Evidence map›Paper›PMID 28623247›Full record

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

Evaluation of Serological Indicators and Glomerular Filtration Rate Equations in Chinese Cancer Patients.

Yingna Tong, Xiaobin Liu, Mingxiu Guan, Meng Wang, Lufang Zhang, Dong Dong, Ruifang Niu, Fei Zhang, Yunli Zhou

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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 47% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The Ratio of NT-proBNP to CysCFrontiers in cardiovascular medicine · 2021
    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

9 authors at 3 institutions in 1 country.

Yingna TongDepartment of Clinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin, China (mainland).
Xiaobin LiuDepartment of Clinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin, China (mainland).
Mingxiu GuanDepartment of Clinical Laboratory, Tianjin Baodi Affiliated Hospital of Tianjin Medical University, Tianjin, China (mainland).
Meng WangDepartment of Clinical Laboratory, Capital Medical University Beijing Obstetrics and Gynecology Hospital, Beijing, China (mainland).
Lufang ZhangDepartment of Clinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin, China (mainland).
Dong DongDepartment of Clinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin, China (mainland).
Ruifang NiuPublic Laboratory, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Medical University, Tianjin, China (mainland).
Fei ZhangPublic Laboratory, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Medical University, Tianjin, China (mainland).
Yunli ZhouDepartment of Clinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin, China (mainland).
Tianjin Medical University Cancer Institute and Hospital · CNCapital Medical University · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The performance of estimated glomerular filtration rate (eGFR) have been proved to vary according to the races of the target population. The eGFR equations have not been validated in the Chinese cancer population received chemotherapy. Meanwhile, serum cystatin C (CysC), urea, β2 microglobulin (β2-MG), and creatinine (SCr) were also evaluated in a cohort of Chinese cancer patients. MATERIAL AND METHODS A total of 1000 cancer patients undergoing combination chemotherapy and 108 healthy volunteers were included in this study, and their renal function parameters were evaluated. The eGFR values were compared with reference GFR (rGFR) according to correlation, consistency, precision, and accuracy. Receiver operating characteristic (ROC) curves were used to evaluate the discriminating ability of the GFR equations and serological indicators of renal function. RESULTS (1) The equations contained CysC had the same varying tendency as rGFR in relation to the chemotherapeutic cycle. (2) eGFRscr+cysc and eGFRChinese scr+cysc worked better than the other equations, as indicated by a stronger correlation, less bias, improved precision, higher accuracy, and greater AUC. (3) CysC was more sensitive than the other serological indicators for identifying early renal injury. (4) Each parameter showed different characteristics in subgroups of Chinese cancer patients. CONCLUSIONS CysC was the most sensitive marker for early renal injury. Among the 8 most commonly used eGFR equations, the combination equation eGFRscr+cysc and eGFRChinese scr+cysc exhibited the best performance in the assessment of the renal function of Chinese cancer patients.

Indexed as

Asian PeopleAdultAgedAged, 80 and overCase-Control StudiesFemaleGlomerular Filtration RateHumansMaleMiddle AgedNeoplasmsRenal Insufficiency, ChronicROC Curve

Identifiers

PMID28623247
PMCPMC5486681
OpenAlexW2625355018

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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.