Evidence map›Paper›PMID 36037003›Full record

ArticleDisease models & mechanisms2022

Modelling infectious disease to support human health.

David M Tobin

Open access · goldAbstract readEditorial
In one paragraph

Article in Disease models & mechanisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Impactful in disease research: a DMM year in review.Disease models & mechanisms · 2023
    Article
  6. 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

1 author at 1 institution in 1 country.

David M TobinDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0003-3465-5518
Duke University · US

Funding

Macrophage Reprogramming During Granuloma Formation in the ZebrafishR01AI130236 · NIAID · DUKE UNIVERSITY · PI David M. Tobin · 2017 to 2026
$4.5M
Genetic dissection of angiogenesis in the tuberculous granulomaR01AI125517 · NIAID · DUKE UNIVERSITY · PI David M. Tobin · 2017 to 2026
$4.4M
Linking Human TB Genetic Susceptibility Loci to Granuloma BiologyR01AI166304 · NIAID · DUKE UNIVERSITY · PI David M. Tobin · 2022 to 2026
$3.4M
The Genetic Basis of Bone Disease in Mycobacterial InfectionR01AI127715 · NIAID · DUKE UNIVERSITY · PI Clare Margaret Smith, David M. Tobin · 2017 to 2026
$3.3M
NIAID NIH HHS R01 AI125517NIAID NIH HHS R01 AI127715NIAID NIH HHS R01 AI130236NIAID NIH HHS R01 AI166304
6 · The paper itself

Abstract

During the current COVID-19 pandemic, there has been renewed scientific and public focus on understanding the pathogenesis of infectious diseases and investigating vaccines and therapies to combat them. In addition to the tragic toll of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), we also recognize increased threats from antibiotic-resistant bacterial strains, the effects of climate change on the prevalence and spread of human pathogens, and the recalcitrance of other infectious diseases - including tuberculosis, malaria, human immunodeficiency virus (HIV) and fungal infections - that continue to cause millions of deaths annually. Large amounts of funding have rightly been redirected toward vaccine development and clinical trials for COVID-19, but we must continue to pursue fundamental and translational research on other pathogens and host immunity. Now more than ever, we need to support the next generation of researchers to develop and utilize models of infectious disease that serve as engines of discovery, innovation and therapy.

Indexed as

Communicable DiseasesCOVID-19TuberculosisHumansPandemicsSARS-CoV-2

Identifiers

PMID36037003
PMCPMC9459390
OpenAlexW4293462326

What OpenQuestion 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 OpenQuestion graph.