Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 158

The DOI matches its Crossref record.

Factors Related to the Nocturnal Worsening of Asthma

Martin, Richard J., Cicutto, Lisa C., Ballard, Robert D.·1990·American Review of Respiratory Disease

Abstract

The nocturnal worsening of asthma is a very common problem, yet little is known about the relationships between the nocturnal worsening and daytime lung function, methacholine bronchial responsiveness, the degree of the circadian variability in bronchial responsivity, and the nocturnal sleep pattern. This study demonstrates in 20 asthmatic patients that the overnight fall in the peak expiratory flow rates (PEFR) is related to the severity of daytime airflow limitation (r = 0.73, p less than 0.001) and daytime bronchial responsiveness (r = 0.48, p less than 0.05). In individuals with larger overnight decrements in PEFR, bronchial responsivity at 0400 h is so great that normal saline inhalation alone can produce a greater than 20% fall in the FEV1. Sleep quality and sleep staging are not correlated to the change in the PEFR. Thus, the overnight decrement in asthmatic lung function is related to the daytime severity of asthma as determined by daytime measurements of airflow limitation and bronchial responsiveness as well as the circadian variation in bronchial responsivity.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1164/ajrccm/141.1.33

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 158

Metadata

Authors
Martin, R. J., Cicutto, L. C., & Ballard, R. D.
Venue
American Review of Respiratory Disease
Published
1990-01
Volume
141
Issue
1
Pages
33-38
ISSN
0003-0805 (ISSN-L)
OpenAlex
W2124526051
Cited by
158
References
0
FWCI
8.95
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Factors Related to the Nocturnal Worsening of Asthma. https://app.cochat.ai/papers/10.1164/ajrccm/141.1.33
The paper
Martin, R. J., Cicutto, L. C., & Ballard, R. D. (1990). Factors Related to the Nocturnal Worsening of Asthma. American Review of Respiratory Disease. https://doi.org/10.1164/ajrccm/141.1.33

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.