Evidence map›Paper›PMID 41465950›Full record

ArticleMedicine2025

Association between dietary protein intake and all-cause mortality among individuals with different estimated glomerular filtration rates: A cohort study from NHANES.

Xin Tao, Yanxia Yi, Yurui Yang, Ziyu Zhao

Abstract read
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xin TaoDepartment of Clinical Nutrition, Suining Central Hospital, Suining, Sichuan Province, China.ORCID 0000-0002-3726-2296
Yanxia YiDepartment of Nephrology, Suining Central Hospital, Suining, Sichuan Province, China.
Yurui YangDepartment of Clinical Nutrition, Suining Central Hospital, Suining, Sichuan Province, China.
Ziyu ZhaoDepartment of Clinical Nutrition, Suining Central Hospital, Suining, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies suggested that dietary protein may influence health outcomes; however, its effects on all-cause mortality in people with different estimated glomerular filtration rates (eGFRs) remain unclear. This study used data from the National Health and Nutrition Examination Survey and the National Death Index from 1999 to 2018 and included 48,930 participants. They were categorized into three groups based on eGFRs: Group 1 ≥ 90 mL/min/1.73 m2; Group 2, 60 < 90 mL/min/1.73 m2; and Group 3 < 60 mL/min/1.73 m2. The participants were further divided into four protein intake levels: Group A < 0.6 g/kg/d; Group B, 0.6 < 0.8 g/kg/d; Group C, 0.8 < 1.2 g/kg/d; and Group D ≥ 1.2 g/kg/d, resulting in group classifications of Group1A, 1B, 1C, 1D, 2A, 2B, 2C, 2D, 3A, 3B, 3C, and 3D. Cox regression analysis and restricted cubic spline models were employed to assess both the relationship and the nonlinear effects of protein intake on all-cause mortality across different eGFR groups. After multivariable adjustments, the protein intake in Groups 1C and 1D had hazard ratios (HRs) of 0.78 (95% confidence interval [CI]: 0.62, 0.99) and 0.76 (95% CI: 0.59, 0.99), respectively, compared to Group 1A. The HR for protein intake in Group 2C was 0.84 (95% CI: 0.74, 0.97) compared to Group 2A. However, no significant differences in HR were observed across protein intake levels in eGFR Group 3. A nonlinear relationship between protein intake and all-cause mortality was found in Groups 1 and 2, with P values of .0059 and .0011, respectively. In contrast, no statistically significant nonlinear relationship was found in eGFR Group 3. This study found that the impact of dietary protein intake on all-cause mortality varied with eGFRs.

Indexed as

Dietary ProteinsGlomerular Filtration RateMortalityRenal Insufficiency, ChronicAdultAgedCause of DeathCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysProportional Hazards ModelsDietary Proteinsall-cause mortalitydietary protein intakeestimated glomerular filtration rates

Identifiers

PMID41465950
PMCPMC12746941

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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.