Evidence map›Paper›PMID 33467216›Full record

ReviewPathogens (Basel, Switzerland)2021

Epidemiology, Biotic Interactions and Biological Control of Armillarioids in the Northern Hemisphere.

Orsolya Kedves, Danish Shahab, Simang Champramary, Liqiong Chen, Boris Indic, Bettina Bóka, Viktor Dávid Nagy, Csaba Vágvölgyi, László Kredics, György Sipos

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Aerolysin-like proteins fromFrontiers in fungal biology · 2026
    Article
  2. Review
  3. Article
  4. 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

10 authors.

Orsolya KedvesDepartment of Microbiology, Faculty of Science and Informatics, University of Szeged, Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Danish ShahabDepartment of Microbiology, Faculty of Science and Informatics, University of Szeged, Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Simang ChampramaryDepartment of Microbiology, Faculty of Science and Informatics, University of Szeged, Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Liqiong ChenDepartment of Microbiology, Faculty of Science and Informatics, University of Szeged, Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Boris IndicFunctional Genomics and Bioinformatics Group, Research Center for Forestry and Wood Industry, University of Sopron, Bajcsy-Zsilinszky str. 4., H-9400 Sopron, Hungary.
Bettina BókaDepartment of Microbiology, Faculty of Science and Informatics, University of Szeged, Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Viktor Dávid NagyDepartment of Microbiology, Faculty of Science and Informatics, University of Szeged, Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Csaba VágvölgyiDepartment of Microbiology, Faculty of Science and Informatics, University of Szeged, Szeged, Közép fasor 52, H-6726 Szeged, Hungary.ORCID 0000-0003-0009-7773
László KredicsDepartment of Microbiology, Faculty of Science and Informatics, University of Szeged, Szeged, Közép fasor 52, H-6726 Szeged, Hungary.ORCID 0000-0002-8837-3973
György SiposFunctional Genomics and Bioinformatics Group, Research Center for Forestry and Wood Industry, University of Sopron, Bajcsy-Zsilinszky str. 4., H-9400 Sopron, Hungary.ORCID 0000-0002-6666-1384

Funding

Széchenyi 2020 Programme GINOP-2.3.2-15-2016-00052
6 · The paper itself

Abstract

Armillarioids, including the genera

Indexed as

Armillariabiocontrolepidemiologymanagement

Identifiers

PMID33467216
PMCPMC7830283

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.