Evidence map›Paper›PMID 31862942›Full record

ArticleScientific reports2019

Smoking and risk of incident end-stage kidney disease in general population: A Nationwide Population-based Cohort Study from Korea.

Hong Sang Choi, Kyung-Do Han, Tae Ryom Oh, Chang Seong Kim, Eun Hui Bae, Seong Kwon Ma, Soo Wan Kim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  15. Cigarette Smoke Modulates Inflammation and ImmunityAntioxidants & redox signaling · 2023
    Review
  16. Article
  17. Article
  18. Racial Health Disparity and COVID-19.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2021
    Review
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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

7 authors at 2 institutions in 1 country.

Hong Sang ChoiDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, 61469, Korea.
Kyung-Do HanDepartment of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Tae Ryom OhDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, 61469, Korea.
Chang Seong KimDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, 61469, Korea.
Eun Hui BaeDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, 61469, Korea.
Seong Kwon MaDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, 61469, Korea.
Soo Wan KimDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, 61469, Korea. skimw@chonnam.ac.kr.ORCID http://orcid.org/0000-0002-3540-9004
Chonnam National University · KRCatholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed data from the Korean National Health Insurance Service (NHIS) to investigate whether smoking increases the risk of end-stage kidney disease (ESKD). This retrospective nationwide population-based cohort study included the data of 23,232,091 participants who underwent at least one health examination between 2009 and 2012. Smoking status was recorded at baseline. The incidence of ESKD was identified via ICD-10 codes and special medical aid codes from the Korean National Health Insurance Service database till December 2016. A Cox proportional-hazards model with multivariable adjustment was used to evaluate the association between smoking and ESKD incidence. Overall, 24.6% of participants were current smokers; 13.5% and 61.9%, were ex- and non-smokers, respectively. Overall, 45,143 cases of ESKD developed during the follow-up period. Current smokers (hazard ratio [HR], 1.39; 95% confidence interval [CI], 1.35-1.43) and ex-smokers (HR, 1.09; 95% CI, 1.06-1.12) demonstrated a significant increase in the adjusted risk of ESKD compared to non-smokers. The risk of ESKD was directly proportional to the smoking duration, number of cigarettes smoked daily, and pack-years. In conclusion, smoking is associated with a greater risk of ESKD in the general Korean population; the risk increases with an increase in the smoking duration, number of cigarettes smoked daily, and pack-years.

Indexed as

AdultAgedCohort StudiesFemaleHumansIncidenceKidney Failure, ChronicKoreaMaleMiddle AgedProportional Hazards ModelsSmoking

Identifiers

PMID31862942
PMCPMC6925223
OpenAlexW2995693027

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.