ReviewExpert review of respiratory medicine2026
Review in Expert review of respiratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
introductionTuberculosis (TB), caused by AREAS COVERED: Imaging technologies that can quantify viability and infectious load can have a profound impact on progress toward new therapeutics and vaccines and allow rapid diagnosis. Although imaging can quantify bacterial loads throughout an entire animal in real-time, sensitivity is a key limitation. Fluorescent and bioluminescent recombinant strains have been used within the TB field and in other bacteria but have a threshold of ~10 EXPERT OPINION: Recombinant reporter systems for imaging bacteria should continue to improve and may reach similar thresholds, but at present, REF remains the most sensitive approach. Furthermore, new more sensitive probes can be readily developed, suggesting that REF will ultimately allow detection of single bacteria in an infected host.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.