Evidence map›Paper›PMID 38766235›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Analysis of time-to-positivity data in tuberculosis treatment studies: Identifying a new limit of quantification.

Suzanne M Dufault, Geraint R Davies, Elin M Svensson, Derek J Sloan, Andrew D McCallum, Anu Patel, Pieter Van Brantegem, Paulo Denti, Patrick P J Phillips

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Suzanne M DufaultDivision of Biostatistics, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-6316-6548
Geraint R DaviesInstitute of Infection and Global Health, University of Liverpool, Liverpool, UK.ORCID 0000-0002-3819-490X
Elin M SvenssonDepartment of Pharmacy, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-0093-6445
Derek J SloanSchool of Medicine, University of St Andrews, St Andrews, United Kingdom.ORCID 0000-0002-7888-5449
Andrew D McCallumDepartment of Infectious Diseases, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.ORCID 0000-0003-0814-3834
Anu PatelDivision of Pulmonary and Critical Care Medicine, University of California, San Francisco, California, USA.ORCID 0000-0003-0628-668X
Pieter Van BrantegemDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA.ORCID 0000-0002-0365-5841
Paulo DentiDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, South Africa.
Patrick P J PhillipsUCSF Center for Tuberculosis, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-6336-7024

Funding

Tuberculosis Research and Mentorship Program (TB RAMP II)R25AI147375 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Fair, PAYAM NAHID · 2020 to 2026
$2.8M
NIAID NIH HHS R25 AI147375
6 · The paper itself

Abstract

The BACTEC Mycobacteria Growth Indicator Tube (MGIT) machine is the standard globally for detecting viable mycobacteria in patients' sputum. Samples are observed for no longer than 42 days, at which point the sample is declared "negative" for tuberculosis (TB). This time to detection of bacterial growth, referred to as time-to-positivity (TTP), is increasingly of interest not solely as a diagnostic tool, but as a continuous biomarker wherein change in TTP over time can be used for comparing the bactericidal activity of different TB treatments. However, as a continuous measure, there are oddities in the distribution of TTP values observed, particularly at higher values. We explored whether there is evidence to suggest setting an upper limit of quantification (ULOQ

Indexed as

clinical trialsearly bactericidal activityMGITtime-to-positivitytuberculosis

Identifiers

PMID38766235
PMCPMC11100935

What OpenQuestion holds

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LicenceCC BY
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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.