Evidence map›Paper›PMID 28434010›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2017

Dynamic Analysis of Kidney Function and Its Correlation with Nutritional Indicators in a Large Sample of Hospitalized Elderly Patients.

Li Qingping, Wei Ribao, Wang Yang, Su Tingyu, Yang Xi, Huang Mengjie, Miao Hui, Chen Xiangmei

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Li QingpingDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China (mainland).
Wei RibaoDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China (mainland).
Wang YangDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China (mainland).
Su TingyuDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China (mainland).
Yang XiDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China (mainland).
Huang MengjieDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China (mainland).
Miao HuiDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China (mainland).
Chen XiangmeiDepartment of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China (mainland).
Chinese PLA General Hospital · CNState Key Laboratory of Kidney Diseases

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aim of this study was to analyze changes in kidney function and its correlation with nutritional metabolism indicators in hospitalized elderly patients in a large medical center over the past 7 years. MATERIAL AND METHODS The renal function of patients over 60 years old in the Chinese PLA General Hospital in 2008, 2011, and 2014 were comparatively analyzed. The hemoglobin, serum albumin, triglycerides, cholesterol, uric acid, and urea nitrogen data were collected and used as the nutritional metabolism indicators. In addition, the correlation between these indicators and the eGFR was analyzed. RESULTS The numbers of patients who received kidney function assessments in the 3 years were 15 752, 23 539, and 49 828; their mean ages were 69.97±6.99, 69.51±7.11, and 69.45±7.74 years. The median values of serum creatinine were 75.4, 76.5, and 77.5 μmol/L in the men and 59.6, 60.7, and 62.1 μmol/L in the women. The eGFR in both sexes demonstrated a gradual decreasing trend over the 3 years. According to the CKD staging method, analysis of the different percentages of eGFR intervals in the patients showed that the percentages of the 3 groups with an eGFR lower than 60 mL/min/1.73 m² exhibited a rising trend annually. Correlational analysis of the nutritional indicators showed that the correlations between Hb, ALB, TG, TC, Ur, and BUN with an eGFR lower than 60 mL/min/1.73 m² were 0.582, 0.780, 1.219, 1.364, 2.180, and 3.677, respectively. CONCLUSIONS Serum creatinine showed a gradually increasing trend over the 3 study years. The CKD-EPI equation calculation results showed that the eGFR in elderly people of both sexes gradually decreased. Reduction of hemoglobin and albumin was a risk factor for decreased kidney function, while increases in uric acid and blood lipids affected the progression of renal insufficiency.

Indexed as

Nutrition AssessmentAgedAge FactorsChinaDisease ProgressionFemaleGeriatric AssessmentGlomerular Filtration RateHospitalizationHumansKidney Function TestsLongitudinal StudiesMaleRenal InsufficiencyRenal Insufficiency, ChronicRisk Factors

Identifiers

PMID28434010
PMCPMC5411021
OpenAlexW2605929326

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LicenceCC BY-NC-ND
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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.