Evidence map›Paper›PMID 30559794›Full record

ArticlePakistan journal of medical sciences

The relationship of dyspnea and disease severity with anthropometric indicators of malnutrition among patients with chronic obstructive pulmonary disease.

Mirza Muhammad Ayub Baig, Naheed Hashmat, Muhammad Adnan, Tayyaba Rahat

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. Determinants of Activity Phenotype in Patients with Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2023
    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

4 authors at 2 institutions in 1 country.

Mirza Muhammad Ayub BaigDr. Mirza Muhammad Ayub Baig, FCPS. Assistant Professor of Pulmonology, Department of Pulmonology, Sir Ganga Ram Hospital, Lahore, Pakistan.
Naheed HashmatDr. Naheed Hashmat, FCPS. Associate Professor of Medicine, Department of Medicine, Sir Ganga Ram Hospital, Lahore, Pakistan.
Muhammad AdnanMr. Muhammad Adnan, M.Sc., Research Officer, PHRC Research Center, Fatima Jinnah Medical University, Lahore, Pakistan.
Tayyaba RahatMs. Tayyaba Rahat, M.Phil., Statistical Officer, PHRC Research Center, Fatima Jinnah Medical University, Lahore, Pakistan.
Fatima Jinnah Medical University · PKSir Ganga Ram Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo find the association of dyspnea and disease severity with anthropometric indicators of malnutrition among chronic obstructive pulmonary disease patients.

methodsThe cross-sectional analytical study was carried out at Sir Ganga Ram Hospital, Lahore during October 2013 to December 2014. Total 138 adult patients with severe COPD were enrolled. The severity of disease was measured by global initiative for chronic obstructive lung disease criteria; and dyspnea was assessed by modified medical research council dyspnea scale. Anthropometric indicators of malnutrition such as body mass index (BMI) and mid upper arm circumference (MUAC) were measured to evaluate the nutritional status of COPD patients. Data was analyzed by using Statistical Package for Social Sciences version 20.

resultsThe mean age of 138 patients was 55±3 years. The frequency of male patients (76.8%) was three-times higher than female patients (23.2%). The overall frequency of underweight patients measured by BMI was 44%, which was increased to 92% undernourished patients by using MUAC. When compared with female patients, the male patients showed lower means of BMI, MUAC, FEV

conclusionDyspnea and severity of disease had significant association with BMI and MUAC among COPD patients. Thus, assessment of nutritional status by measuring BMI and MUAC should be considered to predict the severity of disease among adult COPD patients.

Indexed as

Body mass indexChronic obstructive pulmonary diseaseDyspneaMalnutrition

Identifiers

PMID30559794
PMCPMC6290190
OpenAlexW2900297048

What OpenQuestion holds

Textmetadata
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.