Evidence map›Paper›PMID 37755105›Full record

ArticleMarine drugs2023

Study of the Antimicrobial Potential of the

Alexander Lykov, Alexei Salmin, Ruslan Gevorgiz, Svetlana Zheleznova, Lyubov Rachkovskaya, Maria Surovtseva, Olga Poveshchenko

Open access · goldAbstract read
In one paragraph

Article in Marine drugs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
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 at 3 institutions in 1 country.

Alexander LykovNovosibirsk Tuberculosis Research Institute MH RF, Okhotskaya 81 A, Novosibirsk 630040, Russia.ORCID 0000-0003-4897-8676
Alexei SalminNovosibirsk Tuberculosis Research Institute MH RF, Okhotskaya 81 A, Novosibirsk 630040, Russia.ORCID 0009-0009-8323-6513
Ruslan GevorgizKovalevsky Research Institute of Biology of Southern Seas RAS, Nakhimova 2, Sevastopol 299011, Russia.ORCID 0000-0002-8017-5593
Svetlana ZheleznovaKovalevsky Research Institute of Biology of Southern Seas RAS, Nakhimova 2, Sevastopol 299011, Russia.
Lyubov RachkovskayaResearch Institute of Clinical and Experimental Lymphology-Filial of the Institute of Cytology and Genetics, Timakova 2, Novosibirsk 630060, Russia.
Maria SurovtsevaResearch Institute of Clinical and Experimental Lymphology-Filial of the Institute of Cytology and Genetics, Timakova 2, Novosibirsk 630060, Russia.ORCID 0000-0002-4752-988X
Olga PoveshchenkoResearch Institute of Clinical and Experimental Lymphology-Filial of the Institute of Cytology and Genetics, Timakova 2, Novosibirsk 630060, Russia.
Institute of Cytology and Genetics · RUMarine Hydrophysical Institute · RUNovosibirsk Tuberculosis Research Institute · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of diseases brought on by resistant strains of micro-organisms, including tuberculosis, is rising globally as a result of the rapid rise in pathogenic micro-organism resistance to antimicrobial treatments. Secondary metabolites with potential for antibacterial activity are produced by cyanobacteria and microalgae. In this study, gram-positive (

Indexed as

Anti-Bacterial AgentsCyanobacteriaGram-Negative BacteriaGram-Positive BacteriaMicroalgaeMycobacteriumAnimalsChlorophytaMacrophages, PeritonealMiceMicrobial Sensitivity TestsSpirulinaSpleenAnti-Bacterial Agentsantimicrobial potentialcyanobacterdiatomsgram-positive and gram-negative bacteriagreen microalgaemycobacteria

Identifiers

PMID37755105
PMCPMC10532822
OpenAlexW4386781467

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.