Evidence map›Paper›PMID 27381535›Full record

ArticleSaudi medical journal2016

Analysis of airway resistance and hypoxemia in overlap syndrome.

He Huang, Lusu Yao

Open access · diamondAbstract read
In one paragraph

Article in Saudi medical journal, 2016. 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 29% 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, 5 citations in OpenAlex.

  1. Review
  2. FFMI: A Pivotal Indicator Bridging Pulmonary, Sleep, and Systemic Factors in COPD-OSA Overlap Patients.International journal of chronic obstructive pulmonary disease · 2025
    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

2 authors at 1 institution in 1 country.

He HuangDepartment of Critical Care Medicine, People's Hospital of Liaocheng, Liaocheng City, Shandong Province, China. E-mail. huangrive@163.com.
Lusu Yao
Liaocheng People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo characterize overlap syndrome, investigate its impact on airflow limitation and blood oxygen condition, and detect the risk factors that affect its airway resistance.

methodsWe reviewed retrospectively the clinical data of 158 patients with overlap syndrome (OS), chronic obstructive pulmonary disease (COPD), and obstructive sleep  apnea (OSA), treated in the Critical Care Medicine Department of the People's Hospital of Liaocheng, Liaocheng, China from May 2014 to March 2015. The lowest and average oxyhemoglobin saturation were measured using polysomnography. The pulmonary functions were tested using the cardiopulmonary measuring instruments, and the viscous resistance at oscillation frequencies of 5, 10, 15, 20 Hz was measured using the impulse oscillation system for all the patients.

resultsThe values of forced expiratory volume (FEV)1/FVC, FEV1% predicted, and the lowest SaO2 in the OS group were significantly lower than those in the OSA (p less than 0.01, p less than 0.01, p=0.01), or the COPD group (p=0.03, p=0.02, p=0.03, but the value of viscous resistance at 5 Hz was significantly higher than that in the 2 groups (p less than 0.01). Old age, body mass index, and smoking history were significantly correlated with the viscous resistance in OS patients, at an oscillation frequency of 5Hz (p=0.03, p=0.04).

conclusionThe OS patients present with higher viscous resistance and more severe oxygen deficit, when compared with OSA and COPD patients, and weight decrease and smoking cessation are necessary for these patients.

Indexed as

Airway ResistanceAdultAgedFemaleForced Expiratory VolumeHumansMaleMiddle AgedOxygenOxygen

Identifiers

PMID27381535
PMCPMC5018639
OpenAlexW2467230189

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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.