Evidence map›Paper›PMID 42206067›Full record

ArticleInfectious medicine2026

Next-generation sequencing: Driving a paradigm shift from pathogen detection to systems-level analysis.

Yu Peng, Yupu Wang, Liwen Liu, Yanyue Liu, Yan Yu, Ranran Sun, Zujiang Yu

Abstract read
In one paragraph

Article in Infectious 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.

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

7 authors.

Yu PengDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Yupu WangDepartment of Rehabilitation, Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou 450052, China.
Liwen LiuDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Yanyue LiuPrecision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Yan YuPrecision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Ranran SunDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Zujiang YuDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of advanced molecular technologies, particularly the widespread use of next-generation sequencing (NGS), has revolutionized the life sciences research landscape. NGS, characterized by high throughput, specificity, and sensitivity, offers a superior alternative to traditional detection methods, particularly in the context of viral pandemics and emerging infectious diseases. It has proven indispensable not only in identifying novel therapeutic targets but also in monitoring viral resistance. This review provides a comprehensive analysis of NGS applications in infectious diseases and pathogenic microorganisms, with an emphasis on its role in rapid pathogen detection, accurate identification, interspecies transmission tracking, and resistance profiling. Through the integration of these insights, the review offers a forward-looking perspective on emerging trends and challenges, highlighting the transformative impact of these technologies on the understanding and management of infectious diseases.

Indexed as

Advanced molecular technologyInfectious diseaseNext-generation sequencingPathogenic microorganism

Identifiers

PMID42206067
PMCPMC13202549

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.