Evidence map›Paper›PMID 33912853›Full record

ArticleThe Lancet. Microbe2021

Globally diverse

Yasha Ektefaie, Avika Dixit, Luca Freschi, Maha R Farhat

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Microbe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
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  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Molecular epidemiology ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. ChatGPT, GPT-4, and Other Large Language Models: The Next Revolution for Clinical Microbiology?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  18. Phase variation as a major mechanism of adaptation inProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Article
  20. 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

4 authors at 3 institutions in 1 country.

Yasha EktefaieDepartment of BioEngineering, University of California Berkeley, Berkeley, CA, USA.
Avika DixitDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Luca FreschiDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Maha R FarhatDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Harvard University · USBoston Children's Hospital · USUniversity of California, Berkeley · US

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
New Tools for the interpretation of Pathogen Genomic Data with a focus on Mycobacterium tuberculosisK01ES026835 · NIEHS · MASSACHUSETTS GENERAL HOSPITAL · PI FARHAT, MAHA · 2015 to 2019
$1.1M
NHGRI NIH HHS T32 HG002295NIEHS NIH HHS K01 ES026835
6 · The paper itself

Abstract

background

methodsWe did a retrospective analysis of WGS data. We curated a set of clinical

findingsBetween Jan 1, 1987, and Sept 12, 2014, of 10 299

interpretationOur results highlight that both resistance transmission and amplification are contributing to disease burden globally but vary by country. The observation that wealthier nations are more likely to have old resistance (most recent common susceptible ancestor >20 years before isolation) suggests that programmatic improvements can reduce resistance amplification, but that fit resistant strains can circulate for decades subsequently implies the need for continued surveillance.

Indexed as

Mycobacterium tuberculosisTuberculosis, Lymph NodeTuberculosis, Multidrug-ResistantAntitubercular AgentsBayes TheoremDrug Resistance, Multiple, BacterialHumansMicrobial Sensitivity TestsRetrospective StudiesAntitubercular Agents

Identifiers

PMID33912853
PMCPMC8078851
OpenAlexW3122752068

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.