Evidence map›Paper›PMID 37283123›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2023

Interaction of

Shuli Guo, Xiandao Luo, Xiaoyu Yin, Yining Yang, Lei Yang

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 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
–field-weighted citation impact, top 98% 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

5 authors at 3 institutions in 1 country.

Shuli GuoSchool of Public Health, Hangzhou Normal University, Hangzhou 311100, China. guoshuli@sina.cn.
Xiandao LuoThe Third Department of Cardiology, Urumqi Friendship Hospital, Urumqi 830049, China. 45399518@qq.com.
Xiaoyu YinSchool of Public Health, Hangzhou Normal University, Hangzhou 311100, China.
Yining YangDepartment of Cardiology, Xinjiang Uygur Autonomous Region People's Hospital, Urumqi 830000, China.
Lei YangSchool of Public Health, Hangzhou Normal University, Hangzhou 311100, China. yanglei62@hznu.edu.cn.
Hangzhou Normal University · CNPeople's Hospital of Xinjiang Uygur Autonomous Region · CNUrumqi General Hospital of PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the interaction of

methodsA total of 205 Uyghur patients with IHF admitted in Urumqi Friendship Hospital from June 2014 to June 2017 were enrolled; 200 age and sex-matched healthy Uyghur physical examiners in the hospital were enrolled as healthy controls. The

resultsPatients were followed up for 3 years, there were 56 cases with poor prognosis (27.32%) and 149 cases with good prognosis (72.68%). Compared with the healthy control group and the good prognosis group, the poor prognosis group had a significantly higher proportion of subjects with alcohol consumption, abnormal alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels as well as lower BMI and left ventricular ejection fraction (all

conclusionsThe

Indexed as

Heart FailureVentricular Function, LeftAlcohol DrinkingBody Mass IndexGene FrequencyGenetic Predisposition to DiseaseGenotypeHSP70 Heat-Shock ProteinsHumansPolymorphism, GeneticPolymorphism, Single NucleotidePrognosisStroke VolumeHSP70 Heat-Shock ProteinsHSPA1B protein, humanAlcohol consumptionBody mass indexHSP70-2 geneInteractionIschemic heart failure

Identifiers

PMID37283123
PMCPMC10407985
OpenAlexW4322724365

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.