Evidence map›Paper›PMID 39832513›Full record

ReviewThe Lancet. Infectious diseases2025

A framework towards implementation of sequencing for antimicrobial-resistant and other health-care-associated pathogens.

Alison Laufer Halpin, Amy J Mathers, Timothy R Walsh, Walter Zingg, Iruka N Okeke, L Clifford McDonald, Christopher A Elkins, Stephan Harbarth, Sharon J Peacock, Arjun Srinivasan and 4 more

Abstract readReview
In one paragraph

Review in The Lancet. Infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular Insights into Carbapenem Resistance inInternational journal of molecular sciences · 2026
    Review
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

14 authors.

Alison Laufer HalpinDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA; US Public Health Service, Rockville, MD, USA. Electronic address: alaufer@cdc.gov.
Amy J MathersUniversity of Virginia, Charlottesville, VA, USA.
Timothy R WalshDepartment of Zoology, Ineos Oxford Institute for Antimicrobial Resistance, Oxford, UK.
Walter ZinggDivision of Infectious Diseases and Hospital Hygiene, Universitätsspital Zürich, Zürich, Switzerland.
Iruka N OkekeDepartment of Pharmaceutical Microbiology, University of Ibadan, Ibadan, Nigeria.
L Clifford McDonaldDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Christopher A ElkinsDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Stephan HarbarthHôpitaux Universitaires de Genève, Geneva, Switzerland.
Sharon J PeacockCambridge Biomedical Campus, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Arjun SrinivasanDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Michael BellDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Didier PittetHôpitaux Universitaires de Genève, Geneva, Switzerland.
Denise CardoDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
3rd Geneva Infection Prevention and Control Think Tank

Funding

Intramural CDC HHS CC999999Wellcome Trust
6 · The paper itself

Abstract

Antimicrobial resistance continues to be a growing threat globally, specifically in health-care settings in which antimicrobial-resistant pathogens cause a substantial proportion of health-care-associated infections (HAIs). Next-generation sequencing (NGS) and the analysis of the data produced therein (ie, bioinformatics) represent an opportunity to enhance our capacity to address these threats. The 3rd Geneva Infection Prevention and Control Think Tank brought together experts to identify gaps, propose solutions, and set priorities for the use of NGS for HAIs and antimicrobial-resistant pathogens. The major deliverable recommendation from this meeting was a proposed framework for implementing the sequencing of HAI pathogens, specifically those harbouring antimicrobial-resistance mechanisms. The key components of the proposed framework relate to wet laboratory quality, sequence data quality, database and tool selection, bioinformatic analyses, data sharing, and NGS data integration, to support public health and actions for infection prevention and control. In this Personal View we detail and discuss the framework in the context of global implementation, specifically in low-income and middle-income countries.

Indexed as

Cross InfectionDrug Resistance, BacterialHigh-Throughput Nucleotide SequencingAnti-Bacterial AgentsComputational BiologyHumansInfection ControlAnti-Bacterial Agents

Identifiers

PMID39832513
PMCPMC12771277

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.