Evidence map›Paper›PMID 29460735›Full record

ArticleEmerging infectious diseases2018

Acquired Resistance to Antituberculosis Drugs in England, Wales, and Northern Ireland, 2000-2015.

Miranda G Loutet, Jennifer A Davidson, Tim Brown, Martin Dedicoat, H Lucy Thomas, Maeve K Lalor

Open access · diamondAbstract readHistorical Article
In one paragraph

Article in Emerging infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  10. Acquired Resistance to Antituberculosis Drugs.Emerging infectious diseases · 2018
    Article
  11. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Miranda G Loutet
Jennifer A Davidson
Tim Brown
Martin Dedicoat
H Lucy Thomas
Maeve K Lalor
Heart of England NHS Foundation Trust · GBPublic Health England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among tuberculosis (TB) patients, acquired resistance to anti-TB drugs represents a failure in the treatment pathway. To improve diagnosis and care for patients with drug-resistant TB, we examined the epidemiology and risk factors associated with acquired drug resistance during 2000-2015 among TB patients in England, Wales, and Northern Ireland. We found acquired resistance in 0.2% (158/67,710) of patients with culture-confirmed TB. Using multivariate logistic regression, we identified the following factors associated with acquired drug resistance: having pulmonary disease; initial resistance to isoniazid, rifampin, or both; a previous TB episode; and being born in China or South Africa. Treatment outcomes were worse for patients with than without acquired resistance. Although acquired resistance is rare in the study area, certain patient groups are at higher risk. Identifying these patients and ensuring that adequate resources are available for treatment may prevent acquisition of resistance, thereby limiting transmission of drug-resistant strains of mycobacteria.

Indexed as

AdolescentAdultAntitubercular AgentsDrug Resistance, BacterialEnglandFemaleHistory, 21st CenturyHumansMaleMycobacterium tuberculosisNorthern IrelandRetrospective StudiesTuberculosisTuberculosis, Multidrug-ResistantWalesYoung AdultAntitubercular Agentsacquired resistanceantimicrobial resistancebacteriadrug resistanceEnglandNorthern IrelandTBtuberculosis and other mycobacteriaUnited KingdomWales

Identifiers

PMID29460735
PMCPMC5823342
OpenAlexW2791332747

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.