Evidence map›Paper›PMID 24718679›Full record

ArticlePloS one2014

Poor lung function has inverse relationship with microalbuminuria, an early surrogate marker of kidney damage and atherosclerosis: the 5th Korea National Health and Nutrition Examination Survey.

Jin-Ha Yoon, Jong-Uk Won, Yeon-Soon Ahn, Jaehoon Roh

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Lung Function and Incident Kidney Disease: The Atherosclerosis Risk in Communities (ARIC) Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Obstructive and Restrictive Lung Function Measures and CKD: National Health and Nutrition Examination Survey (NHANES) 2007-2012.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2016
    Article
  20. 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

4 authors.

Jin-Ha YoonThe Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea; Department of Preventive Medicine and Public Health, Yonsei University College of Medicine, Seoul, Korea; Graduate School of Public Health, Yonsei University College of Medicine, Seoul, Korea.
Jong-Uk WonThe Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea; Department of Preventive Medicine and Public Health, Yonsei University College of Medicine, Seoul, Korea; Graduate School of Public Health, Yonsei University College of Medicine, Seoul, Korea.
Yeon-Soon AhnDepartment of Occupational and Environmental Medicine, Dongguk University Ilsan Hospital, Goyang, Korea.
Jaehoon RohThe Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea; Department of Preventive Medicine and Public Health, Yonsei University College of Medicine, Seoul, Korea; Graduate School of Public Health, Yonsei University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite epidemiological evidences of relationship between poor lung function and atherosclerosis, the relationship between poor lung function and microalbuminuria (MAU), an early surrogate marker of both kidney damage and atherosclerosis, is not well understood. Hence, we plan to investigate the relationship between poor lung function and MAU using multivariate models to adjust for other atherogenic risk factors.

methodsWe used data from the 5th Korean National Health and Nutrition Examination Survey. Poor lung function is determined by spirometric measurement, primarily through estimation of the forced vital capacity (FVC) and forced expiratory volume in 1 second (FEV1). Declines in the percent predicted FVC (<80%) and in the FEV1/FVC ratio (<0.7) are defined as restrictive and obstructive patterns, respectively. Urine albumin to urine creatinine levels ratio (UACR) were measured in spot urine samples. MAU was defined as UACR >30 mg/g.

resultsInverse relationship was observed between lung function and UACR. In an age-adjusted regression model, the regression coefficient (B) of 10% lower FVC was 11.09 in men (P = 0.002), which remained significant after adjustment for SBP, FBG, triglyceride level, BMI, smoking history, and heavy alcohol consumption (B = 7.52, P = 0.043). When the restrictive pattern was compared to the normal pattern, the odds ratios (OR) (95% confidence interval, 95%CI) for MAU were 1.90 (1.32-2.72) in men, after adjustment for age, hypertension, diabetes mellitus, triglyceride level, obesity, smoking history, physical activity, and heavy alcohol consumption.

conclusionsOur study, the first investigation in Asia, demonstrated that the restrictive pattern is related to MAU in men. Furthermore, there was linear relationship between lower FVC and UACR. Thus, our current study suggests that poor lung function, particularly the restrictive pattern, is related to kidney damage as well as atherosclerosis.

Indexed as

Forced Expiratory VolumeVital CapacityAgedAge FactorsAlbuminuriaAlcoholismAtherosclerosisBiomarkersCardiovascular DiseasesComorbidityCreatinineDiabetes MellitusFemaleHumansHypertriglyceridemiaKidney DiseasesBiomarkersCreatinine

Identifiers

PMID24718679
PMCPMC3981770

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.