Evidence map›Paper›PMID 30830657›Full record

ArticleInternational urology and nephrology2019

How to estimate renal function in patients with liver disease: choosing the most suitable equation.

Song Ren, Yue Chang, Qing Zhang, Xiang Wang, Haiyan Niu, Linyan Chen, Chengjiao Lv, Zhengyun Zhang, Xiaohui Xiang, Limin Zhu and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Value of 2 risk prediction models in predicting the risk of atherosclerosis in patients with chronic kidney disease.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
    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

11 authors at 3 institutions in 1 country.

Song RenDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, People's Republic of China.
Yue ChangDepartment of Hepatopancreatobiliary and Splenic Medicine, Affiliated Hospital, Logistics University of People's Armed Police Force, 220 Chenglin Road, Hedong District, Tianjin, 300162, People's Republic of China.
Qing ZhangDepartment of Hepatopancreatobiliary and Splenic Medicine, Affiliated Hospital, Logistics University of People's Armed Police Force, 220 Chenglin Road, Hedong District, Tianjin, 300162, People's Republic of China.
Xiang WangDepartment of Ultrasonography, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, Shaanxi, People's Republic of China.
Haiyan NiuDepartment of Hepatopancreatobiliary and Splenic Medicine, Affiliated Hospital, Logistics University of People's Armed Police Force, 220 Chenglin Road, Hedong District, Tianjin, 300162, People's Republic of China.
Linyan ChenDepartment of Hepatopancreatobiliary and Splenic Medicine, Affiliated Hospital, Logistics University of People's Armed Police Force, 220 Chenglin Road, Hedong District, Tianjin, 300162, People's Republic of China.
Chengjiao LvDepartment of Hepatopancreatobiliary and Splenic Medicine, Affiliated Hospital, Logistics University of People's Armed Police Force, 220 Chenglin Road, Hedong District, Tianjin, 300162, People's Republic of China.
Zhengyun ZhangDepartment of Hepatopancreatobiliary and Splenic Medicine, Affiliated Hospital, Logistics University of People's Armed Police Force, 220 Chenglin Road, Hedong District, Tianjin, 300162, People's Republic of China.
Xiaohui XiangDepartment of Hepatopancreatobiliary and Splenic Medicine, Affiliated Hospital, Logistics University of People's Armed Police Force, 220 Chenglin Road, Hedong District, Tianjin, 300162, People's Republic of China.
Limin ZhuDepartment of Hepatopancreatobiliary and Splenic Medicine, Affiliated Hospital, Logistics University of People's Armed Police Force, 220 Chenglin Road, Hedong District, Tianjin, 300162, People's Republic of China.
Hai LiDepartment of Hepatopancreatobiliary and Splenic Medicine, Affiliated Hospital, Logistics University of People's Armed Police Force, 220 Chenglin Road, Hedong District, Tianjin, 300162, People's Republic of China. haili_tj@sina.com.ORCID http://orcid.org/0000-0001-9563-6842
Logistics University of People's Armed Police Force · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

The National Science and Technology Major Project 2016ZX10002011
6 · The paper itself

Abstract

backgroundHepatitis B virus (HBV) infection is a public health challenge, especially in China. In clinical practice, HBV infection is associated with nephropathy. Impaired renal function is frequently observed in compensated Chronic Hepatitis B (CHB) and cirrhosis (LC). Thus, renal function must be monitored to avoid nephrotoxic effects before and during nucleoside analog treatment. Investigating the predictive markers of early renal dysfunction is essential. New GFR-predicting equations, based on Pcr and/or CystC, have been recently recommended in the general population, but their performance in liver disease patients has been rarely studied. In this study, we will discuss how to detect renal dysfunction in patients with HBV infection.

methodsA total of 16 LC patients and 23 CHB patients were enrolled in this study, and we collected and compared the clinical data of the two groups. The estimated glomerular filtration rates (eGFRs) were also calculated by several equations. All patients received 99mTc-DTPA dynamic radionuclide imaging examinations to obtain mGFRs as the reference standard. To evaluate the performance of any equation in the CHB and LC groups, paired t test, Pearson's correlation, Kappa analysis and Bland-Altman plots were utilized. Moreover, all 39 subjects were divided into two groups (according to GFR > 90 mL/min/1.73 m

resultsThe mGFR was 72.26 ± 20.69 mL/min/1.73 m

conclusionThe CHINAcr-cys equation may be more suitable for the estimation of GFR in Chinese patients with CHB or compensated cirrhosis. INR, creatinine, NAG, and CysC are proper biomarkers for screening renal dysfunction in Chinese patients with CHB or compensated LC.

Indexed as

Glomerular Filtration RateMathematical ConceptsAcetylglucosaminidaseAdultCreatinineCystatin CFemaleHepatitis B, ChronicHumansInternational Normalized RatioKidneyLiver CirrhosisMaleMiddle AgedSingle Photon Emission Computed Tomography Computed TomographyTechnetium Tc 99m PentetateAcetylglucosaminidaseCreatinineCystatin CTechnetium Tc 99m PentetateGlomerular filtration rateHepatic fibrosisHepatitis B virusRenal injury

Identifiers

PMID30830657
OpenAlexW2919910018

What OpenQuestion holds

Textmetadata
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.