Evidence map›Paper›PMID 39660255›Full record

ArticleNAR genomics and bioinformatics2024

TGV: suite of tools to visualize transmission graphs.

Jody E Phelan, Fatima Niazi, Linfeng Wang, Gabrielle C Ngwana-Joseph, Benjamin Sobkowiak, Ted Cohen, Susana Campino, Taane G Clark

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NAR genomics and bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Jody E PhelanDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK.ORCID https://orcid.org/0000-0001-8323-7019
Fatima NiaziUniversity College London Hospitals NHS Foundation Trust, Eastman Dental Hospital, Huntley Street, London, WC1E 6DG, UK.
Linfeng WangDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK.
Gabrielle C Ngwana-JosephDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK.
Benjamin SobkowiakDepartment of Epidemiology of Microbial Disease, Yale School of Public Health, 60 College St, New Haven, CT 06510, USA.
Ted CohenDepartment of Epidemiology of Microbial Disease, Yale School of Public Health, 60 College St, New Haven, CT 06510, USA.
Susana CampinoDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK.ORCID https://orcid.org/0000-0003-1403-6138
Taane G ClarkDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK.ORCID https://orcid.org/0000-0001-8985-9265

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Graph structures are often used to visualize transmission networks generated using genomic epidemiological methods. However, tools to interactively visualize these graphs do not exist. A browser-based tool allowing users to load and interactively visualize transmission graphs was developed in JavaScript. Associated metadata can be loaded and used to annotate and filter the nodes and edges of transmission networks. The tool is available at jodyphelan.github.io/tgv.

Identifiers

PMID39660255
PMCPMC11630274

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.