Evidence map›Paper›PMID 36741201›Full record

ArticleInternational journal of physiology, pathophysiology and pharmacology2022

Correlations and diagnostic tools for metabolic syndrome (MetS) and chronic obstructive pulmonary disease (COPD).

Mahshid Bahrami, Khatereh Forouharnejad, Hannaneh Mirgaloyebayat, Nadia Ghasemi Darestani, Mozhgan Ghadimi, Dorna Masaeli, Pooya Fazeli, Hossein Mohammadi, Mahdi Shabani, Mohammad Emami Ardestani

Open access · greenAbstract read
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In one paragraph

Article in International journal of physiology, pathophysiology and pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

10 authors at 2 institutions in 1 country.

Mahshid BahramiDepartment of Radiology, Isfahan University of Medical Sciences Isfahan, Iran.
Khatereh ForouharnejadSchool of Medicine, Islamic Azad University of Najaf Abad Branch Isfahan, Iran.
Hannaneh MirgaloyebayatDepartment of Radiology, Isfahan University of Medical Sciences Isfahan, Iran.
Nadia Ghasemi DarestaniSchool of Medicine, Isfahan University of Medical Sciences Isfahan, Iran.
Mozhgan GhadimiSchool of Medicine, Isfahan University of Medical Sciences Isfahan, Iran.
Dorna MasaeliSchool of Medicine, Isfahan University of Medical Sciences Isfahan, Iran.
Pooya FazeliSchool of Medicine, Isfahan University of Medical Sciences Isfahan, Iran.
Hossein MohammadiSchool of Medicine, Isfahan University of Medical Sciences Isfahan, Iran.
Mahdi ShabaniDepartment of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences Isfahan, Iran.
Mohammad Emami ArdestaniDepartment of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences Isfahan, Iran.
Isfahan University of Medical Sciences · IRIslamic Azad University, Isfahan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRegarding the importance of obesity in patients with chronic obstructive pulmonary disease (COPD), we aimed to evaluate of correlation between metabolic syndrome (MetS) and COPD.

methodsIn this cross-sectional study, 96 patients with COPD were evaluated. This study was conducted in 2016-2018. The severity of COPD was determined by Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2017 criteria. We investigated the correlations between MetS with COPD and possible diagnostic tools.

resultsOf all COPD patients, 86.5% had MetS, and the means of waist circumference, fasting blood glucose, systolic and diastolic blood pressure, body mass index, and triglyceride in patients with MetS were significantly higher than the patients without MetS (P < 0.05). We showed that forced expiratory volume in 1 second (FEV1) with a 37% cutoff had 92.8% and 69.2% sensitivity and specificity, respectively (area of the curve: 0.51, 0.31-0.71).

conclusionMetS is prevalent among COPD and FEV1 could be considered as important diagnostic tool for COPD.

Indexed as

chronic obstructive pulmonary diseaseMetabolic syndrome

Identifiers

PMID36741201
PMCPMC9890204
OpenAlexW4319295221

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.