Evidence map›Paper›PMID 30400961›Full record

Observational studyBMC research notes2018

The association of

Henry Anselmo Mayala, Khamis Hassan Bakari, Abdalah Mkangala, Mafuru Magesa, Fabian Pius Mghanga, Wang ZhaoHui

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. [Advancement of imaging technology for coronary microcirculation dysfunction assessment].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Review
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

6 authors at 1 institution in 1 country.

Henry Anselmo MayalaDepartment of Cardiology 10th Floor, Wuhan Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, 501 Building, Hankou, Wuhan, 43000, Hubei Province, China. mayalahenry29@gmail.com.ORCID http://orcid.org/0000-0001-9677-2520
Khamis Hassan BakariDepartment of Radiology and Nuclear Medicine, Wuhan Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China.
Abdalah MkangalaDepartment of Radiology and Nuclear Medicine, Wuhan Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China.
Mafuru MagesaDepartment of Clinical Pharmacology, Wuhan Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China.
Fabian Pius MghangaDepartment of Internal Medicine, Archbishop James University College, Songea, Tanzania.
Wang ZhaoHuiDepartment of Cardiology 10th Floor, Wuhan Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, 501 Building, Hankou, Wuhan, 43000, Hubei Province, China.
Wuhan Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study is to evaluate the association between PET/CT CFR and biomarkers combined in confirming the diagnosis of coronary microvascular dysfunction.

resultsA total of 28 patients (21 males and 7 females) were included in this descriptive observational study (both qualitative and quantitative). The mean patient age was 55.50 ± 10.21 years (range 27-70 years) and the median was 56.5 years (range 49-63 years). All patients underwent Echo, CAG and PET/CT scan. Chest tightness was the most common symptom in our study. Most patients had normal blood pressure (n = 18, 64.3%) while only (n = 10, 37.5%) had hypertension, and (n = 1, 3.6%) had diabetes mellitus. The mean HDL in CMVD (n = 25) and non-CMVD (n = 3) were 1.30 ± 0.39 and 1.08 ± 0.95, respectively, indicating that the difference between the groups was statistically significant (p = 0.04). Similarly, the mean HBA1c- (glycated haemoglobin) in CMVD (n = 25) and non-CMVD (n = 3) were 5.6 ± 0.53 and 5.0 ± 0.26, respectively, with (p = 0.03). Our findings managed to show the association between biomarkers and PET/CT CFR in confirming the diagnosis of coronary microvascular dysfunction.

Indexed as

Coronary Artery DiseaseDiabetes MellitusHypertensionPositron Emission Tomography Computed TomographyAgedBiomarkersComorbidityCoronary CirculationFemaleFluorodeoxyglucose F18HumansMaleMicrocirculationMiddle AgedBiomarkersFluorodeoxyglucose F18Brain natriuretic peptide (BNP)Coronary flow reserve (CFR)Coronary microvascular dysfunction (CMVD)Red cell distribution (RDW)

Identifiers

PMID30400961
PMCPMC6219079
OpenAlexW2899554261

What OpenQuestion holds

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LicenceCC BY
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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.