Evidence map›Paper›PMID 38189285›Full record

ArticleJournal of virology2024

Characterization of phage evolution and phage resistance in drug-resistant

Pengjun Han, Wei Lin, Huahao Fan, Yigang Tong

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.6field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. [Research on Bacteriophage Resistance: Coevolutionary Arms Race Between Bacteria and Phages Drives Novel Antibacterial Therapies].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Isolation, characterization and therapeutic evaluation of phage HHU1 against K2Frontiers in cellular and infection microbiology · 2025
    Article
  9. Article
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

4 authors at 1 institution in 1 country.

Pengjun HanCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Wei LinCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Huahao FanCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0001-5007-2158
Yigang TongCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0002-8503-8045
Beijing University of Chemical Technology · CN

Funding

Innovation and Transfer Fund of Peking University Third Hospital BYSYZHKC2022114Military Biosecurity Research Program 19SWAQ06The National Key Research and Development Program of China; Funds for First-Class Discipline Construction 2021YFA0911200; XK1805; XK1803
6 · The paper itself

Abstract

Phage therapy has become a viable antimicrobial treatment as an alternative to antibiotic treatment, with an increase in antibiotic resistance. Phage resistance is a major limitation in the therapeutic application of phages, and the lack of understanding of the dynamic changes between bacteria and phages constrains our response strategies to phage resistance. In this study, we investigated the changing trends of mutual resistance between

Indexed as

BacteriophagesStenotrophomonas maltophiliaAnimalsAnti-Bacterial AgentsBiological EvolutionDrug Resistance, BacterialMiceMutationAnti-Bacterial Agentsbacteriophage BUCT603B1evolutionphage resistancephage therapyStenotrophomonas maltophilia

Identifiers

PMID38189285
PMCPMC10878236
OpenAlexW4390662574

What OpenQuestion holds

Textmetadata
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.