Evidence map›Paper›PMID 42223242›Full record

ReviewThe Lancet. Infectious diseases2026

Future-proofing tuberculosis therapy: framework for concurrent drug and resistance testing development.

Francesca Saluzzo, Seda Yerlikaya, Susan Elizabeth Dorman, Kathleen Eisenach, Maha Reda Farhat, Nazir Ismail, Christian Lienhardt, Timothy M Walker, Fatima Jones, Ana Yepes and 5 more

Abstract readReview
In one paragraph

Review in The Lancet. Infectious diseases, 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

15 authors.

Francesca SaluzzoVita Salute San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Department of Immunology, Transplantation and Infectious Diseases, Milan, Italy.
Seda YerlikayaDepartment of Infectious Disease and Tropical Medicine, University Hospital Heidelberg, Heidelberg, Germany; German Centre for Infectious Disease Research, DZIF Partner Site Heidelberg, Heidelberg, Germany.
Susan Elizabeth DormanMedical University of South Carolina, Charleston, SC, USA.
Kathleen EisenachTB or NOT TB Consulting, Little Rock, AR, USA.
Maha Reda FarhatDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Nazir IsmailDepartment of Clinical Microbiology and Infectious Diseases, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Christian LienhardtUnité Mixte Internationale TransVIHMI, Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France; Epidemiology and Population Health, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Timothy M WalkerOxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Fatima JonesDivision of AIDS, National Institutes of Health, Rockville, MD, USA.
Ana YepesGlobal Health Medicines Research and Development, GlaxoSmithKline, Madrid, Spain.
Adam Penn-NicholsonFIND, Geneva, Switzerland.
Morten RuhwaldFIND, Geneva, Switzerland.
Bavesh KanaSchool of Pathology, Infectious Diseases and Oncology Research Institute, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Claudia Maria DenkingerHeidelberg University Hospital, INF 324, Heidelberg, Germany.
Daniela Maria CirilloIRCCS San Raffaele Scientific Institute, Department of Immunology, Transplantation and Infectious Diseases, Milan, Italy. Electronic address: cirillo.daniela@hsr.it.

Funding

FEND for TB supplement to accelerate BLINK X developmentU01AI152084 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI ALLAND, DAVID, DORMAN, SUSAN E · 2020 to 2024
$20.0M
An RNA Nanosensor for the Diagnosis of Antibiotic Resistance in M. TuberculosisR01AI176498 · NIAID · HARVARD MEDICAL SCHOOL · PI Maha Farhat · 2023 to 2026
$2.9M
NIAID NIH HHS R01 AI176498NIAID NIH HHS U01 AI152084
6 · The paper itself

Abstract

The rapid emergence of resistance to novel tuberculosis drugs, such as bedaquiline, is a key threat to the long-term effectiveness of novel regimens. Given that the introduction of these agents has enabled the introduction of an all-oral regimen for rifampicin-resistant and multidrug-resistant tuberculosis, the rise of resistance underscores the urgent need to safeguard their efficacy and responsible use. A major barrier is the delay in developing reliable tools to detect resistance to novel compounds, which limits clinical decision-making and surveillance efforts. Herein, we outline a framework for integrating the development of drug susceptibility testing alongside tuberculosis drug development, including early stage resistance profiling and defining appropriate epidemiological cutoff values. We highlight key gaps, including the need for structured partnerships between drug developers, diagnostic manufacturers, regulators, research institutions, funders, and policy makers. We propose a roadmap to accelerate drug susceptibility testing and development of new tuberculosis regimens, ensuring that resistance detection maintains pace with the introduction of novel drugs. Establishing collaborative platforms for data sharing, genomic analysis, and diagnostic innovation will help ensure that resistance detection evolves in step with drug development, thereby preserving novel treatments and improving global tuberculosis care.

Indexed as

Antitubercular AgentsDrug DevelopmentMycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantDrug Resistance, BacterialHumansMicrobial Sensitivity TestsAntitubercular Agents

Identifiers

PMID42223242
PMCPMC13325965

What Socratic 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 Socratic graph.