map›Paper›PMID 31038655›Full record

ArticleJornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia2019

Management and outcomes of severe childhood tuberculosis in the pediatric intensive care setting: can we identify best practices?

Svetlana Velizarova, Natalia Gabrovska, Albena Spasova, Ben Marais, Elizabeth Page Harausz, Simon Tiberi, Giovanni Battista Migliori, Davide Manissero

Abstract readEditorial
In one paragraph

Article in Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia, 2019. 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. Hospitalization for tuberculosis in children and adolescents: clinical, epidemiological characteristics and post-treatment sequelae at a referral center in Brazil.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Observational
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

8 authors.

Svetlana Velizarova. Medical University, Department of Pulmonary Diseases, Hospital for Lung Disease "St. Sofia" - Children's Clinic, Sofia, Bulgaria.ORCID 0000-0002-3347-2798
Natalia Gabrovska. Medical University, Department of Pulmonary Diseases, Hospital for Lung Disease "St. Sofia" - Children's Clinic, Sofia, Bulgaria.ORCID 0000-0001-8321-9814
Albena Spasova. Medical University, Department of Pulmonary Diseases, Hospital for Lung Disease "St. Sofia" - Children's Clinic, Sofia, Bulgaria.ORCID 0000-0002-1603-4630
Ben Marais. Department of Respiratory Medicine, The Children's Hospital at Westmead, Sydney, Australia.ORCID 0000-0003-3404-2690
Elizabeth Page Harausz. State University of New York, Upstate Medical University, Syracuse (NY) USA.ORCID 0000-0001-8117-0607
Simon Tiberi. Barts Health NHS Trust, Royal London Hospital, Division of Infection, London, United Kingdom.ORCID 0000-0001-9424-6551
Giovanni Battista Migliori. Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri - IRCCS - Tradate, Italia.ORCID 0000-0002-2597-574X
Davide Manissero. University College of London, Institute for Global Health, London, United Kingdom.ORCID 0000-0002-8887-8795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Disease ManagementChildCritical CareHumansIntensive Care Units, PediatricSeverity of Illness IndexTuberculosis, Pulmonary

Identifiers

PMID31038655
PMCPMC6733735

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.