Evidence map›Paper›PMID 38503784›Full record

ArticleScientific reports2024

The estimated mediating roles of anemia-related variables in the association between kidney function and mortality: a National Health and Nutrition Examination Survey (NHANES) study.

Yae Hyun Kim, Whanhee Lee, Kyun Young Kim, Yaerim Kim, Ara Ko, Boram Weon, Jeonghwan Lee, Wencheng Jin, Dong Ki Kim, Yon Su Kim and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

13 authors at 12 institutions in 2 countries.

Yae Hyun Kim *Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Whanhee Lee *School of Biomedical Convergence Engineering, Pusan National University College of Information and Biomedical Engineering, Pusan, Korea.
Kyun Young KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Yaerim KimDepartment of Internal Medicine, Keimyung University School of Medicine, Taegu, Korea.
Ara KoDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Boram WeonDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Jeonghwan LeeDepartment of Internal Medicine, Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea.
Wencheng JinDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Yon Su KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Chun Soo LimDepartment of Internal Medicine, Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea.
Jung Pyo LeeDepartment of Internal Medicine, Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea. jungpyolee@snu.ac.kr.
Korean Association for the study of Renal Anemia, artificial Intelligence (KARAI)
Seoul National University · KRCatholic University of Korea · KRPusan National University · KRChungnam National University · KREwha Womans University · KRGachon University · KRHallym University · KRKorea University · KRKyung Hee University · KRNational Health Insurance Service Ilsan Hospital · KRSeoul National University Hospital · KRYonsei University · KR

Funding

Seoul National University Hospital Research Fund 03-2020-2130Seoul National University Research Grant SRnD 800-20200496
6 · The paper itself

Abstract

Anemia is a common complication of chronic kidney disease (CKD), impacting long-term outcomes such as mortality and morbidity. Analyzing NHANES data from 1999 through 2016 for adults aged ≥ 20 years, we assessed the mediating effects of anemia biomarkers (hemoglobin, hematocrit, red cell distribution width [RDW], and mean corpuscular hemoglobin concentration [MCHC]) on CKD-related outcomes by using hazard ratios from a biomarker-adjusted model. Of 44,099 participants, 7463 experienced all-cause death. Cox proportional hazard models revealed a higher all-cause mortality risk in the > 45 years and CKD groups than in the early CKD group. Hemoglobin, hematocrit and MCHC were inversely related to all-cause mortality; RDW was related to mortality. Single mediation analysis showed greater mediating effects of anemia indicators on CKD and mortality in the elderly (> 65 years) population than those in the general population. In the multimediation analysis, the combined mediating effect of anemia was higher in the CKD population than in the general population. This study showed a proportional increase in the mediating effect of anemia with CKD stage, suggesting potential therapeutic avenues. However, further exploration of other mediating factors on kidney outcomes is necessary.

Indexed as

AnemiaRenal Insufficiency, ChronicAdultAgedBiomarkersHemoglobinsHumansKidneyNutrition SurveysRisk FactorsBiomarkersHemoglobinsAnemiaChronic kidney diseaseMediation analysisMortality

Identifiers

PMID38503784
PMCPMC10951385
OpenAlexW4392939128

What OpenQuestion holds

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LicenceCC BY
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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.