In one paragraphArticle in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Stanislav RodkinResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.ORCID 0000-0003-4036-5410 Maria KaplyaResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.ORCID 0009-0002-7420-085X Sergey GolovinResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.ORCID 0000-0002-1929-6345 Evgeniya KirichenkoResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.ORCID 0000-0003-4703-1616 Chizaram NwosuResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.
Aleksandr LogvinovResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.ORCID 0000-0002-8873-3625 Alina SeredaResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.
Yulia GordeevaResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.ORCID 0009-0003-0888-2861 Aleksandr RomanovResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.ORCID 0009-0001-2820-4406 Stanislav BachurinResearch Laboratory "Medical Digital Images Based on the Basic Model", Department of Bioengineering, Institute of Living Systems, Don State Technical University, Rostov-on-Don 344000, Russia.ORCID 0000-0002-4349-5897 Funding
Russian Science Foundation 25-75-10137
6 · The paper itselfAbstract
Severe traumatic brain injury (TBI) is one of the leading causes of mortality and disability worldwide. To date, there are no clinically effective neuroprotective agents. Biomaterials that combine structural support for damaged tissue with a depot for therapeutic agents may represent a key solution to this problem. To evaluate the neuroprotective potential of a collagen matrix derived from the jellyfish
Indexed as
Brain Injuries, TraumaticCollagenConnexin 43Hydrogen SulfideNeuroprotective AgentsScyphozoaTumor Suppressor Protein p53AnimalsMaleMicePilot ProjectsCollagenConnexin 43Hydrogen SulfideNeuroprotective AgentsTumor Suppressor Protein p53astroglial responsebiomaterialscentral nervous system regenerationcollagen scaffoldconnexin 43 (Cx43)hydrogen sulfide (H2S)molecular dynamics simulationneuroprotectionp53Rhizostoma pulmosodium thiosulfatetraumatic brain injury (TBI)
Identifiers
PMID42278669
PMCPMC13257637
What Socratic holds
Textmetadata
LicenceCC BY
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