Evidence map›Paper›PMID 31358585›Full record

ArticleAntimicrobial agents and chemotherapy2019

Model-Based Relationship between the Molecular Bacterial Load Assay and Time to Positivity in Liquid Culture.

Robin J Svensson, Wilber Sabiiti, Gibson S Kibiki, Nyanda E Ntinginya, Nilesh Bhatt, Geraint Davies, Stephen H Gillespie, Ulrika S H Simonsson

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Storage ofAfrican journal of laboratory medicine · 2023
    Article
  3. Review
  4. Perspectives for systems biology in the management of tuberculosis.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  5. Resistance-Conferring Mycobacterial Mutations and Quantification of Early Bactericidal Activity.American journal of respiratory and critical care medicine · 2021
    Article
  6. 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

8 authors.

Robin J SvenssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Wilber SabiitiThe School of Medicine, University of St. Andrews, St. Andrews, United Kingdom.
Gibson S KibikiEast African Health Research Commission, Arusha, Tanzania.
Nyanda E NtinginyaNIMR-Mbeya Medical Research Centre, Mbeya, Tanzania.
Nilesh BhattInstituto Nacional de Saúde (INS), Ministério da Saúde, Maputo, Mozambique.
Geraint DaviesDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, United Kingdom.
Stephen H GillespieThe School of Medicine, University of St. Andrews, St. Andrews, United Kingdom.
Ulrika S H SimonssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden ulrika.simonsson@farmbio.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular bacterial load (MBL) assay is a new tuberculosis biomarker which provides results in ∼4 hours. The relationship between MBL and time-to-positivity (TTP) has not been thoroughly studied, and predictive models do not exist. We aimed to develop a model for MBL and identify the MBL-TTP relationship in patients. The model was developed on data from 105 tuberculosis patients from Malawi, Mozambique, and Tanzania with joint MBL and TTP observations quantified from patient sputum collected for 12 weeks. MBL was quantified using PCR of mycobacterial RNA and TTP using the mycobacterial growth indicator tube (MGIT) 960 system. Treatment consisted of isoniazid, pyrazinamide, and ethambutol in standard doses together with rifampin 10 or 35 mg/kg of body weight. The developed MBL-TTP model included several linked submodels, a component describing decline of bacterial load in sputum, another component describing growth in liquid culture, and a hazard model translating bacterial growth into a TTP signal. Additional components for contaminated and negative TTP samples were included. Visual predictive checks performed using the developed model gave good description of the observed data. The model predicted greater total sample loss for TTP than MBL due to contamination and negative samples. The model detected an increase in bacterial killing for 35 versus 10 mg/kg rifampin (

Indexed as

Biological AssayModels, StatisticalAntitubercular AgentsBacterial LoadBiomarkers, PharmacologicalComputer SimulationDNA, BacterialDrug Dosage CalculationsDrug MonitoringEthambutolFemaleHumansIsoniazidMalawiMaleMozambiqueAntitubercular AgentsBiomarkers, PharmacologicalDNA, BacterialEthambutolIsoniazidPyrazinamideRifampinbiomarkermathematical modelingMycobacterium tuberculosispharmacodynamicspharmacometricstuberculosis

Identifiers

PMID31358585
PMCPMC6761543

What OpenQuestion holds

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Registered trials

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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.