Enhancing the Time-to-Positivity Paradigm for Guidance of Antimicrobial Therapy: A Model-Based Approach.

Sowrav Barua, James E Smith, Vincent H Tam, Michael Nikolaou

Abstract read

In one paragraph

Article in Computers & chemical engineering, 2025. 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

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

4 authors.

Sowrav BaruaDepartment of Chemical and Biomolecular Engineering, University of Houston Cullen College of Engineering, Houston, TX 77204.

James E SmithDepartment of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX 77204.

Vincent H TamDepartment of Chemical and Biomolecular Engineering, University of Houston Cullen College of Engineering, Houston, TX 77204.

Michael NikolaouDepartment of Chemical and Biomolecular Engineering, University of Houston Cullen College of Engineering, Houston, TX 77204.

Funding

Personalized Antimicrobial Combinations to Combat ResistanceR01AI140287 · NIAID · UNIVERSITY OF HOUSTON · PI VINCENT H TAM · 2018 to 2026

$5.9M

NIAID NIH HHS R01 AI140287

6 · The paper itself

Abstract

Time to positivity (TTP) is a diagnostic parameter in clinical microbiology that measures the duration required for a blood culture to indicate microbial growth. While TTP is intended to support clinical decisions, its current use is largely empirical. If used at all, TTP is always prior to therapy and informs clinicians of infection severity. Clinicians could then react by adjusting clinical management (e.g., through more frequent monitoring, transfer to intensive care unit (ICU), broader spectrum antibiotics, or highest FDA-approved doses). This practice limits both the effectiveness of TTP and its clinical adoption. To address these limitations, we introduce

Identifiers

PMID41306616

DOI10.1016/j.compchemeng.2025.109325

PMCPMC12646614

What OpenQuestion holds

Textmetadata

LicenceTDM

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.