Evidence map›Paper›PMID 33362739›Full record

ArticleFrontiers in microbiology2020

High-Throughput Identification of Antibacterials Against

Shijia Li, Pengfei She, Linying Zhou, Xianghai Zeng, Lanlan Xu, Yaqian Liu, Lihua Chen, Yong Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Antimicrobial Resistance: How Can We Overcome the Problem?Antibiotics (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. The Effect of Antimicrobial Peptide (PA-13) onAntibiotics (Basel, Switzerland) · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

8 authors at 1 institution in 1 country.

Shijia LiDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.
Pengfei SheDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.
Linying ZhouDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.
Xianghai ZengDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.
Lanlan XuDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.
Yaqian LiuDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.
Lihua ChenDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.
Yong WuDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance is a growing public health concern, though the constant development of new antibiotics. The combination of high-throughput screening and drug repurposing is an effective way to develop new therapeutic uses of drugs. In this study, we screened a drug library consisting of 1,573 drugs already approved by the Food and Drug Administration and 903 drugs from the natural product library, to identify antimicrobials against

Indexed as

demeclocycline hydrochloridedrug combinationhigh-throughput screeningPseudomonas aeruginosaSAAP-148

Identifiers

PMID33362739
PMCPMC7755642
OpenAlexW3112055416

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.