Evidence map›Paper›PMID 38125703›Full record

ArticleCardiovascular therapeutics2023

Relationship between

Liang Wang, Xue-Bai Lv, Yu-Ting Yuan, Ning Wang, Hong-Ying Yao, Wen-Chao Zhang, Peng-Fei Yin, Xiao-Hui Liu

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular therapeutics, 2023. 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
0.4field-weighted citation impact, top 31% 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, 2 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

8 authors at 1 institution in 1 country.

Liang WangDepartment of Cardiology, Peking University International Hospital, Beijing 102206, China.ORCID https://orcid.org/0000-0002-0002-2758
Xue-Bai LvThird Medical Center, The General Hospital of the People's Liberation Army, Beijing 100039, China.
Yu-Ting YuanDepartment of Cardiology, Peking University International Hospital, Beijing 102206, China.
Ning WangDepartment of Cardiology, Peking University International Hospital, Beijing 102206, China.
Hong-Ying YaoDepartment of Cardiology, Peking University International Hospital, Beijing 102206, China.
Wen-Chao ZhangDepartment of Cardiology, Peking University International Hospital, Beijing 102206, China.
Peng-Fei YinDepartment of Cardiology, Peking University International Hospital, Beijing 102206, China.
Xiao-Hui LiuDepartment of Cardiology, Peking University International Hospital, Beijing 102206, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the association between Methods: A total of 120 patients with essential hypertension who were not taking drug treatment and were hospitalised in the Department of Cardiology at the authors' hospital from April 2018 to December 2018 were enrolled in this study and divided into a diastolic dysfunction group (65 cases) and a normal diastolic group (55 cases) according to their left ventricular diastolic function. The levels of cardiac parameters, Results: Univariate analysis demonstrated that the left ventricular posterior wall diameter (10.29 ± 1.23 vs. 9.12 ± 1.53), left ventricular systolic dysfunction (10.56 ± 1.37 vs. 9.43 ± 1.44), systolic blood pressure (152.37 ± 10.24 vs. 140.33 ± 5.99), diastolic blood pressure (95.66 ± 6.34 vs. 87.33 ± 7.28), Conclusion: The positive rate of

Indexed as

CardiomyopathiesHypertensionVentricular Dysfunction, LeftAutoantibodiesEssential HypertensionHumansVentricular Function, LeftAutoantibodies

Identifiers

PMID38125703
PMCPMC10733052
OpenAlexW4389656388

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.