Evidence map›Paper›PMID 33788117›Full record

ArticleBulletin of experimental biology and medicine2021

Prognostic Model of Prehypertension Risk Based on Molecular Markers.

V V Sherstnev, M A Gruden, A V Kuznetsova, O V Senko

Abstract read
PubMed Publisher
In one paragraph

Article in Bulletin of experimental biology and medicine, 2021. 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, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 3 institutions in 1 country.

V V SherstnevP. K. Anokhin Research Institute of Normal Physiology, Moscow, Russia. sherstnev.vv@yandex.ru.
M A GrudenP. K. Anokhin Research Institute of Normal Physiology, Moscow, Russia.
A V KuznetsovaN. M. Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Moscow, Russia.
O V SenkoA. A. Dorodnicyn Computing Center, Federal Research Center "Informatics and Management", Russian Academy of Sciences, Moscow, Russia.
Institute of Normal Physiology named after P.K. Anokhin · RUDorodnitsyn Computing Centre · RUInstitute of Biochemical Physics NM Emanuel · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic models assessing the risk of prehypertension in coming 1-2-year period for 30-60-year-old subjects were developed with the help of computer recognition technology using 6 recognition methods. These models are based on the content of molecular markers in blood serum and the risk factors for the development of prehypertension in men and women who had "optimal" BP for last 3 years and in patients with newly diagnosed prehypertension. The models were compared for their prediction power. The most effective model was obtained with gradient boosting method based on the content of molecular markers. It is characterized with a high predictive power (ROC AUC=0.76), specificity (96.4%), and overall accuracy (86.6%) accompanied with close relationship between prognosis and actual symptoms of prehypertension (p=0.001).

Indexed as

AdultBiomarkersBlood PressureHumansMiddle AgedPrehypertensionPrognosisBiomarkersmolecular markersprehypertensionprognostic modelsrecognition technologies

Identifiers

PMID33788117
OpenAlexW3145827929

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.