Evidence map›Paper›PMID 29540094›Full record

ArticleAmerican journal of men's health2018

Association of Anthropometric Indexes With Disease Severity in Male Patients With Chronic Obstructive Pulmonary Disease in Qazvin, Iran.

Ramin Sami, Raheleh Sadegh, Neda Esmailzadehha, Sanaz Mortazian, Masoomeh Nazem, Mohammadali Zohal

Abstract read
In one paragraph

Article in American journal of men's health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Time-updated resting heart rate predicts mortality in patients with COPD.Clinical research in cardiology : official journal of the German Cardiac Society · 2020
    Article
  4. Article
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.

Ramin Sami1 Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Raheleh Sadegh2 Metabolic Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Neda Esmailzadehha3 School of Health, Iran University of Medical Sciences, Tehran, Iran.
Sanaz Mortazian2 Metabolic Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Masoomeh Nazem2 Metabolic Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Mohammadali Zohal2 Metabolic Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malnutrition is one of the most important factors that lead to lower quality of life in patients suffering from chronic obstructive pulmonary disease (COPD). There are several methods for assessing malnutrition including anthropometric indexes. The aim of this study was to determine the association of anthropometric indexes with disease severity in male patients with COPD in Qazvin, Iran. This cross-sectional study was conducted on 72 male patients with COPD in Qazvin, Iran, from May to December 2014. Spirometry was performed for all participants. Disease severity was determined using the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guideline. Body mass index (BMI), mid-arm muscle circumference (MAMC), and triceps skinfold thickness (TSF) were measured. MAMC and TSF were categorized into three subgroups as <25

Indexed as

AnthropometryAgedBody CompositionBody Mass IndexCross-Sectional StudiesHumansIranMaleMalnutritionMiddle AgedNutritional StatusPrognosisPulmonary Disease, Chronic ObstructiveRisk AssessmentSeverity of Illness Indexbody mass indexChronic obstructive pulmonary diseasemalnutritionobesitythinness

Identifiers

PMID29540094
PMCPMC6131466

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.