ReviewTransactions of the American Clinical and Climatological Association2025
REVOLUTIONIZING TUBERCULOSIS REGIMEN DEVELOPMENT.
Review in Transactions of the American Clinical and Climatological Association, 2025. 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
2 authors.
Funding
Abstract
Today's first-line tuberculosis regimen was developed in the 1950s to 1970s, followed by a long period of stagnation. New drugs have progressed to market only recently, with long timelines from target discovery to clinical trial success, alongside costly Phase 3 failures. Currently, the tuberculosis drug development pipeline is robust, containing multiple new chemical entities from diverse drug classes, motivating us to optimize this opportunity to advance compounds effectively and efficiently. In this article, we explore how recent innovations in data integration and computational methods are revolutionizing tuberculosis drug development, accelerating development timelines, and heightening the probability of success. We anticipate that these breakthroughs will lead to approval of novel drugs in unprecedented time frames, marking a significant milestone in the fight against this age-old disease. This progress is timely, as resistance to even recently registered drugs is emerging rapidly. Our hope is that these strategies will also be of value in other medical fields.
Indexed as
Identifiers
40771631PMC12323450What 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.