Evidence map›Paper›PMID 31891277›Full record

ArticleThe Journal of international medical research2020

Fractional exhaled nitric oxide and respiratory complaints in Hajj pilgrims wearing a cotton towel or plain cotton ihram.

Sultan Ayoub Meo, Muhammad Iqbal, Abeer Al-Masri, Inam Zia, Sibtain Afzal

Abstract read
In one paragraph

Article in The Journal of international medical research, 2020. 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
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.

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.

Sultan Ayoub MeoDepartment of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0001-9820-1852
Muhammad IqbalDepartment of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Abeer Al-MasriDepartment of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Inam ZiaDepartment of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Sibtain AfzalDepartment of Immunology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHajj is an important component of Islam. This study aimed to determine the effect of wearing a cotton towel or plain cotton ihram on the onset of respiratory symptoms and fractional exhaled nitric oxide (FeNO) levels in Hajj pilgrims.

methodsOne hundred male nonsmoking subjects (age: 20-60 years) without a previous clinical history of respiratory illnesses were included. Fifty subjects were dressed in a cotton towel ihram and 50 wore a plain cotton ihram (control group). Respiratory symptoms and FeNO levels were recorded on the day before leaving for Hajj, when ihrams were removed, and when the pilgrims had returned home.

resultsPilgrims who wore cotton towel ihrams showed significantly higher rates of respiratory symptoms, including being generally ill, coughing, a sore throat, and a runny nose, than those who wore plain ihrams. FeNO levels also tended to be higher in pilgrims who wore a cotton towel ihram compared with those with a plain cotton ihram during and after Hajj.

conclusionsHajj pilgrims who wear cotton towel ihrams may have a risk of respiratory symptoms, including a cough, sore throat, and runny nose. Therefore, a plain cotton ihram is advisable while performing Hajj to minimize respiratory illness.

Indexed as

Nitric OxidePharyngitisAdultCoughHumansIslamMaleMiddle AgedSaudi ArabiaTravelYoung AdultNitric Oxideallergycotton fiberfractional exhaled nitric oxideHajjihrampilgrimrespiratory illness

Identifiers

PMID31891277
PMCPMC7607530

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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.