Evidence map›Paper›PMID 37202885›Full record

ArticleCombinatorial chemistry & high throughput screening2024

HTNpedia: A Knowledge Base for Hypertension Research.

Lakshmanan Loganathan, Jeyakanthan Jeyaraman, Karthikeyan Muthusamy

Abstract read
PubMed Publisher
In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2024. 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 21% 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, 2 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Lakshmanan LoganathanDepartment of Bioinformatics, Alagappa University, Karaikudi, 630003, Tamil Nadu, India.
Jeyakanthan JeyaramanDepartment of Bioinformatics, Alagappa University, Karaikudi, 630003, Tamil Nadu, India.
Karthikeyan MuthusamyDepartment of Bioinformatics, Alagappa University, Karaikudi, 630003, Tamil Nadu, India.
Alagappa University · IN

Funding

Bioinformatics Institute BT/PR40154/BTIS/137/34/2021Department of Education and Skills SR/FST/LSI-667/2016(C)
6 · The paper itself

Abstract

backgroundHypertension is notably a serious public health concern due to its high prevalence and strong association with cardiovascular disease and renal failure. It is reported to be the fourth leading disease that leads to death worldwide.

objectivesCurrently, there is no active operational knowledge base or database for hypertension or cardiovascular illness.

methodsThe primary data source was retrieved from the research outputs obtained from our laboratory team working on hypertension research. We have presented a preliminary dataset and external links to the public repository for detailed analysis to readers.

resultsAs a result, HTNpedia was created to provide information regarding hypertension-related proteins and genes.

conclusionThe complete webpage is accessible via www.mkarthikeyan.bioinfoau.org/HTNpedia.

Indexed as

HypertensionKnowledge BasesDatabases, FactualHumansdrug moleculesgenesHTNpedia.HypertensionproteinsSNP

Identifiers

PMID37202885
OpenAlexW4377094358

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.