Evidence map›Paper›PMID 34948114›Full record

ReviewInternational journal of molecular sciences2021

Targeting Non-Replicating

Anna Egorova, Elena G Salina, Vadim Makarov

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Target Identification in Anti-Tuberculosis Drug Discovery.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Microorganisms · 2022
    Review
  11. New Drugs and Novel Cellular Targets against Tuberculosis.International journal of molecular sciences · 2022
    Article
  12. Tuberculosis: The success tale of less explored dormantFrontiers in cellular and infection microbiology · 2022
    Review
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

3 authors at 1 institution in 2 countries.

Anna EgorovaThe Federal Research Centre "Fundamentals of Biotechnology" of the Russian Academy of Sciences (Research Center of Biotechnology RAS), 119071 Moscow, Russia.ORCID 0000-0002-6708-2421
Elena G SalinaThe Federal Research Centre "Fundamentals of Biotechnology" of the Russian Academy of Sciences (Research Center of Biotechnology RAS), 119071 Moscow, Russia.ORCID 0000-0001-9616-6598
Vadim MakarovThe Federal Research Centre "Fundamentals of Biotechnology" of the Russian Academy of Sciences (Research Center of Biotechnology RAS), 119071 Moscow, Russia.
Russian Academy of Sciences · RU

Funding

Russian Science Foundation 21-15-00042
6 · The paper itself

Abstract

Latent tuberculosis infection (LTBI) represents a major challenge to curing TB disease. Current guidelines for LTBI management include only three older drugs and their combinations-isoniazid and rifamycins (rifampicin and rifapentine). These available control strategies have little impact on latent TB elimination, and new specific therapeutics are urgently needed. In the present mini-review, we highlight some of the alternatives that may potentially be included in LTBI treatment recommendations and a list of early-stage prospective small molecules that act on drug targets specific for

Indexed as

Drug Therapy, CombinationHumansIsoniazidLatent TuberculosisRifampinIsoniazidRifampinrifapentineanti-TB drugsdormant Mycobacterium tuberculosislatent tuberculosis infectionLTBI treatment

Identifiers

PMID34948114
PMCPMC8707483
OpenAlexW4200240434

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.