Evidence map›Paper›PMID 40018547›Full record

ArticleBMJ public health2024

Relationship between diabetes-related clinical characteristics and preserved ratio impaired spirometry (PRISm): findings from NHANES 2007-2012.

Xingyao Tang, Ke Huang, Xu Chu, Yaodie Peng, Tingting Huang, Yanan Cui, Ting Yang, Chen Wang

Abstract read
In one paragraph

Article in BMJ public health, 2024. 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

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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.

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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

8 authors.

Xingyao TangChina-Japan Friendship School of Clinical Medicine, Capital Medical University, Beijing, China.ORCID 0009-0003-6947-5661
Ke HuangNational Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Xu ChuNational Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Yaodie PengNational Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Tingting HuangNational Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Yanan CuiNational Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Ting Yang *National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Chen Wang *National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To analyse the relationship between diabetes, its severity (including blood glucose levels, disease duration, antidiabetic drug use and number of comorbidities) and preserved ratio impaired spirometry (PRISm) using data from the National Health and Nutrition Examination Survey (NHANES). Methods: This cross-sectional study collected data from the NHANES database from 2007 to 2012. PRISm was defined as having a forced expiratory volume in 1 s (FEV1) to forced vital capacity (FVC) ratio ≥0.7 and an FEV1 predicted value <80%. We examined the relationship between diabetes duration, fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), log-transformed homeostasis model assessment for insulin resistance, C reactive protein and the number of comorbidities with PRISm in the entire population. We analysed the relationship between antidiabetic drug use and PRISm, specifically in the diabetes population. Logistic regression models were used, and results were reported as OR. Results: A total of 5783 participants with normal spirometry or PRISm were included in the analysis. Diabetes was associated with 2.19 times higher odds of PRISm compared with non-diabetic participants. Longer disease duration increased PRISm odds by 2% per year. Each 1-unit increase in HbA1c and each 10 mg/dL increase in FPG were associated with 24% and 6% higher odds of PRISm, respectively. No relationship was found between insulin resistance and PRISm after adjusting for covariates. An increase of 1 mg/dL in CRP was associated with 18% higher odds of PRISm. A higher number of diabetes-related comorbidities was strongly associated with PRISm. No significant relationship was found between antidiabetic drug use and PRISm. Conclusions: Severe diabetes status, such as higher blood glucose levels, longer disease duration and a greater number of comorbidities, is associated with an increased risk of PRISm. Effective blood glucose control, self-management and regular monitoring of lung function are crucial for diabetes management.

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Cross-Sectional StudiesPreventive MedicinePublic Healthstatistics and numerical data

Identifiers

PMID40018547
PMCPMC11816400

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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.