Evidence map›Paper›PMID 37093440›Full record

ArticleInternational urology and nephrology2023

The association between skipping breakfast and chronic kidney disease.

Chulmin Gahm, Sangshin Park

Registry-linked trialAbstract read
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In one paragraph

Article in International urology and nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05894993 (Transient Elastograghy to Detect NAFLD in RTRs), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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.

NCT05894993 unknown statusnot on this map

Transient Elastograghy to Detect NAFLD in RTRs

TypeobservationalSponsorAmany Khaled Ali AhmedRan2023 to 2025Enrolled50ConditionsNon-Alcoholic Fatty Liver Disease, Renal Transplant Complication Pre-Existing DiseaseArmstransient elastograghy
3 · Its place in the literature

Who cites it

6 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

2 authors.

Chulmin GahmGraduate School of Urban Public Health, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul, 02504, Republic of Korea.
Sangshin ParkGraduate School of Urban Public Health, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul, 02504, Republic of Korea. dvm.spark@gmail.com.ORCID http://orcid.org/0000-0003-2407-0962

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThere are few reports on the relationship between skipping breakfast and chronic kidney disease (CKD). We examined the skipping breakfast-CKD relationship and the mediation effects of metabolic diseases (obesity, hypertension, and diabetes) on this relationship. SUBJECTS/

methodsWe analyzed the data of 21,138 participants aged ≥ 40 years from the Korea National Health and Nutrition Examination Survey 2013-2018. Skipping breakfast was defined as rarely eating breakfast over the past year. CKD was defined as decreased kidney function expressed by an estimated glomerular filtration rate of < 60 mL/min/1.73 m

resultsAbout 7.6% of participants skipped breakfast, and 5.5% had CKD. After adjusting for confounders, participants who skipped breakfast were at higher odds of having CKD (odds ratio 1.61; 95% confidence interval 1.07-2.42; p value 0.021) compared to those who did not skip breakfast. With full adjustments for confounders, skipping breakfast was not significantly associated with any metabolic diseases, while CKD was significantly associated with diabetes and hypertension.

conclusionWe found that middle-aged or older people who skipped breakfast had a significantly higher odds of having CKD compared to those who did not skip breakfast. However, metabolic diseases did not mediate the relationship between skipping breakfast and CKD.

Indexed as

Diabetes MellitusHypertensionMetabolic DiseasesRenal Insufficiency, ChronicAgedBreakfastFeeding BehaviorHumansMiddle AgedNutrition SurveysChronic kidney diseaseDiabetesHypertensionObesitySkipping breakfast

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Registered trials

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.