Evidence map›Paper›PMID 42404137›Full record

ArticleHealth affairs scholar2026

An evaluation of the US public-private Combating Antibiotic-Resistant Bacteria Accelerator (CARB-X) initiative.

Rena M Conti, Mathew Alexander, Eric J Evans

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. 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

3 authors.

Rena M ContiDepartment of Markets, Public Policy and Law, Questrom School of Business, and Technology Policy and Research Institute, Boston University, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0002-4190-1839
Mathew AlexanderDepartment of Medicine, Johns Hopkins Hospital, Baltimore, MD 21287, USA.ORCID https://orcid.org/0000-0002-8157-3745
Eric J EvansMossavar-Rahmani Center for Business and Government, Harvard Kennedy School, Cambridge, MA 02138, United States.ORCID https://orcid.org/0009-0007-1410-2541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Developing novel antibiotics to replace ineffective existing ones is a priority policy objective. The Combating Antibiotic-Resistant Bacteria Accelerator (CARB-X) is the largest global public-private initiative to advance this goal. The US-based CARB-X has committed over $1 billion US dollars through 2028 to innovators, and provides financial and technical support for the development of novel antibiotics through a competitive request for proposal application process. Methods: We evaluated the outcomes of all applications to CARB-X between the program's inception in 2016 through 2019. Outcomes were evaluated through February 2024 and we used a quasi-experimental design controlling for application quality using multivariate logit regression. Results: We found that 77 applications were funded and 59 applications were not funded. CARB-X-funded projects, controlling for funding score, were more likely to advance in the clinical development phase, but other outcomes were positively but not statistically significantly associated with CARB-X support, compared with unfunded projects. No applications had advanced to regulatory approval or commercial launch. Conclusion: Our results suggest that CARB-X is positively associated with some intermediate project outcomes. Future work should examine later-stage outcomes associated with CARB-X. Evidence-based initiatives are needed to address the threat of antibiotic resistance.

Indexed as

antibiotic resistanceantibioticsinnovationpharmaceuticalspush incentive

Identifiers

PMID42404137
PMCPMC13329664

What OpenQuestion holds

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LicenceCC BY-NC
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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.