Evidence map›Paper›PMID 31361123›Full record

ReviewAccounts of chemical research2019

Harnessing Biological Insight to Accelerate Tuberculosis Drug Discovery.

Timothy J de Wet, Digby F Warner, Valerie Mizrahi

Open access · hybridAbstract readReview
In one paragraph

Review in Accounts of chemical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 1 country.

Timothy J de WetSAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit and DST/NRF Centre of Excellence for Biomedical TB Research, Department of Pathology and Institute of Infectious Disease and Molecular Medicine , University of Cape Town , Observatory, Cape Town 7925 , South Africa.
Digby F WarnerSAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit and DST/NRF Centre of Excellence for Biomedical TB Research, Department of Pathology and Institute of Infectious Disease and Molecular Medicine , University of Cape Town , Observatory, Cape Town 7925 , South Africa.
Valerie MizrahiSAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit and DST/NRF Centre of Excellence for Biomedical TB Research, Department of Pathology and Institute of Infectious Disease and Molecular Medicine , University of Cape Town , Observatory, Cape Town 7925 , South Africa.ORCID 0000-0003-4824-9115
South African Medical Research Council · ZA

Funding

Replisome dynamics in M tuberculosis_linking persistence to genetic resistanceU01HD085531 · NICHD · UNIVERSITY OF CAPE TOWN · PI WARNER, DIGBY FRANCIS, WOODGATE, ROGER · 2015 to 2019
$1.1M
Drug permeation and activity in Mycobacterium tuberculosis infected macrophagesR21AI115993 · NIAID · UNIVERSITY OF CAPE TOWN · PI RUSSELL, DAVID G, WARNER, DIGBY FRANCIS · 2015 to 2016
$314k
Howard Hughes Medical InstituteNIAID NIH HHS R21 AI115993NICHD NIH HHS U01 HD085531
6 · The paper itself

Abstract

Tuberculosis (TB) is the leading cause of mortality globally resulting from an infectious disease, killing almost 1.6 million people annually and accounting for approximately 30% of deaths attributed to antimicrobial resistance (AMR). This despite the widespread administration of a neonatal vaccine, and the availability of an effective combination drug therapy against the causative agent,

Indexed as

AnimalsAntitubercular AgentsDrug DiscoveryHumansMycobacterium tuberculosisTuberculosisAntitubercular Agents

Identifiers

PMID31361123
PMCPMC6704484
OpenAlexW2964455403

What OpenQuestion holds

Textmetadata
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.