Evidence map›Paper›PMID 39296291›Full record

ArticleFrontiers in microbiology2024

Antagonism of rhizosphere

Li Tian, Xinyu Zhu, Yingqiu Guo, Qianjun Zhou, Lili Wang, Wankui Li

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Journal of fungi (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. 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

6 authors.

Li Tian *Key Laboratory of New Resources and Quality Evaluation of Traditional Chinese Medicine State Administration of Traditional Chinese Medicine, Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xinyu Zhu *Key Laboratory of New Resources and Quality Evaluation of Traditional Chinese Medicine State Administration of Traditional Chinese Medicine, Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yingqiu GuoKey Laboratory of New Resources and Quality Evaluation of Traditional Chinese Medicine State Administration of Traditional Chinese Medicine, Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Qianjun ZhouKey Laboratory of New Resources and Quality Evaluation of Traditional Chinese Medicine State Administration of Traditional Chinese Medicine, Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lili WangKey Laboratory of New Resources and Quality Evaluation of Traditional Chinese Medicine State Administration of Traditional Chinese Medicine, Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Wankui LiKey Laboratory of New Resources and Quality Evaluation of Traditional Chinese Medicine State Administration of Traditional Chinese Medicine, Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Corm rot in saffron ( Methods: This study aimed to isolate an effective antagonistic fungus against the pathogenic fungi causing corm rot in saffron. Four pathogenic fungi ( Results: Antagonistic fungi were identified as Discussion:

Indexed as

antagonistic activitybiological controlPGPRrhizospheresaffronTrichoderma brevicompactum

Identifiers

PMID39296291
PMCPMC11408206

What OpenQuestion holds

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LicenceCC BY
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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.