Evidence map›Paper›PMID 39088048›Full record

ReviewZeitschrift fur Gerontologie und Geriatrie2024

Detailing the biomedical aspects of geroscience by molecular data and large-scale "deep" bioinformatics analyses.

Andreas Simm, Anne Großkopf, Georg Fuellen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Zeitschrift fur Gerontologie und Geriatrie, 2024. 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 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Andreas SimmClinic for Cardiac Surgery, University Medicine of the Martin-Luther-University Halle-Wittenberg, Ernst-Grube Str. 40, 06120, Halle (Saale), Germany. andreas.simm@uk-halle.de.
Anne GroßkopfClinic for Cardiac Surgery, University Medicine of the Martin-Luther-University Halle-Wittenberg, Ernst-Grube Str. 40, 06120, Halle (Saale), Germany.
Georg FuellenInstitute for Biostatistics and Informatics in Medicine and Ageing Research -- IBIMA, Rostock University Medical Center, Ernst-Heydemann-Str. 8, 18057, Rostock, Germany. fuellen@uni-rostock.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As scientists investigated the molecular mechanisms of the biology of aging, they discovered that these are malleable and can enhance healthy longevity by intervening in the drivers of aging, which are leading to disease, dysfunction and death. These exciting observations gave birth to the field of geroscience. As the mechanisms of aging affect almost all mechanisms of life, detailed molecular mechanistic knowledge must be gained or expanded by considering and integrating as many types of data as possible, from genes and transcripts to socioenvironmental factors. Such a large-scale integration of large amounts of data will in turn profit from "deep" bioinformatics analyses that provide insights beyond contextualizing and interpreting the data in the light of knowledge from databases such as the Gene Ontology. The authors suggest that "deep" bioinformatics, employing methods based on artificial intelligence, will be a key ingredient of future analyses.

Indexed as

Computational BiologyGeriatricsAgedAgingArtificial IntelligenceHumansLongevityArtificial intelligenceBiomarkersHallmarks of AgingHeterogeneityInterventions

Identifiers

What OpenQuestion holds

Textmetadata
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.